Rohit Singh

3.9k total citations · 1 hit paper
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, Bryan D. Bryson, Armando Solar-Lezama 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

align trajectories

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.

Contrastive learning in protein language space predicts interactions between drugs and protein targets

2023 94 citations Rohit Singh, Samuel Sledzieski et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rohit Singh United States	15	1.1k	356	347	172	103	43	1.5k
Xuequn Shang China	25	1.5k 1.4×	387 1.1×	538 1.6×	31 0.2×	30 0.3×	167	2.3k
Liva Ralaivola France	11	550 0.5×	348 1.0×	299 0.9×	42 0.2×	32 0.3×	26	1.0k
Tamer Kahveci United States	22	1.0k 1.0×	134 0.4×	299 0.9×	69 0.4×	18 0.2×	121	1.6k
Hiroto Saigo Japan	17	809 0.8×	338 0.9×	298 0.9×	40 0.2×	16 0.2×	32	1.3k
Dekel Tsur Israel	12	490 0.5×	150 0.4×	192 0.6×	45 0.3×	44 0.4×	49	831
Minghua Deng China	28	1.9k 1.7×	378 1.1×	397 1.1×	68 0.4×	15 0.1×	88	2.5k
Tijana Milenković United States	26	1.8k 1.7×	601 1.7×	307 0.9×	522 3.0×	11 0.1×	66	2.3k
Xinyi Liu China	14	455 0.4×	248 0.7×	129 0.4×	42 0.2×	30 0.3×	58	945
Lee Sael South Korea	21	698 0.7×	301 0.8×	216 0.6×	113 0.7×	9 0.1×	60	1.3k
Jonathan Cooper United Kingdom	21	966 0.9×	93 0.3×	120 0.3×	34 0.2×	51 0.5×	60	1.9k

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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20 of 20 papers shown

Singh, Rohit, et al.. (2025). Molecular glues evolve from serendipity to rational design. Trends in Pharmacological Sciences. 47(1). 85–99.

Forrester, Michael T., et al.. (2025). Topology-driven discovery of transmembrane protein S-palmitoylation. Journal of Biological Chemistry. 301(3). 108259–108259.

Singh, Rohit, et al.. (2025). Unveiling causal regulatory mechanisms through cell-state parallax. Nature Communications. 16(1). 8096–8096.

Singh, Rohit, et al.. (2024). Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors. Cell Systems. 15(5). 462–474.e5. 7 indexed citations

Naderializadeh, Navid & Rohit Singh. (2024). Aggregating residue-level protein language model embeddings with optimal transport. Bioinformatics Advances. 5(1). vbaf060–vbaf060. 2 indexed citations

Ewen‐Campen, Ben, Haojiang Luan, Jun Xu, et al.. (2023). split-intein Gal4 provides intersectional genetic labeling that is repressible by Gal80. Proceedings of the National Academy of Sciences. 120(24). e2304730120–e2304730120. 11 indexed citations

Sledzieski, Samuel, et al.. (2023). TT3D: Leveraging precomputed protein 3D sequence models to predict protein–protein interactions. Bioinformatics. 39(11). 12 indexed citations

Kumar, Lokender, Samuel Sledzieski, Bonnie Berger, et al.. (2023). Transfer of knowledge from model organisms to evolutionarily distant non-model organisms: The coral Pocillopora damicornis membrane signaling receptome. PLoS ONE. 18(2). e0270965–e0270965. 5 indexed citations

Singh, Rohit, et al.. (2022). Topsy-Turvy: integrating a global view into sequence-based PPI prediction. Bioinformatics. 38(Supplement_1). i264–i272. 39 indexed citations

10.

Singh, Rohit, et al.. (2021). Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities. Genome biology. 22(1). 131–131. 27 indexed citations

11.

Sledzieski, Samuel, Rohit Singh, Lenore Cowen, & Bonnie Berger. (2021). D-SCRIPT translates genome to phenome with sequence-based, structure-aware, genome-scale predictions of protein-protein interactions. Cell Systems. 12(10). 969–982.e6. 98 indexed citations

12.

Singh, Rohit, Ahmed K. Elmagarmid, Samuel Madden, et al.. (2017). Generating Concise Entity Matching Rules. 1635–1638. 32 indexed citations

13.

Singh, Rohit & Armando Solar-Lezama. (2016). Swapper: a framework for automatic generation of formula simplifiers based on conditional rewrite rules. 185–192. 2 indexed citations

14.

Itzhaky, Shachar, Rohit Singh, Armando Solar-Lezama, et al.. (2016). Deriving divide-and-conquer dynamic programming algorithms using solver-aided transformations. ACM SIGPLAN Notices. 51(10). 145–164. 8 indexed citations

15.

Singh, Rohit & H. S. Jamadagni. (2015). Behavioral epidemic analysis on Random Graph model for smart wireless networks. 1–6. 2 indexed citations

16.

Hosur, Raghavendra, Rohit Singh, & Bonnie Berger. (2011). Sparse estimation for structural variability. Algorithms for Molecular Biology. 6(1). 12–12. 1 indexed citations

17.

Friedman, Adam A., George Tucker, Rohit Singh, et al.. (2011). Proteomic and Functional Genomic Landscape of Receptor Tyrosine Kinase and Ras to Extracellular Signal–Regulated Kinase Signaling. Science Signaling. 4(196). rs10–rs10. 71 indexed citations

18.

Singh, Rohit, Daeui Park, Jinbo Xu, Ramakrishna V. Hosur, & Bonnie Berger. (2010). Struct2Net: a web service to predict protein-protein interactions using a structure-based approach. Nucleic Acids Research. 38(Web Server). W508–W515. 90 indexed citations

19.

Behari, Sanjay, Rohit Singh, Devendra Gupta, et al.. (2010). Sinus pericranii with unusual features: multiplicity, associated dural venous lakes and venous anomaly, and a lateral location. Acta Neurochirurgica. 152(12). 2197–2204. 10 indexed citations

20.

Sterner, Beckett, Rohit Singh, & Bonnie Berger. (2007). Predicting and Annotating Catalytic Residues: An Information Theoretic Approach. Journal of Computational Biology. 14(8). 1058–1073. 21 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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