Jatin Narula
Impact in
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- Bacterial Genetics and Biotechnology
- Evolution and Genetic Dynamics
-
- Gene Regulatory Network Analysis
- Bacterial biofilms and quorum sensing
- Single-cell and spatial transcriptomics
Papers in
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- Gene Regulatory Network Analysis 8
- Genomics and Chromatin Dynamics 3
- Single-cell and spatial transcriptomics 2
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Hemoglobinopathies and Related Disorders 2
- Co-authors
- Oleg A. Igoshin (10 shared papers)Masaya Fujita (5 shared papers)Abhinav Tiwari (4 shared papers)Gürol M. Süel (2 shared papers)Anna Kuchina (2 shared papers)J. Christian J. Ray (1 shared paper)Aileen M. Smith (1 shared paper)Berthold Göttgens (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)CPT Pharmacometrics & Systems Pharmacology (2 papers)Blood (1 paper)Molecular Microbiology (1 paper)Clinical Pharmacology & Therapeutics (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Jatin Narula
20 papers receiving 434 citations
Peers
Comparison fields: 5 of 80
- Genetics 174
- Molecular Biology 309
- Ecology 77
- Biophysics 16
- Endocrinology 12
Countries citing papers authored by Jatin Narula
This map shows the geographic impact of Jatin Narula'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 Jatin Narula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jatin Narula more than expected).
Fields of papers citing papers by Jatin Narula
This network shows the impact of papers produced by Jatin Narula. 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 Jatin Narula. The network helps show where Jatin Narula may publish in the future.
Co-authors
The 25 scholars most cited alongside Jatin Narula, 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 | 2015 | 56 | |
| 2 | 2012 | 51 | |
| 3 | 2011 | 49 | |
| 4 | 2010 | 45 | |
| 5 | 2021 | 36 | |
| 6 | 2013 | 34 | |
| 7 | 2016 | 32 | |
| 8 | 2010 | 30 | |
| 9 | 2018 | 23 | |
| 10 | 2016 | 19 | |
| 11 | 2013 | 17 | |
| 12 | 1997 | 14 | |
| 13 | 2010 | 14 | |
| 14 | 2016 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 1995 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2019 | 1 |
About Jatin Narula
Jatin Narula is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 447 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (3 papers), Genomics and Chromatin Dynamics (3 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Single-cell and spatial transcriptomics (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Genetics (174 citations), Molecular Biology (309 citations), Ecology (77 citations), Biophysics (16 citations) and Endocrinology (12 citations). Jatin Narula has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Oleg A. Igoshin, Masaya Fujita, Abhinav Tiwari, Gürol M. Süel, Anna Kuchina, J. Christian J. Ray, Aileen M. Smith, Berthold Göttgens, Axel Kleidon and Marc Stieglitz. Their work appears in journals such as PLoS Computational Biology, CPT Pharmacometrics & Systems Pharmacology, Blood, Molecular Microbiology and Clinical Pharmacology & Therapeutics.
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.