Mona Singh

7.8k total citations · 1 hit paper
126 papers, 5.3k citations indexed

About

Mona Singh is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Mona Singh has authored 126 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 14 papers in Plant Science and 10 papers in Genetics. Recurrent topics in Mona Singh's work include RNA and protein synthesis mechanisms (27 papers), Bioinformatics and Genomic Networks (25 papers) and Protein Structure and Dynamics (23 papers). Mona Singh is often cited by papers focused on RNA and protein synthesis mechanisms (27 papers), Bioinformatics and Genomic Networks (25 papers) and Protein Structure and Dynamics (23 papers). Mona Singh collaborates with scholars based in United States, India and United Kingdom. Mona Singh's co-authors include John A. Capra, Bernard Chazelle, Anton V. Persikov, Peter S. Kim, Peng Jiang, Kam Jim, V.N. Malashkevich, Elena Nabieva, Bonnie Berger and Jimin Song and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mona Singh

122 papers receiving 5.2k citations

Hit Papers

Predicting functionally important residues from sequence ... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona Singh United States 34 4.1k 653 592 440 355 126 5.3k
Kenji Mizuguchi Japan 42 5.0k 1.2× 668 1.0× 692 1.2× 316 0.7× 323 0.9× 232 7.5k
Krzysztof Ginalski Poland 44 4.9k 1.2× 483 0.7× 601 1.0× 751 1.7× 322 0.9× 105 6.3k
Jack Greenblatt Canada 30 5.6k 1.4× 470 0.7× 946 1.6× 297 0.7× 367 1.0× 67 6.4k
Fabian Glaser Israel 34 4.6k 1.1× 536 0.8× 707 1.2× 479 1.1× 367 1.0× 76 6.2k
Avner Schlessinger United States 41 4.2k 1.0× 543 0.8× 551 0.9× 341 0.8× 219 0.6× 110 6.0k
María Martin United Kingdom 28 3.1k 0.8× 842 1.3× 394 0.7× 227 0.5× 292 0.8× 81 4.3k
Kevin R. Oldenburg United States 17 4.5k 1.1× 510 0.8× 459 0.8× 285 0.6× 577 1.6× 37 7.0k
Ambrish Roy United States 17 5.2k 1.3× 928 1.4× 658 1.1× 758 1.7× 436 1.2× 21 7.5k
Roberto Sánchez United States 32 5.6k 1.4× 692 1.1× 695 1.2× 441 1.0× 254 0.7× 66 7.2k
Benjamin Webb United States 19 5.2k 1.3× 722 1.1× 608 1.0× 419 1.0× 384 1.1× 28 7.1k

Countries citing papers authored by Mona Singh

Since Specialization
Citations

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

Fields of papers citing papers by Mona Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Singh. A scholar is included among the top collaborators of Mona 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 Mona Singh. Mona Singh 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.
Dua, Ankita, Rashmi Kumari, Mona Singh, et al.. (2025). Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): the interplay of gut microbiome, insulin resistance, and diabetes. Frontiers in Medicine. 12. 1618275–1618275. 1 indexed citations
2.
Ghersi, Dario, et al.. (2025). Toward equitable major histocompatibility complex binding predictions. Proceedings of the National Academy of Sciences. 122(8). e2405106122–e2405106122.
3.
Yang, Liu, et al.. (2024). ERK synchronizes embryonic cleavages in Drosophila. Developmental Cell. 59(23). 3061–3071.e6. 2 indexed citations
4.
Kumari, Rashmi, Ankita Dua, Mona Singh, et al.. (2024). From Gut to Hormones: Unraveling the Role of Gut Microbiota in (Phyto)Estrogen Modulation in Health and Disease. Molecular Nutrition & Food Research. 68(6). e2300688–e2300688. 38 indexed citations
5.
Singh, Mona, et al.. (2024). The Mechanism and Inflammatory Markers Involved in the Potential Use of N-acetylcysteine in Chronic Pain Management. Life. 14(11). 1361–1361. 2 indexed citations
6.
Simpson, Danny, Purnima Ravisankar, Sabrina C. Solley, et al.. (2024). A benchmarked, high-efficiency prime editing platform for multiplexed dropout screening. Nature Methods. 22(1). 92–101. 11 indexed citations
7.
Singh, Mona, Manish Mishra, Manisha Yadav, et al.. (2021). Gene regulation of intracellular adhesion molecule-1 (ICAM-1): A molecule with multiple functions. Immunology Letters. 240. 123–136. 58 indexed citations
8.
Singh, Mona, et al.. (2021). Comparative genomic analysis reveals varying levels of mammalian adaptation to coronavirus infections. PLoS Computational Biology. 17(11). e1009560–e1009560. 2 indexed citations
9.
Munro, Daniel & Mona Singh. (2020). DeMaSk: a deep mutational scanning substitution matrix and its use for variant impact prediction. Bioinformatics. 36(22-23). 5322–5329. 30 indexed citations
10.
Singh, Mona, et al.. (2018). Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions. Nucleic Acids Research. 47(2). 582–593. 10 indexed citations
11.
Munro, Daniel, Dario Ghersi, & Mona Singh. (2018). Two critical positions in zinc finger domains are heavily mutated in three human cancer types. PLoS Computational Biology. 14(6). e1006290–e1006290. 31 indexed citations
12.
Ochoa, Alejandro & Mona Singh. (2017). Domain prediction with probabilistic directional context. Bioinformatics. 33(16). 2471–2478. 4 indexed citations
13.
Kumar, Satish, et al.. (2014). Estimation of heterosis in linseed (Linum usitatissimum L.).. INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES. 10(1). 356–359. 3 indexed citations
14.
Ranka, Sanjay, Tamer Kahveci, & Mona Singh. (2012). Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine. International Conference on Bioinformatics. 19 indexed citations
15.
Pane, Attilio, Peng Jiang, Dorothy Yanling Zhao, Mona Singh, & Trudi Schüpbach. (2011). The Cutoff protein regulates piRNA cluster expression and piRNA production in the Drosophila germline. The EMBO Journal. 30(22). 4601–4615. 94 indexed citations
16.
Kingsford, Carl, Elena Zaslavsky, & Mona Singh. (2011). A cost-aggregating integer linear program for motif finding. Journal of Discrete Algorithms. 9(4). 326–334. 2 indexed citations
17.
Song, Jimin & Mona Singh. (2009). How and when should interactome-derived clusters be used to predict functional modules and protein function?. Bioinformatics. 25(23). 3143–3150. 91 indexed citations
18.
Craig, Lisa, Ronald K. Taylor, Michael E. Pique, et al.. (2003). Type IV Pilin Structure and Assembly. Molecular Cell. 11(5). 1139–1150. 238 indexed citations
19.
Kharkwal, M. C., et al.. (2000). Recovery of desirable mutations in wheat.. Indian Journal of Genetics and Plant Breeding (The). 60(4). 465–470. 3 indexed citations
20.
Singh, Mona & M. S. Swaminathan. (1959). Monosomic Analysis in Bread Wheat. III. Identification of Chromosomes Carrying Genes for Resistance to Two Races of Yellow Rust in Cometa Klein. Indian Journal of Genetics and Plant Breeding (The). 19(2). 171–175. 3 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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