Jayan Rammohan
Impact in
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- Bacterial Genetics and Biotechnology
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- Hedgehog Signaling Pathway Studies
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
Papers in
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- Gene Regulatory Network Analysis 3
- RNA and protein synthesis mechanisms 3
- Single-cell and spatial transcriptomics 2
- CRISPR and Genetic Engineering 2
- Epigenetics and DNA Methylation 1
- Genetics 3
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Sigrid Nachtergaele (1 shared paper)Rajat Rohatgi (1 shared paper)Douglas F. Covey (1 shared paper)Laurel K. Mydock (1 shared paper)Kathiresan Krishnan (1 shared paper)Paul H. Schlesinger (1 shared paper)Eric A. Galburt (5 shared papers)Christina L. Stallings (4 shared papers)
- Journals
- Nucleic Acids Research (3 papers)PLoS ONE (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Journal of Bacteriology (1 paper)Current Opinion in Systems Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Jayan Rammohan
10 papers receiving 445 citations
Peers
Comparison fields: 5 of 77
- Genetics 144
- Molecular Biology 342
- Infectious Diseases 42
- Molecular Medicine 10
- Structural Biology 3
Countries citing papers authored by Jayan Rammohan
This map shows the geographic impact of Jayan Rammohan'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 Jayan Rammohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayan Rammohan more than expected).
Fields of papers citing papers by Jayan Rammohan
This network shows the impact of papers produced by Jayan Rammohan. 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 Jayan Rammohan. The network helps show where Jayan Rammohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayan Rammohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 220 | |
| 2 | 2021 | 63 | |
| 3 | 2015 | 56 | |
| 4 | 2019 | 38 | |
| 5 | 2016 | 23 | |
| 6 | 2019 | 17 | |
| 7 | 2016 | 13 | |
| 8 | 2016 | 10 | |
| 9 | 2003 | 7 | |
| 10 | 2021 | 4 | |
| 11 | 2022 | 0 | |
| 12 | 2020 | 0 |
About Jayan Rammohan
Jayan Rammohan is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 12 papers that have together received 451 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Bacterial Genetics and Biotechnology (3 papers), RNA and protein synthesis mechanisms (3 papers), Tuberculosis Research and Epidemiology (2 papers), Single-cell and spatial transcriptomics (2 papers), CRISPR and Genetic Engineering (2 papers), Epigenetics and DNA Methylation (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Genetics (144 citations), Molecular Biology (342 citations), Infectious Diseases (42 citations), Molecular Medicine (10 citations) and Structural Biology (3 citations). Jayan Rammohan has collaborated with scholars based in United States. Frequent co-authors include Sigrid Nachtergaele, Rajat Rohatgi, Douglas F. Covey, Laurel K. Mydock, Kathiresan Krishnan, Paul H. Schlesinger, Eric A. Galburt, Christina L. Stallings, Ashley Garner and Bin Shao. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Frontiers in Bioengineering and Biotechnology, Journal of Bacteriology and Current Opinion in Systems 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.