Yadunanda Kumar
Impact in
- Microbiology top 0.5%
- Reproductive tract infections research
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Heat shock proteins research 3
-
- Reproductive tract infections research 4
- Co-authors
- Raphael H. Valdivia (7 shared papers)Jordan L. Cocchiaro (2 shared papers)Utpal Tatu (7 shared papers)Elizabeth R. Fischer (1 shared paper)Ted Hackstadt (1 shared paper)Steven R. Tannenbaum (4 shared papers)Cui Liang (3 shared papers)Kris Spaeth (1 shared paper)
- Journals
- PROTEOMICS (2 papers)PLoS neglected tropical diseases (2 papers)Cell Host & Microbe (2 papers)Molecular Microbiology (2 papers)Cell Stress and Chaperones (1 paper)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Yadunanda Kumar
19 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Microbiology 466
- Endocrinology 127
- Biochemistry 119
- Parasitology 84
- Immunology 245
Countries citing papers authored by Yadunanda Kumar
This map shows the geographic impact of Yadunanda Kumar'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 Yadunanda Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yadunanda Kumar more than expected).
Fields of papers citing papers by Yadunanda Kumar
This network shows the impact of papers produced by Yadunanda Kumar. 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 Yadunanda Kumar. The network helps show where Yadunanda Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Yadunanda Kumar, 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 | 2008 | 258 | |
| 2 | 2006 | 183 | |
| 3 | 2008 | 172 | |
| 4 | 2011 | 148 | |
| 5 | 2009 | 132 | |
| 6 | 2006 | 93 | |
| 7 | 2012 | 87 | |
| 8 | 2016 | 83 | |
| 9 | Proteomic analysis of urinary protein markers for accurate prediction of diabetic kidney disorder. | 2005 | 76 |
| 10 | 2003 | 53 | |
| 11 | 2003 | 41 | |
| 12 | 2004 | 29 | |
| 13 | 2014 | 29 | |
| 14 | 2008 | 15 | |
| 15 | 2013 | 11 | |
| 16 | 2000 | 6 | |
| 17 | Heat shock protein 70 as a biomarker of heat stress in a simulated hot cockpit. | 2003 | 5 |
| 18 | 2023 | 4 | |
| 19 | 2002 | 3 |
About Yadunanda Kumar
Yadunanda Kumar is a scholar working on Molecular Biology, Microbiology, Ecology, Evolution, Behavior and Systematics, Plant Science and Epidemiology, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive tract infections research (4 papers), Heat shock proteins research (3 papers), Plant and fungal interactions (2 papers), Mosquito-borne diseases and control (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Brain Tumor Detection and Classification (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Microbiology (466 citations), Endocrinology (127 citations), Biochemistry (119 citations), Parasitology (84 citations) and Immunology (245 citations). Yadunanda Kumar has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Raphael H. Valdivia, Jordan L. Cocchiaro, Utpal Tatu, Elizabeth R. Fischer, Ted Hackstadt, Steven R. Tannenbaum, Cui Liang, Kris Spaeth, Héctor A. Saka and M. Arthur Moseley. Their work appears in journals such as PROTEOMICS, PLoS neglected tropical diseases, Cell Host & Microbe, Molecular Microbiology and Cell Stress and Chaperones.
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.