Rajeev Jha
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
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- Tuberculosis Research and Epidemiology
Papers in
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- Cancer therapeutics and mechanisms 6
- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 3
- DNA and Nucleic Acid Chemistry 3
- RNA and protein synthesis mechanisms 2
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- Tuberculosis Research and Epidemiology 5
- Co-authors
- David Levens (5 shared papers)Valakunja Nagaraja (9 shared papers)Fedor Kouzine (3 shared papers)Wareed Ahmed (2 shared papers)Stewart T. Cole (1 shared paper)Claudia Sala (1 shared paper)Subhendu Das (3 shared papers)Brian A. Lewis (2 shared papers)
- Journals
- Molecular Cell (2 papers)Journal of Molecular Biology (2 papers)Molecular Microbiology (1 paper)Scientific Reports (1 paper)PLoS Genetics (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Rajeev Jha
17 papers receiving 359 citations
Peers
Comparison fields: 5 of 70
- Molecular Medicine 35
- Infectious Diseases 79
- Molecular Biology 247
- Toxicology 12
- Epidemiology 63
Countries citing papers authored by Rajeev Jha
This map shows the geographic impact of Rajeev Jha'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 Rajeev Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajeev Jha more than expected).
Fields of papers citing papers by Rajeev Jha
This network shows the impact of papers produced by Rajeev Jha. 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 Rajeev Jha. The network helps show where Rajeev Jha may publish in the future.
Co-authors
The 25 scholars most cited alongside Rajeev Jha, 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 | 2021 | 56 | |
| 2 | 2017 | 55 | |
| 3 | 2017 | 46 | |
| 4 | 2023 | 34 | |
| 5 | 2021 | 28 | |
| 6 | 2022 | 27 | |
| 7 | 2019 | 20 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2005 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2018 | 4 |
About Rajeev Jha
Rajeev Jha is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Molecular Medicine and Ecology, having authored 17 papers that have together received 365 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (6 papers), Tuberculosis Research and Epidemiology (5 papers), Antibiotic Resistance in Bacteria (4 papers), Mycobacterium research and diagnosis (4 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (35 citations), Infectious Diseases (79 citations), Molecular Biology (247 citations), Toxicology (12 citations) and Epidemiology (63 citations). Rajeev Jha has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include David Levens, Valakunja Nagaraja, Fedor Kouzine, Wareed Ahmed, Stewart T. Cole, Claudia Sala, Subhendu Das, Brian A. Lewis, Amit Singh and Kushi Anand. Their work appears in journals such as Molecular Cell, Journal of Molecular Biology, Molecular Microbiology, Scientific Reports and PLoS Genetics.
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.