Ramkumar Iyer
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- Antibiotic Resistance in Bacteria 10
- Genetics 8
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Christopher Miller (2 shared papers)Andrew Camilli (2 shared papers)Anne H. Delcour (3 shared papers)Nitin S. Baliga (1 shared paper)Alessio Accardi (1 shared paper)T.M. Iverson (1 shared paper)Carole Williams (1 shared paper)Alita A. Miller (6 shared papers)
- Journals
- ACS Infectious Diseases (5 papers)Nature (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Research in Microbiology (2 papers)Journal of Bacteriology (2 papers)
- Partner nations
- United States
In The Last Decade
Ramkumar Iyer
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 71
- Molecular Medicine 285
- Genetics 433
- Endocrinology 56
- Microbiology 60
- Molecular Biology 352
Countries citing papers authored by Ramkumar Iyer
This map shows the geographic impact of Ramkumar Iyer'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 Ramkumar Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramkumar Iyer more than expected).
Fields of papers citing papers by Ramkumar Iyer
This network shows the impact of papers produced by Ramkumar Iyer. 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 Ramkumar Iyer. The network helps show where Ramkumar Iyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramkumar Iyer, 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 | 2002 | 197 | |
| 2 | 2005 | 161 | |
| 3 | 2003 | 146 | |
| 4 | 2021 | 116 | |
| 5 | 1997 | 102 | |
| 6 | 2007 | 85 | |
| 7 | 2017 | 74 | |
| 8 | 2004 | 56 | |
| 9 | 2018 | 48 | |
| 10 | 2018 | 42 | |
| 11 | 2023 | 40 | |
| 12 | 2015 | 39 | |
| 13 | 2017 | 35 | |
| 14 | 2003 | 26 | |
| 15 | 2015 | 16 | |
| 16 | 2018 | 12 | |
| 17 | 2018 | 2 |
About Ramkumar Iyer
Ramkumar Iyer is a scholar working on Molecular Medicine, Genetics, Oncology, Clinical Biochemistry and Epidemiology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Bacterial Genetics and Biotechnology (8 papers), Ion channel regulation and function (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Pneumonia and Respiratory Infections (2 papers), Bacterial Identification and Susceptibility Testing (1 paper) and Polyamine Metabolism and Applications (1 paper). The work is most often cited by research in Molecular Medicine (285 citations), Genetics (433 citations), Endocrinology (56 citations), Microbiology (60 citations) and Molecular Biology (352 citations). Ramkumar Iyer has collaborated with scholars based in United States. Frequent co-authors include Christopher Miller, Andrew Camilli, Anne H. Delcour, Nitin S. Baliga, Alessio Accardi, T.M. Iverson, Carole Williams, Alita A. Miller, Rubén Tommasi and Samir H. Moussa. Their work appears in journals such as ACS Infectious Diseases, Nature, Antimicrobial Agents and Chemotherapy, Research in Microbiology and Journal of Bacteriology.
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.