A citation-based method for searching scientific literature

Nagasundaram Nagarajan, Edward K Y Yapp, Nguyen Quoc Khanh Le, Balu Kamaraj, Abeer Mohammed Al-Subaie, Hui-Yuan Yeh. Biomed Res Int 2019
Times Cited: 9







List of co-cited articles
45 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Artificial intelligence in drug development: present status and future prospects.
Kit-Kay Mak, Mallikarjuna Rao Pichika. Drug Discov Today 2019
96
44

The potential for artificial intelligence in healthcare.
Thomas Davenport, Ravi Kalakota. Future Healthc J 2019
165
33

The emerging roles of artificial intelligence in cancer drug development and precision therapy.
Guosheng Liang, Wenguo Fan, Hui Luo, Xiao Zhu. Biomed Pharmacother 2020
19
33

Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions.
Sezen Vatansever, Avner Schlessinger, Daniel Wacker, H Ümit Kaniskan, Jian Jin, Ming-Ming Zhou, Bin Zhang. Med Res Rev 2021
9
33


Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology: A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study).
Sanjay Mukhopadhyay, Michael D Feldman, Esther Abels, Raheela Ashfaq, Senda Beltaifa, Nicolas G Cacciabeve, Helen P Cathro, Liang Cheng, Kumarasen Cooper, Glenn E Dickey,[...]. Am J Surg Pathol 2018
132
22

Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology.
Kaustav Bera, Kurt A Schalper, David L Rimm, Vamsidhar Velcheti, Anant Madabhushi. Nat Rev Clin Oncol 2019
189
22


Artificial intelligence in healthcare: past, present and future.
Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen, Yongjun Wang. Stroke Vasc Neurol 2017
441
22

Overview of artificial intelligence in medicine.
Amisha, Paras Malik, Monika Pathania, Vyas Kumar Rathaur. J Family Med Prim Care 2019
61
22

Changing Technologies of RNA Sequencing and Their Applications in Clinical Oncology.
Ye Wang, Michael Mashock, Zhuang Tong, Xiaofeng Mu, Hong Chen, Xin Zhou, Hong Zhang, Gexin Zhao, Bin Liu, Xinmin Li. Front Oncol 2020
15
22

Comparative Tumor RNA Sequencing Analysis for Difficult-to-Treat Pediatric and Young Adult Patients With Cancer.
Olena M Vaske, Isabel Bjork, Sofie R Salama, Holly Beale, Avanthi Tayi Shah, Lauren Sanders, Jacob Pfeil, Du L Lam, Katrina Learned, Ann Durbin,[...]. JAMA Netw Open 2019
17
22


eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates.
Limeng Pu, Misagh Naderi, Tairan Liu, Hsiao-Chun Wu, Supratik Mukhopadhyay, Michal Brylinski. BMC Pharmacol Toxicol 2019
20
22

Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
Sheng Wang, Siqi Sun, Zhen Li, Renyu Zhang, Jinbo Xu. PLoS Comput Biol 2017
346
22

Molecular docking and structure-based drug design strategies.
Leonardo G Ferreira, Ricardo N Dos Santos, Glaucius Oliva, Adriano D Andricopulo. Molecules 2015
387
22

Applications of Machine Learning Methods in Drug Toxicity Prediction.
Li Zhang, Hui Zhang, Haixin Ai, Huan Hu, Shimeng Li, Jian Zhao, Hongsheng Liu. Curr Top Med Chem 2018
24
22


A Structure-Based Drug Discovery Paradigm.
Maria Batool, Bilal Ahmad, Sangdun Choi. Int J Mol Sci 2019
78
22

Improved protein structure prediction using potentials from deep learning.
Andrew W Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W R Nelson, Alex Bridgland,[...]. Nature 2020
524
22

ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning.
Dejun Jiang, Tailong Lei, Zhe Wang, Chao Shen, Dongsheng Cao, Tingjun Hou. J Cheminform 2020
11
22

Empirical Scoring Functions for Structure-Based Virtual Screening: Applications, Critical Aspects, and Challenges.
Isabella A Guedes, Felipe S S Pereira, Laurent E Dardenne. Front Pharmacol 2018
67
22

Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.
Hyuna Sung, Jacques Ferlay, Rebecca L Siegel, Mathieu Laversanne, Isabelle Soerjomataram, Ahmedin Jemal, Freddie Bray. CA Cancer J Clin 2021
22

A de novo molecular generation method using latent vector based generative adversarial network.
Oleksii Prykhodko, Simon Viet Johansson, Panagiotis-Christos Kotsias, Josep Arús-Pous, Esben Jannik Bjerrum, Ola Engkvist, Hongming Chen. J Cheminform 2019
40
22

Drug discovery and development: Role of basic biological research.
Richard C Mohs, Nigel H Greig. Alzheimers Dement (N Y) 2017
83
22

Computational methods in drug discovery.
Gregory Sliwoski, Sandeepkumar Kothiwale, Jens Meiler, Edward W Lowe. Pharmacol Rev 2013
600
22

