Maya F. Kotturi
- Immunology top 5%
- Molecular Biology
- Infectious Diseases top 5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Alessandro SetteBjoern PetersJohn SidneyWilfred A. JefferiesCarla OseroffHoward M. GreyMichael J. BuchmeierSujan Shresta
- Topics
- Monoclonal and Polyclonal Antibodies Research (14 papers)Immune Cell Function and Interaction (13 papers)Immunotherapy and Immune Responses (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Maya F. Kotturi
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 82
- Immunology 724
- Molecular Biology 470
- Infectious Diseases 432
- Epidemiology 410
- Public Health, Environmental and Occupational Health 304
Countries citing papers authored by Maya F. Kotturi
This map shows the geographic impact of Maya F. Kotturi'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 Maya F. Kotturi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya F. Kotturi more than expected).
Fields of papers citing papers by Maya F. Kotturi
This network shows the impact of papers produced by Maya F. Kotturi. 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 Maya F. Kotturi. The network helps show where Maya F. Kotturi may publish in the future.
Co-authorship network of co-authors of Maya F. Kotturi
This figure shows the co-authorship network connecting the top 25 collaborators of Maya F. Kotturi. A scholar is included among the top collaborators of Maya F. Kotturi 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 Maya F. Kotturi. Maya F. Kotturi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | 125 | |
| 9 | 14 | |
| 10 | 42 | |
| 11 | 280 | |
| 12 | 35 | |
| 13 | 38 | |
| 14 | 159 | |
| 15 | 32 | |
| 16 | 4 | |
| 17 | 25 | |
| 18 | 43 | |
| 19 | 65 | |
| 20 | 89 |
About Maya F. Kotturi
Maya F. Kotturi is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Immune Cell Function and Interaction (13 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Immunology (724 citations), Infectious Diseases (432 citations) and Sensory Systems (86 citations). Maya F. Kotturi has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Alessandro Sette, Bjoern Peters, John Sidney, Wilfred A. Jefferies, Carla Oseroff, Howard M. Grey, Michael J. Buchmeier, Sujan Shresta, Raphaël M. Zellweger and Tyler R. Prestwood. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.