Jeffrey A. Yoder
- Immunology top 1%
- Immune Cell Function and Interaction 35
- Aquaculture disease management and microbiota 31
- T-cell and B-cell Immunology 24
- Invertebrate Immune Response Mechanisms 10
- Immune Response and Inflammation 8
- interferon and immune responses 7
- Molecular Biology top 2%
- Epigenetics and DNA Methylation 11
- Genetics top 2%
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications 16
- Cancer Research top 5%
- Co-authors
- Timothy H. BestorColum P. WalshGary W. LitmanKent G. GolicChih-Lin HsiehKeith A. MaggertSteven E. JacobsenFinn Kirpekar
- Cited by
- ImmunologyMolecular BiologyGenetics
- Journals
- Immunogenetics (16 papers)Proceedings of the National Academy of Sciences (5 papers)Development (4 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Jeffrey A. Yoder
96 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Immunology 1.6k
- Molecular Biology 3.8k
- Genetics 1.1k
- Cell Biology 473
- Cancer Research 392
Countries citing papers authored by Jeffrey A. Yoder
This map shows the geographic impact of Jeffrey A. Yoder'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 Jeffrey A. Yoder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey A. Yoder more than expected).
Fields of papers citing papers by Jeffrey A. Yoder
This network shows the impact of papers produced by Jeffrey A. Yoder. 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 Jeffrey A. Yoder. The network helps show where Jeffrey A. Yoder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey A. Yoder, 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 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 4 | |
| 9 | 2017 | 41 | |
| 10 | 2012 | 25 | |
| 11 | 2010 | 106 | |
| 12 | 2008 | 0 | |
| 13 | 2007 | 324 | |
| 14 | 2007 | 4 | |
| 15 | Methylation of tRNA Asp by the DNA Methyltransferase Homolog Dnmt2breakdown → | 2006 | 800 |
| 16 | 2006 | 20 | |
| 17 | 2004 | 79 | |
| 18 | 2003 | 219 | |
| 19 | 2002 | 12 | |
| 20 | 1996 | 1 |
About Jeffrey A. Yoder
Jeffrey A. Yoder is a scholar working on Immunology, Cell Biology and Immunology and Allergy, having authored 98 papers that have together received 6.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (35 papers), Aquaculture disease management and microbiota (31 papers), T-cell and B-cell Immunology (24 papers), Zebrafish Biomedical Research Applications (16 papers), Epigenetics and DNA Methylation (11 papers), Invertebrate Immune Response Mechanisms (10 papers), Immune Response and Inflammation (8 papers) and interferon and immune responses (7 papers). The work is most often cited by research in Immunology (1.6k citations), Molecular Biology (3.8k citations) and Genetics (1.1k citations). Jeffrey A. Yoder has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Timothy H. Bestor, Colum P. Walsh, Gary W. Litman, Kent G. Golic, Chih-Lin Hsieh, Keith A. Maggert, Steven E. Jacobsen, Finn Kirpekar, Mary Goll and Xiaoyu Zhang. Their work appears in journals such as Immunogenetics, Proceedings of the National Academy of Sciences, Development, The Journal of Immunology and PLoS ONE.
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.