Rohit Singh

115 total papers · 3.9k total citations
43 papers, 1.5k citations indexed

About

Rohit Singh is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Rohit Singh has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Artificial Intelligence and 7 papers in Computational Theory and Mathematics. Recurrent topics in Rohit Singh's work include Bioinformatics and Genomic Networks (11 papers), Protein Structure and Dynamics (9 papers) and Machine Learning in Bioinformatics (8 papers). Rohit Singh is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Protein Structure and Dynamics (9 papers) and Machine Learning in Bioinformatics (8 papers). Rohit Singh collaborates with scholars based in United States, India and France. Rohit Singh's co-authors include Bonnie Berger, Jinbo Xu, Michael Baym, Samuel Sledzieski, Lenore Cowen, Chung-Shou Liao, Daeui Park, Armando Solar-Lezama, Bryan D. Bryson and Ramakrishna V. Hosur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Rohit Singh

39 papers receiving 1.5k citations

Hit Papers

Contrastive learning in p... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rohit Singh 1.1k 353 342 171 101 43 1.5k
Xiang‐Sun Zhang 1.2k 1.2× 330 0.9× 313 0.9× 492 2.9× 178 1.8× 79 2.3k
David Wild 1.2k 1.1× 877 2.5× 358 1.0× 84 0.5× 41 0.4× 93 2.0k
Lun Hu 1.4k 1.3× 815 2.3× 528 1.5× 206 1.2× 34 0.3× 105 2.3k
Ming Li 592 0.6× 466 1.3× 513 1.5× 62 0.4× 38 0.4× 35 1.5k
Kay Hamacher 933 0.9× 164 0.5× 234 0.7× 89 0.5× 31 0.3× 102 1.7k
Petra Mutzel 494 0.5× 612 1.7× 377 1.1× 222 1.3× 49 0.5× 111 2.0k
Hiroto Saigo 807 0.8× 337 1.0× 296 0.9× 40 0.2× 16 0.2× 32 1.3k
Tamer Kahveci 1.0k 1.0× 135 0.4× 298 0.9× 68 0.4× 18 0.2× 121 1.6k
Xuequn Shang 1.4k 1.4× 383 1.1× 524 1.5× 30 0.2× 30 0.3× 164 2.3k
Jan Ramon 313 0.3× 213 0.6× 606 1.8× 47 0.3× 39 0.4× 100 1.4k

Countries citing papers authored by Rohit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohit Singh

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

All Works

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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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