Mohit Pandey

1.6k total citations · 1 hit paper
31 papers, 460 citations indexed

About

Mohit Pandey is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics. According to data from OpenAlex, Mohit Pandey has authored 31 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computational Theory and Mathematics. Recurrent topics in Mohit Pandey's work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers) and Seismic Waves and Analysis (3 papers). Mohit Pandey is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers) and Seismic Waves and Analysis (3 papers). Mohit Pandey collaborates with scholars based in India, Canada and United States. Mohit Pandey's co-authors include Artem Cherkasov, Michael Fernández, Francesco Gentile, Alexander Tropsha, Olexandr Isayev, Abraham C. Stern, Subhi J. Al’Aref, Gabriel Maliakal, James K. Min and Gurpreet Singh and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Mohit Pandey

22 papers receiving 443 citations

Hit Papers

The transformational role of GPU computing and deep learn... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The transformational role of GPU computing and deep learning in drug discovery
    2022 147 citations Mohit Pandey, Michael Fernández et al. Nature Machine Intelligence profile →

Peers

Mohit Pandey
Peiliang Zhang China
Ruijin Qiu China
Alireza Mehridehnavi Iran
Ziheng Hu United States
Andreas Karwath United Kingdom
Elyas Sabeti United States
Shashank Shekhar United States
Volker Schnecke Denmark
Limeng Pu United States
Robert Sorrentino United States
Peiliang Zhang China
Mohit Pandey
Citations per year, relative to Mohit Pandey Mohit Pandey (= 1×) peers Peiliang Zhang

Countries citing papers authored by Mohit Pandey

Since Specialization
Citations

This map shows the geographic impact of Mohit Pandey'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 Mohit Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohit Pandey more than expected).

Fields of papers citing papers by Mohit Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohit Pandey. 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 Mohit Pandey. The network helps show where Mohit Pandey may publish in the future.

Co-authorship network of co-authors of Mohit Pandey

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Pandey. A scholar is included among the top collaborators of Mohit Pandey 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 Mohit Pandey. Mohit Pandey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pandey, Mohit, Jane Foo, Morgan A. Alford, et al.. (2025). A scalable reinforcement learning approach for screening large peptide libraries for bioactive peptide discovery. Nature Communications. 16(1). 11685–11685.
2.
3.
Joshi, Samiksha, et al.. (2024). Magnetic Resonance Imaging (MRI) Insights into Brain Morphology and Connectivity Disruptions in Schizophrenia. International Neuropsychiatric Disease Journal. 21(3). 6–10.
4.
Pandey, Mohit, et al.. (2024). A general class of improved population variance estimators under non-sampling errors using calibrated weights in stratified sampling. Scientific Reports. 14(1). 2948–2948. 10 indexed citations
5.
6.
Gentile, Francesco, et al.. (2024). PROTACable Is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning To Automate the De Novo Design of PROTACs. Journal of Chemical Information and Modeling. 64(8). 3034–3046. 13 indexed citations
7.
Pandey, Mohit, et al.. (2023). PurificationDB: database of purification conditions for proteins. Database. 2023. 1 indexed citations
8.
9.
Patel, A., et al.. (2023). A Review on Yield Gap Analysis of Millets in India. International Journal of Plant & Soil Science. 35(18). 1800–1804. 1 indexed citations
10.
Morin, Hélène, Mohit Pandey, Fuqiang Ban, et al.. (2023). Novel Inhibitors of androgen receptor's DNA binding domain identified using an ultra‐large virtual screening. Molecular Informatics. 42(8-9). e2300026–e2300026. 7 indexed citations
11.
Singh, D. K., et al.. (2023). Impact of Organic Farming on the Livelihood of Organic Farmers in Manipur. Asian Journal of Agricultural Extension Economics & Sociology. 41(10). 350–356. 1 indexed citations
12.
Pandey, Mohit, et al.. (2022). Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention Networks. Molecules. 27(16). 5114–5114. 13 indexed citations
13.
Pandey, Mohit, Michael Fernández, Francesco Gentile, et al.. (2022). The transformational role of GPU computing and deep learning in drug discovery. Nature Machine Intelligence. 4(3). 211–221. 147 indexed citations breakdown →
14.
Ton, Anh‐Tien, Mohit Pandey, Jason R. Smith, et al.. (2022). Targeting SARS-CoV-2 papain-like protease in the postvaccine era. Trends in Pharmacological Sciences. 43(11). 906–919. 32 indexed citations
15.
Pandey, Mohit, Zhuoran Xu, Evan Sholle, et al.. (2020). Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing. PLoS ONE. 15(7). e0236827–e0236827. 18 indexed citations
16.
Pandey, Mohit, et al.. (2019). Real time emotions recognition and analysis based music player. International journal of advance research, ideas and innovations in technology. 5(2). 1462–1465. 1 indexed citations
17.
Singh, Gurpreet, Subhi J. Al’Aref, Gabriel Maliakal, et al.. (2019). DEEP LEARNING BASED AUTOMATIC SEGMENTATION OF CARDIAC COMPUTED TOMOGRAPHY. Journal of the American College of Cardiology. 73(9). 1643–1643. 2 indexed citations
18.
Singh, Gurpreet, Subhi J. Al’Aref, Marly van Assen, et al.. (2018). Machine learning in cardiac CT: Basic concepts and contemporary data. Journal of cardiovascular computed tomography. 12(3). 192–201. 79 indexed citations
19.
Pandey, Mohit, et al.. (2016). Scientific standardization of leaves of Chenopodium album L.. Journal of Pharmacognosy and Phytochemistry. 5(5). 1–6. 3 indexed citations
20.
Pandey, Mohit, et al.. (1988). Effect of the Indian gooseberry (amla) on serum cholesterol levels in men aged 35-55 years.. PubMed. 42(11). 939–44. 38 indexed citations

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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