Timothy K. Eitas
Impact in
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Plant Pathogenic Bacteria Studies
- Plant Parasitism and Resistance
- Plant Virus Research Studies
- Legume Nitrogen Fixing Symbiosis
- Immunology top 10%
- Immune Response and Inflammation
- interferon and immune responses
Papers in
-
- interferon and immune responses 3
- Immune Response and Inflammation 3
- Immune Cell Function and Interaction 2
- Co-authors
- Jeffery L. Dangl (4 shared papers)Zhiyong Gao (2 shared papers)Eui‐Hwan Chung (2 shared papers)Zachary L. Nimchuk (1 shared paper)Jenny P.‐Y. Ting (3 shared papers)Reid A. Roberts (2 shared papers)Haitao Wen (2 shared papers)Albert Zimmermann (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Journal of Immunology (2 papers)Biomaterials (1 paper)Current Opinion in Plant Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Timothy K. Eitas
15 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Plant Science 638
- Immunology 358
- Rehabilitation 45
- Molecular Biology 426
- Biotechnology 48
Countries citing papers authored by Timothy K. Eitas
This map shows the geographic impact of Timothy K. Eitas'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 K. Eitas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy K. Eitas more than expected).
Fields of papers citing papers by Timothy K. Eitas
This network shows the impact of papers produced by Timothy K. Eitas. 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 K. Eitas. The network helps show where Timothy K. Eitas may publish in the future.
Co-authors
The 25 scholars most cited alongside Timothy K. Eitas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 269 | |
| 2 | 2010 | 265 | |
| 3 | 2011 | 148 | |
| 4 | 2008 | 99 | |
| 5 | 2017 | 98 | |
| 6 | 2016 | 76 | |
| 7 | 2006 | 75 | |
| 8 | 2015 | 47 | |
| 9 | 2013 | 44 | |
| 10 | 2023 | 32 | |
| 11 | 2017 | 19 | |
| 12 | 2017 | 17 | |
| 13 | 2024 | 15 | |
| 14 | 2018 | 1 | |
| 15 | 2021 | 1 |
About Timothy K. Eitas
Timothy K. Eitas is a scholar working on Immunology, Molecular Biology, Plant Science, Oncology and Epidemiology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (4 papers), Plant Pathogenic Bacteria Studies (4 papers), interferon and immune responses (3 papers), Plant Parasitism and Resistance (3 papers), Immune Response and Inflammation (3 papers), CAR-T cell therapy research (2 papers), Immune Cell Function and Interaction (2 papers) and Burn Injury Management and Outcomes (2 papers). The work is most often cited by research in Plant Science (638 citations), Immunology (358 citations), Rehabilitation (45 citations), Molecular Biology (426 citations) and Biotechnology (48 citations). Timothy K. Eitas has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Jeffery L. Dangl, Zhiyong Gao, Eui‐Hwan Chung, Zachary L. Nimchuk, Jenny P.‐Y. Ting, Reid A. Roberts, Haitao Wen, Albert Zimmermann, Lu Zhang and Beckley K. Davis. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Biomaterials, Current Opinion in Plant Biology 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.