Deep learning enables rapid identification of potent DDR1 kinase inhibitors.
Alex Zhavoronkov, Yan A Ivanenkov, Alex Aliper, Mark S Veselov, Vladimir A Aladinskiy, Anastasiya V Aladinskaya, Victor A Terentiev, Daniil A Polykovskiy, Maksim D Kuznetsov, Arip Asadulaev,[...]. Nat Biotechnol 2019
200
22

Rethinking drug design in the artificial intelligence era.
Petra Schneider, W Patrick Walters, Alleyn T Plowright, Norman Sieroka, Jennifer Listgarten, Robert A Goodnow, Jasmin Fisher, Johanna M Jansen, José S Duca, Thomas S Rush,[...]. Nat Rev Drug Discov 2020
104
22

REINVENT 2.0: An AI Tool for De Novo Drug Design.
Thomas Blaschke, Josep Arús-Pous, Hongming Chen, Christian Margreitter, Christian Tyrchan, Ola Engkvist, Kostas Papadopoulos, Atanas Patronov. J Chem Inf Model 2020
27
22

Advances in de Novo Drug Design: From Conventional to Machine Learning Methods.
Varnavas D Mouchlis, Antreas Afantitis, Angela Serra, Michele Fratello, Anastasios G Papadiamantis, Vassilis Aidinis, Iseult Lynch, Dario Greco, Georgia Melagraki. Int J Mol Sci 2021
11
22

Advancing Drug Discovery via Artificial Intelligence.
H C Stephen Chan, Hanbin Shan, Thamani Dahoun, Horst Vogel, Shuguang Yuan. Trends Pharmacol Sci 2019
65
22

Artificial Intelligence for Clinical Trial Design.
Stefan Harrer, Pratik Shah, Bhavna Antony, Jianying Hu. Trends Pharmacol Sci 2019
67
22



Machine learning in chemoinformatics and drug discovery.
Yu-Chen Lo, Stefano E Rensi, Wen Torng, Russ B Altman. Drug Discov Today 2018
237
22


Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery.
Xin Yang, Yifei Wang, Ryan Byrne, Gisbert Schneider, Shengyong Yang. Chem Rev 2019
129
22

Structure-based virtual screening for drug discovery: principles, applications and recent advances.
Evanthia Lionta, George Spyrou, Demetrios K Vassilatis, Zoe Cournia. Curr Top Med Chem 2014
325
22

Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era.
Yankang Jing, Yuemin Bian, Ziheng Hu, Lirong Wang, Xiang-Qun Xie. AAPS J 2018
71
22

Applications of machine learning in drug discovery and development.
Jessica Vamathevan, Dominic Clark, Paul Czodrowski, Ian Dunham, Edgardo Ferran, George Lee, Bin Li, Anant Madabhushi, Parantu Shah, Michaela Spitzer,[...]. Nat Rev Drug Discov 2019
300
22


Artificial intelligence in drug discovery and development.
Debleena Paul, Gaurav Sanap, Snehal Shenoy, Dnyaneshwar Kalyane, Kiran Kalia, Rakesh K Tekade. Drug Discov Today 2021
33
22


Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling.
Linlin Zhao, Heather L Ciallella, Lauren M Aleksunes, Hao Zhu. Drug Discov Today 2020
12
22

Machine learning and image-based profiling in drug discovery.
Christian Scheeder, Florian Heigwer, Michael Boutros. Curr Opin Syst Biol 2018
58
22

Role of maximal primary cytoreductive surgery in patients with advanced epithelial ovarian and tubal cancer: Surgical and oncological outcomes. Single institution experience.
Michele Peiretti, Vanna Zanagnolo, Giovanni D Aletti, Luca Bocciolone, Nicoletta Colombo, Fabio Landoni, Lucas Minig, Roberto Biffi, Davide Radice, Angelo Maggioni. Gynecol Oncol 2010
61
11

Optimal primary surgical treatment for advanced epithelial ovarian cancer.
Ahmed Elattar, Andrew Bryant, Brett A Winter-Roach, Mohamed Hatem, Raj Naik. Cochrane Database Syst Rev 2011
207
11

Neoadjuvant Chemotherapy for Newly Diagnosed, Advanced Ovarian Cancer: Society of Gynecologic Oncology and American Society of Clinical Oncology Clinical Practice Guideline.
Alexi A Wright, Kari Bohlke, Deborah K Armstrong, Michael A Bookman, William A Cliby, Robert L Coleman, Don S Dizon, Joseph J Kash, Larissa A Meyer, Kathleen N Moore,[...]. J Clin Oncol 2016
190
11

Artificial intelligence weights the importance of factors predicting complete cytoreduction at secondary cytoreductive surgery for recurrent ovarian cancer.
Giorgio Bogani, Diego Rossetti, Antonino Ditto, Fabio Martinelli, Valentina Chiappa, Lavinia Mosca, Umberto Leone Roberti Maggiore, Stefano Ferla, Domenica Lorusso, Francesco Raspagliesi. J Gynecol Oncol 2018
11
11

Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry.
Sunil Gupta, Truyen Tran, Wei Luo, Dinh Phung, Richard Lee Kennedy, Adam Broad, David Campbell, David Kipp, Madhu Singh, Mustafa Khasraw,[...]. BMJ Open 2014
31
11


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.