Ivan Tattoli
Impact in
- Immunology top 2%
- Immune Response and Inflammation
- interferon and immune responses
- Immune Cell Function and Interaction
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
- Immunology 19
- Immune Response and Inflammation 14
- interferon and immune responses 9
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- Gut microbiota and health 6
- Inflammasome and immune disorders 5
- Co-authors
- Stephen E. Girardin (28 shared papers)Dana J. Philpott (22 shared papers)Damien Arnoult (6 shared papers)Fraser Soares (8 shared papers)Letícia A. M. Carneiro (7 shared papers)João G. Magalhães (4 shared papers)Matthew T. Sorbara (5 shared papers)Leonardo H. Travassos (3 shared papers)
In The Last Decade
Ivan Tattoli
42 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 108
- Immunology 1.5k
- Endocrinology 327
- Microbiology 139
- Molecular Biology 1.5k
- Epidemiology 641
Countries citing papers authored by Ivan Tattoli
This map shows the geographic impact of Ivan Tattoli'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 Ivan Tattoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Tattoli more than expected).
Fields of papers citing papers by Ivan Tattoli
This network shows the impact of papers produced by Ivan Tattoli. 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 Ivan Tattoli. The network helps show where Ivan Tattoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Tattoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 300 | |
| 2 | 2008 | 263 | |
| 3 | 2011 | 204 | |
| 4 | 2009 | 170 | |
| 5 | 2009 | 164 | |
| 6 | 2007 | 160 | |
| 7 | 2007 | 148 | |
| 8 | 2009 | 123 | |
| 9 | 2021 | 119 | |
| 10 | 2010 | 113 | |
| 11 | 2013 | 104 | |
| 12 | 2007 | 97 | |
| 13 | 2018 | 94 | |
| 14 | 2009 | 89 | |
| 15 | 2014 | 89 | |
| 16 | 2017 | 80 | |
| 17 | 2012 | 70 | |
| 18 | 2008 | 68 | |
| 19 | 2013 | 65 | |
| 20 | 2021 | 63 |
About Ivan Tattoli
Ivan Tattoli is a scholar working on Immunology, Molecular Biology, Epidemiology, Endocrinology and Surgery, having authored 45 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (14 papers), interferon and immune responses (9 papers), Gut microbiota and health (6 papers), Escherichia coli research studies (5 papers), Inflammasome and immune disorders (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), NF-κB Signaling Pathways (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Immunology (1.5k citations), Endocrinology (327 citations), Microbiology (139 citations), Molecular Biology (1.5k citations) and Epidemiology (641 citations). Ivan Tattoli has collaborated with scholars based in Canada, Italy and France. Frequent co-authors include Stephen E. Girardin, Dana J. Philpott, Damien Arnoult, Fraser Soares, Letícia A. M. Carneiro, João G. Magalhães, Matthew T. Sorbara, Leonardo H. Travassos, Jing Yang and Arthur R. Ling. Their work appears in journals such as Journal of Biological Chemistry, Cell Reports, Cell Host & Microbe, EMBO Reports and Neurogastroenterology & Motility.
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.