Mohan Rao

730 total citations
13 papers, 446 citations indexed

About

Mohan Rao is a scholar working on Computational Theory and Mathematics, Molecular Biology and Immunology. According to data from OpenAlex, Mohan Rao has authored 13 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Mohan Rao's work include Computational Drug Discovery Methods (8 papers), Biosimilars and Bioanalytical Methods (3 papers) and Pharmaceutical Economics and Policy (2 papers). Mohan Rao is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Biosimilars and Bioanalytical Methods (3 papers) and Pharmaceutical Economics and Policy (2 papers). Mohan Rao collaborates with scholars based in United States and Switzerland. Mohan Rao's co-authors include Terry R. Van Vleet, Michael J. Liguori, Scott W. Mittelstadt, Eric A.G. Blomme, Andy H. Vo, Rishi R. Gupta, Wayne R. Buck, Rita Ciurlionis, Xin Huang and Srinivasa R. Mantena and has published in prestigious journals such as Journal of the American College of Cardiology, The FASEB Journal and Toxicological Sciences.

In The Last Decade

Mohan Rao

10 papers receiving 439 citations

Peers

Countries citing papers authored by Mohan Rao

Since Specialization

Citations

This map shows the geographic impact of Mohan Rao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohan Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Rao more than expected).

Fields of papers citing papers by Mohan Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohan Rao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohan Rao. The network helps show where Mohan Rao may publish in the future.

Co-authorship network of co-authors of Mohan Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Mohan Rao. A scholar is included among the top collaborators of Mohan Rao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohan Rao. Mohan Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	De-risking seizure liability: integrating adverse outcome pathways (AOPs), new approach methodologies (NAMs), and in silico approaches while highlighting knowledge gaps 2025 ·Toxicological Sciences ·Mamta Behl, Agnes L. Karmaus, Mohan Rao, Thomas R. Lane, Joshua D. Harris, Clifford Sachs, Alexandre Borrel, (unknown), (unknown), Jonathan T. Hamm, Helena T. Högberg	0
2	Artificial Intelligence and Machine Learning Models for Predicting Drug-Induced Kidney Injury in Small Molecules 2024 ·Pharmaceuticals ·Mohan Rao, Vahid Nassiri, Sanjay Srivastava, Amy H. Yang, (unknown), (unknown), Clifford Sachs	6
3	Safety Implications of Modulating Nuclear Receptors: A Comprehensive Analysis from Non-Clinical and Clinical Perspectives 2024 ·Pharmaceuticals ·Mohan Rao, (unknown), Sanjay Srivastava, (unknown), Clifford Sachs	2
4	Artificial Intelligence/Machine Learning-Driven Small Molecule Repurposing via Off-Target Prediction and Transcriptomics 2023 ·Toxics ·Mohan Rao, (unknown), Clifford Sachs	12
5	AI/ML Models to Predict the Severity of Drug-Induced Liver Injury for Small Molecules 2023 ·Chemical Research in Toxicology ·Mohan Rao, Vahid Nassiri, Cristóbal Alhambra, Jan Snoeys, Freddy Van Goethem, Onyi Irrechukwu, Michael D. Aleo, Helena Geys, Kaushik Mitra, Yvonne Will	18
6	THE SPECTRUM AND OUTCOMES OF ARRHYTHMIA IN SICKLE CELL HOSPITALIZATIONS 2021 ·Journal of the American College of Cardiology ·Harsh Patel, Nikhil Agrawal, Samarthkumar Thakkar, (unknown), Ankita Kapoor, (unknown), (unknown), (unknown), Aakash Sheth, Toralben Patel, (unknown), (unknown), (unknown), Mohan Rao	0
7	Comparison of RNA-Seq and Microarray Gene Expression Platforms for the Toxicogenomic Evaluation of Liver From Short-Term Rat Toxicity Studies 2019 ·Frontiers in Genetics ·Mohan Rao, Terry R. Van Vleet, Rita Ciurlionis, Wayne R. Buck, Scott W. Mittelstadt, Eric A.G. Blomme, Michael J. Liguori	162
8	Novel Computational Approach to Predict Off-Target Interactions for Small Molecules 2019 ·Frontiers in Big Data ·Mohan Rao, Rishi Gupta, Michael J. Liguori, Mufeng Hu, Xin Huang, Srinivasa R. Mantena, Scott W. Mittelstadt, Eric A.G. Blomme, Terry R. Van Vleet	71
9	Increased stress associated with head-out plethysmography testing can exacerbate respiratory effects and lead to mortality in rats 2019 ·Journal of Pharmacological and Toxicological Methods ·James J. Lynch, Emilie Rossignol, Joerg J. Moehrle, Terry R. Van Vleet, Kennan C. Marsh, Toufan Parman, Jon C. Mirsalis, (unknown), Jason A. Segreti, Mohan Rao, Scott W. Mittelstadt	5
10	An Overview of Machine Learning and Big Data for Drug Toxicity Evaluation 2019 ·Chemical Research in Toxicology ·Andy H. Vo, Terry R. Van Vleet, Rishi R. Gupta, Michael J. Liguori, Mohan Rao	131
11	Screening Strategies and Methods for Better Off-Target Liability Prediction and Identification of Small-Molecule Pharmaceuticals 2018 ·SLAS DISCOVERY ·Terry R. Van Vleet, Michael J. Liguori, James J. Lynch, Mohan Rao, Scott E. Warder	37
12	Abstract #1077: The Effect of Prandial State on Thyrotropin Levels in Pregnancy 2017 ·Endocrine Practice ·(unknown), Mohan Rao	0
13	Computational Prediction of Off‐Target Pharmacology for Discontinued Drugs 2017 ·The FASEB Journal ·Mohan Rao, Michael J. Liguori, Srinivasa R. Mantena, Scott W. Mittelstadt, Eric A.G. Blomme, Terry Van Vleet	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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