Timothy J. Sellati
- Immunology top 1%
- Infectious Diseases top 1%
- Molecular Biology top 10%
- Parasitology top 0.5%
- Epidemiology top 5%
- Co-authors
- Justin D. RadolfDouglas T. GolenbockMartha B. FurieMeenakshi MalikEgil LienChandra Shekhar BakshiTrude Helen FloAtsutoshi Yoshimura
- Topics
- Vector-borne infectious diseases (16 papers)Bacillus and Francisella bacterial research (16 papers)Viral Infections and Vectors (9 papers)
- Cited by
- ParasitologyImmunologyMicrobiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Timothy J. Sellati
49 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 2.0k
- Infectious Diseases 1.2k
- Molecular Biology 1.2k
- Parasitology 778
- Epidemiology 663
Countries citing papers authored by Timothy J. Sellati
This map shows the geographic impact of Timothy J. Sellati'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 Timothy J. Sellati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy J. Sellati more than expected).
Fields of papers citing papers by Timothy J. Sellati
This network shows the impact of papers produced by Timothy J. Sellati. 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 Timothy J. Sellati. The network helps show where Timothy J. Sellati may publish in the future.
Co-authorship network of co-authors of Timothy J. Sellati
This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Sellati. A scholar is included among the top collaborators of Timothy J. Sellati 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 Timothy J. Sellati. Timothy J. Sellati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 41 | |
| 4 | 11 | |
| 5 | 33 | |
| 6 | 66 | |
| 7 | 110 | |
| 8 | 57 | |
| 9 | 47 | |
| 10 | 79 | |
| 11 | 64 | |
| 12 | 95 | |
| 13 | Natural killer T cells recognize diacylglycerol antigens from pathogenic bacteriabreakdown → | 496 |
| 14 | 45 | |
| 15 | 1 | |
| 16 | 121 | |
| 17 | 41 | |
| 18 | 360 | |
| 19 | Toll-like Receptor 2 Functions as a Pattern Recognition Receptor for Diverse Bacterial Productsbreakdown → | 777 |
| 20 | 166 |
About Timothy J. Sellati
Timothy J. Sellati is a scholar working on Parasitology, Microbiology and Immunology, having authored 49 papers that have together received 4.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (16 papers), Bacillus and Francisella bacterial research (16 papers) and Viral Infections and Vectors (9 papers). The work is most often cited by research in Parasitology (778 citations), Immunology (2.0k citations) and Microbiology (568 citations). Timothy J. Sellati has collaborated with scholars based in United States, India and France. Frequent co-authors include Justin D. Radolf, Douglas T. Golenbock, Martha B. Furie, Meenakshi Malik, Egil Lien, Chandra Shekhar Bakshi, Trude Helen Flo, Atsutoshi Yoshimura, Georges Rawadi and Robin R. Ingalls. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.