Sina Bavari
- Infectious Diseases top 0.05%
- Molecular Biology top 2%
- Epidemiology top 0.5%
- Immunology top 1%
- Public Health, Environmental and Occupational Health top 1%
- Co-authors
- Kelly L. WarfieldM. Javad AmanGordon RuthelRekha G. PanchalDana L. SwensonTravis K. WarrenAlan SchmaljohnJens H. Kuhn
- Topics
- Viral Infections and Outbreaks Research (157 papers)Viral Infections and Vectors (109 papers)Viral gastroenteritis research and epidemiology (56 papers)
- Partner nations
- United StatesSerbiaGermany
In The Last Decade
Sina Bavari
290 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Infectious Diseases 7.6k
- Molecular Biology 3.8k
- Epidemiology 3.2k
- Immunology 2.3k
- Public Health, Environmental and Occupational Health 1.3k
Countries citing papers authored by Sina Bavari
This map shows the geographic impact of Sina Bavari'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 Sina Bavari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sina Bavari more than expected).
Fields of papers citing papers by Sina Bavari
This network shows the impact of papers produced by Sina Bavari. 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 Sina Bavari. The network helps show where Sina Bavari may publish in the future.
Co-authorship network of co-authors of Sina Bavari
This figure shows the co-authorship network connecting the top 25 collaborators of Sina Bavari. A scholar is included among the top collaborators of Sina Bavari 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 Sina Bavari. Sina Bavari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 50 | |
| 3 | 19 | |
| 4 | 22 | |
| 5 | 24 | |
| 6 | 71 | |
| 7 | 330 | |
| 8 | 33 | |
| 9 | 18 | |
| 10 | 27 | |
| 11 | 9 | |
| 12 | 60 | |
| 13 | 59 | |
| 14 | 71 | |
| 15 | The rapidly advancing field of biodefense benefits many other, critical public health concerns. | 1 |
| 16 | 119 | |
| 17 | 104 | |
| 18 | 113 | |
| 19 | 229 | |
| 20 | Cross-Reactive Antibodies Prevent the Lethal Effects of Staphylococcus Aureus Superantigens | 3 |
About Sina Bavari
Sina Bavari is a scholar working on Infectious Diseases, Emergency Medical Services and Virology, having authored 292 papers that have together received 13.6k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (157 papers), Viral Infections and Vectors (109 papers) and Viral gastroenteritis research and epidemiology (56 papers). The work is most often cited by research in Infectious Diseases (7.6k citations), Virology (823 citations) and Emergency Medical Services (874 citations). Sina Bavari has collaborated with scholars based in United States, Serbia and Germany. Frequent co-authors include Kelly L. Warfield, M. Javad Aman, Gordon Ruthel, Rekha G. Panchal, Dana L. Swenson, Travis K. Warren, Alan Schmaljohn, Jens H. Kuhn, Robert G. Ulrich and Catharine M. Bosio. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.