Premkumar Dinadayala
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Endocrinology top 5%
- Escherichia coli research studies
Papers in ⓘ
-
- Tuberculosis Research and Epidemiology 9
- Viral gastroenteritis research and epidemiology 2
- Epidemiology 10
- Mycobacterium research and diagnosis 9
- Co-authors
- Anne Lemassu (4 shared papers)Mamadou Daffé (4 shared papers)Tounkang Sambou (2 shared papers)Dean C. Crick (3 shared papers)Mary Jackson (2 shared papers)Brigitte Gicquel (2 shared papers)Patrick J. Brennan (2 shared papers)Stefan Berg (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular Microbiology (2 papers)BMC Microbiology (1 paper)Journal of Bacteriology (1 paper)Microbiology (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Premkumar Dinadayala
14 papers receiving 671 citations
Peers
Comparison fields: 5 of 61
- Infectious Diseases 350
- Endocrinology 71
- Molecular Medicine 55
- Epidemiology 308
- Biotechnology 69
Countries citing papers authored by Premkumar Dinadayala
This map shows the geographic impact of Premkumar Dinadayala'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 Premkumar Dinadayala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Premkumar Dinadayala more than expected).
Fields of papers citing papers by Premkumar Dinadayala
This network shows the impact of papers produced by Premkumar Dinadayala. 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 Premkumar Dinadayala. The network helps show where Premkumar Dinadayala may publish in the future.
Co-authors
The 25 scholars most cited alongside Premkumar Dinadayala, 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 | 119 | |
| 2 | 2006 | 78 | |
| 3 | 2003 | 75 | |
| 4 | 2005 | 68 | |
| 5 | 2006 | 60 | |
| 6 | 2004 | 58 | |
| 7 | 2003 | 44 | |
| 8 | 2008 | 43 | |
| 9 | 2014 | 39 | |
| 10 | 2011 | 32 | |
| 11 | 2010 | 22 | |
| 12 | 2019 | 19 | |
| 13 | 2002 | 18 | |
| 14 | 2020 | 4 |
About Premkumar Dinadayala
Premkumar Dinadayala is a scholar working on Infectious Diseases, Epidemiology, Organic Chemistry, Molecular Biology and Surgery, having authored 14 papers that have together received 679 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (9 papers), Carbohydrate Chemistry and Synthesis (3 papers), Biochemical and Molecular Research (2 papers), Escherichia coli research studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Probiotics and Fermented Foods (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (350 citations), Endocrinology (71 citations), Molecular Medicine (55 citations), Epidemiology (308 citations) and Biotechnology (69 citations). Premkumar Dinadayala has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Anne Lemassu, Mamadou Daffé, Tounkang Sambou, Dean C. Crick, Mary Jackson, Brigitte Gicquel, Patrick J. Brennan, Stefan Berg, Davinder Kaur and Varalakshmi Vissa. Their work appears in journals such as Journal of Biological Chemistry, Molecular Microbiology, BMC Microbiology, Journal of Bacteriology and Microbiology.
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.