Suneeta Chimalapati
- Epidemiology top 10%
- Molecular Biology
- Immunology
- Microbiology top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Jeremy BrownClaire DurmortThierry VernetKim OrthEmilie CamberleinGuy SchoehnMahdad NoursadeghiJonathan Cohen
- Topics
- Pneumonia and Respiratory Infections (12 papers)Vibrio bacteria research studies (7 papers)Bacterial Infections and Vaccines (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Suneeta Chimalapati
21 papers receiving 705 citations
Peers
Comparison fields: 5 of 80
- Epidemiology 281
- Molecular Biology 224
- Immunology 149
- Microbiology 144
- Public Health, Environmental and Occupational Health 130
Countries citing papers authored by Suneeta Chimalapati
This map shows the geographic impact of Suneeta Chimalapati'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 Suneeta Chimalapati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suneeta Chimalapati more than expected).
Fields of papers citing papers by Suneeta Chimalapati
This network shows the impact of papers produced by Suneeta Chimalapati. 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 Suneeta Chimalapati. The network helps show where Suneeta Chimalapati may publish in the future.
Co-authorship network of co-authors of Suneeta Chimalapati
This figure shows the co-authorship network connecting the top 25 collaborators of Suneeta Chimalapati. A scholar is included among the top collaborators of Suneeta Chimalapati based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suneeta Chimalapati. Suneeta Chimalapati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 16 | |
| 3 | 14 | |
| 4 | 0 | |
| 5 | 22 | |
| 6 | 13 | |
| 7 | 11 | |
| 8 | 87 | |
| 9 | 28 | |
| 10 | 14 | |
| 11 | 32 | |
| 12 | 28 | |
| 13 | 67 | |
| 14 | 52 | |
| 15 | 33 | |
| 16 | 17 | |
| 17 | 70 | |
| 18 | 1 | |
| 19 | 39 | |
| 20 | 107 |
About Suneeta Chimalapati
Suneeta Chimalapati is a scholar working on Endocrinology, Microbiology and Molecular Medicine, having authored 22 papers that have together received 711 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (12 papers), Vibrio bacteria research studies (7 papers) and Bacterial Infections and Vaccines (6 papers). The work is most often cited by research in Microbiology (144 citations), Endocrinology (97 citations) and Epidemiology (281 citations). Suneeta Chimalapati has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Jeremy Brown, Claire Durmort, Thierry Vernet, Kim Orth, Emilie Camberlein, Guy Schoehn, Mahdad Noursadeghi, Jonathan Cohen, Marcela de Souza Santos and Catherine Hyams. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.