Rajeev Misra
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.5%
- Escherichia coli research studies
Papers in
- Genetics 59
- Bacterial Genetics and Biotechnology 56
-
- RNA and protein synthesis mechanisms 34
- Protein Structure and Dynamics 5
- Co-authors
- John C. Werner (4 shared papers)S A Benson (4 shared papers)Henri Gerken (7 shared papers)George H. Perry (1 shared paper)Nathaniel J. Dominy (1 shared paper)Emily S. Charlson (4 shared papers)Charles Lee (1 shared paper)Joanna L. Mountain (1 shared paper)
- Journals
- Journal of Bacteriology (31 papers)Molecular Microbiology (14 papers)mBio (2 papers)Journal of Molecular Biology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Rajeev Misra
74 papers receiving 4.8k citations
Rajeev Misra's Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Medicine 780
- Endocrinology 659
- Genetics 2.7k
- Molecular Biology 2.4k
- Microbiology 208
Countries citing papers authored by Rajeev Misra
This map shows the geographic impact of Rajeev Misra'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 Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajeev Misra more than expected).
Fields of papers citing papers by Rajeev Misra
This network shows the impact of papers produced by Rajeev Misra. 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 Misra. The network helps show where Rajeev Misra may publish in the future.
Co-authors
The 25 scholars most cited alongside Rajeev Misra, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diet and the evolution of human amylase gene copy number variation Hit paper breakdown → | 2007 | 1049 |
| 2 | 2002 | 370 | |
| 3 | 2006 | 265 | |
| 4 | 1989 | 224 | |
| 5 | 2000 | 169 | |
| 6 | 2005 | 148 | |
| 7 | 2008 | 145 | |
| 8 | 2016 | 125 | |
| 9 | 2010 | 112 | |
| 10 | 2006 | 104 | |
| 11 | 1987 | 91 | |
| 12 | 2007 | 89 | |
| 13 | 1988 | 88 | |
| 14 | 2001 | 86 | |
| 15 | 1998 | 85 | |
| 16 | 2009 | 82 | |
| 17 | 2009 | 74 | |
| 18 | 1991 | 72 | |
| 19 | 1988 | 71 | |
| 20 | 2000 | 69 |
About Rajeev Misra
Rajeev Misra is a scholar working on Genetics, Molecular Biology, Endocrinology, Ecology and Molecular Medicine, having authored 75 papers that have together received 4.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (56 papers), RNA and protein synthesis mechanisms (34 papers), Escherichia coli research studies (15 papers), Bacteriophages and microbial interactions (15 papers), Antibiotic Resistance in Bacteria (11 papers), Enzyme Structure and Function (7 papers), Cellular transport and secretion (6 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Molecular Medicine (780 citations), Endocrinology (659 citations), Genetics (2.7k citations), Molecular Biology (2.4k citations) and Microbiology (208 citations). Rajeev Misra has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include John C. Werner, S A Benson, Henri Gerken, George H. Perry, Nathaniel J. Dominy, Emily S. Charlson, Charles Lee, Joanna L. Mountain, Richard Redon and Arthur S. Lee. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, mBio, Journal of Molecular Biology and PLoS ONE.
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.