Ranjit Kumar Deka
Impact in
- Microbiology top 2%
- Reproductive tract infections research
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
- Physiology 23
- Syphilis Diagnosis and Treatment 23
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- Reproductive tract infections research 5
- Co-authors
- Michael V. Norgard (34 shared papers)Chad A. Brautigam (26 shared papers)Justin D. Radolf (5 shared papers)Diana R. Tomchick (13 shared papers)Zhiming Ouyang (5 shared papers)Charles A. Hasemann (3 shared papers)Yong‐Hwan Lee (3 shared papers)Mischa Machius (6 shared papers)
- Journals
- Protein Science (6 papers)Journal of Biological Chemistry (6 papers)Journal of Bacteriology (4 papers)Journal of Molecular Biology (4 papers)mBio (3 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Ranjit Kumar Deka
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Microbiology 251
- Parasitology 183
- Physiology 458
- Virology 65
- Nutrition and Dietetics 178
Countries citing papers authored by Ranjit Kumar Deka
This map shows the geographic impact of Ranjit Kumar Deka'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 Ranjit Kumar Deka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjit Kumar Deka more than expected).
Fields of papers citing papers by Ranjit Kumar Deka
This network shows the impact of papers produced by Ranjit Kumar Deka. 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 Ranjit Kumar Deka. The network helps show where Ranjit Kumar Deka may publish in the future.
Co-authors
The 25 scholars most cited alongside Ranjit Kumar Deka, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 219 | |
| 2 | 1999 | 139 | |
| 3 | 2011 | 102 | |
| 4 | 1992 | 90 | |
| 5 | 2002 | 78 | |
| 6 | 1991 | 60 | |
| 7 | 2006 | 58 | |
| 8 | 2002 | 52 | |
| 9 | 1996 | 48 | |
| 10 | 2013 | 44 | |
| 11 | 2006 | 43 | |
| 12 | 1992 | 37 | |
| 13 | 2007 | 36 | |
| 14 | 2004 | 36 | |
| 15 | 1993 | 34 | |
| 16 | 2010 | 34 | |
| 17 | 2012 | 30 | |
| 18 | 2015 | 29 | |
| 19 | 1999 | 29 | |
| 20 | 2014 | 28 |
About Ranjit Kumar Deka
Ranjit Kumar Deka is a scholar working on Physiology, Microbiology, Parasitology, Virology and Nutrition and Dietetics, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Syphilis Diagnosis and Treatment (23 papers), Enzyme Structure and Function (7 papers), Trace Elements in Health (7 papers), Porphyrin Metabolism and Disorders (6 papers), Vector-borne infectious diseases (6 papers), HIV Research and Treatment (5 papers), Reproductive tract infections research (5 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Microbiology (251 citations), Parasitology (183 citations), Physiology (458 citations), Virology (65 citations) and Nutrition and Dietetics (178 citations). Ranjit Kumar Deka has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Michael V. Norgard, Chad A. Brautigam, Justin D. Radolf, Diana R. Tomchick, Zhiming Ouyang, Charles A. Hasemann, Yong‐Hwan Lee, Mischa Machius, Arvind Anand and David Šmajs. Their work appears in journals such as Protein Science, Journal of Biological Chemistry, Journal of Bacteriology, Journal of Molecular Biology and mBio.
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.