Mona Singh
Impact in
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Microbial Metabolic Engineering and Bioproduction
-
- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 24
- RNA and protein synthesis mechanisms 19
- Protein Structure and Dynamics 18
- Genomics and Chromatin Dynamics 14
- Genomics and Phylogenetic Studies 11
- Machine Learning in Bioinformatics 7
- RNA Research and Splicing 6
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- Plant Disease Resistance and Genetics 6
- Co-authors
- John A. Capra (5 shared papers)Bernard Chazelle (8 shared papers)Anton V. Persikov (6 shared papers)Peter S. Kim (5 shared papers)Peng Jiang (4 shared papers)Elena Nabieva (3 shared papers)Bonnie Berger (5 shared papers)Vladimir N. Malashkevich (2 shared papers)
- Journals
- Bioinformatics (16 papers)PLoS Computational Biology (10 papers)Nucleic Acids Research (7 papers)Proceedings of the National Academy of Sciences (7 papers)Genome biology (4 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Mona Singh
132 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 165
- Molecular Biology 4.1k
- Computational Theory and Mathematics 601
- Virology 122
- Genetics 607
- Infectious Diseases 345
Countries citing papers authored by Mona Singh
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
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-authors
The 25 scholars most cited alongside Mona Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 535 | |
| 2 | 2005 | 373 | |
| 3 | 2009 | 349 | |
| 4 | 2003 | 253 | |
| 5 | 2000 | 248 | |
| 6 | 2010 | 212 | |
| 7 | 2010 | 200 | |
| 8 | 2021 | 191 | |
| 9 | 2010 | 180 | |
| 10 | 2004 | 169 | |
| 11 | 2002 | 154 | |
| 12 | 2013 | 153 | |
| 13 | 2009 | 134 | |
| 14 | 1999 | 132 | |
| 15 | 2019 | 103 | |
| 16 | 2008 | 97 | |
| 17 | 2011 | 95 | |
| 18 | 2008 | 95 | |
| 19 | 2004 | 95 | |
| 20 | 2009 | 92 |
About Mona Singh
Mona Singh is a scholar working on Molecular Biology, Plant Science, Cancer Research, Immunology and Virology, having authored 135 papers that have together received 6.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (24 papers), RNA and protein synthesis mechanisms (19 papers), Protein Structure and Dynamics (18 papers), Genomics and Chromatin Dynamics (14 papers), Genomics and Phylogenetic Studies (11 papers), Machine Learning in Bioinformatics (7 papers), Plant Disease Resistance and Genetics (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Computational Theory and Mathematics (601 citations), Virology (122 citations), Genetics (607 citations) and Infectious Diseases (345 citations). Mona Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include John A. Capra, Bernard Chazelle, Anton V. Persikov, Peter S. Kim, Peng Jiang, Elena Nabieva, Bonnie Berger, Vladimir N. Malashkevich, Kam Jim and Amit Agarwal. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, Nucleic Acids Research, Proceedings of the National Academy of Sciences and Genome biology.
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.