Kumar Rajakumar
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 17
- Enterobacteriaceae and Cronobacter Research 3
-
- Antibiotic Resistance in Bacteria 20
- Co-authors
- Hong‐Yu Ou (23 shared papers)Ben Adler (19 shared papers)Zixin Deng (15 shared papers)Cui Tai (9 shared papers)Dexi Bi (7 shared papers)Xinyi He (9 shared papers)Harry Sakellaris (10 shared papers)Chihiro Sasakawa (6 shared papers)
- Journals
- Journal of Bacteriology (6 papers)Infection and Immunity (6 papers)Antimicrobial Agents and Chemotherapy (5 papers)Nucleic Acids Research (5 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomChinaAustralia
In The Last Decade
Kumar Rajakumar
66 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 90
- Endocrinology 723
- Molecular Medicine 644
- Infectious Diseases 615
- Genetics 805
- Microbiology 132
Countries citing papers authored by Kumar Rajakumar
This map shows the geographic impact of Kumar Rajakumar'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 Kumar Rajakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Rajakumar more than expected).
Fields of papers citing papers by Kumar Rajakumar
This network shows the impact of papers produced by Kumar Rajakumar. 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 Kumar Rajakumar. The network helps show where Kumar Rajakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Rajakumar, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 358 | |
| 2 | 2014 | 316 | |
| 3 | 2010 | 224 | |
| 4 | 2011 | 188 | |
| 5 | 2012 | 154 | |
| 6 | 2015 | 146 | |
| 7 | 1997 | 131 | |
| 8 | 2000 | 106 | |
| 9 | 2001 | 106 | |
| 10 | 2012 | 97 | |
| 11 | 2006 | 93 | |
| 12 | 2006 | 92 | |
| 13 | 2001 | 71 | |
| 14 | 2010 | 70 | |
| 15 | 2007 | 68 | |
| 16 | 2010 | 66 | |
| 17 | 2012 | 66 | |
| 18 | 2010 | 63 | |
| 19 | 2007 | 62 | |
| 20 | 1994 | 61 |
About Kumar Rajakumar
Kumar Rajakumar is a scholar working on Endocrinology, Molecular Medicine, Genetics, Infectious Diseases and Microbiology, having authored 67 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (21 papers), Antibiotic Resistance in Bacteria (20 papers), Escherichia coli research studies (17 papers), Tuberculosis Research and Epidemiology (5 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Genomics and Phylogenetic Studies (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Endocrinology (723 citations), Molecular Medicine (644 citations), Infectious Diseases (615 citations), Genetics (805 citations) and Microbiology (132 citations). Kumar Rajakumar has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Hong‐Yu Ou, Ben Adler, Zixin Deng, Cui Tai, Dexi Bi, Xinyi He, Harry Sakellaris, Chihiro Sasakawa, Ewan M. Harrison and Shelley N. Luck. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Antimicrobial Agents and Chemotherapy, Nucleic Acids Research 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.