Michael T. Eby
Impact in
- Cancer Research top 1%
- NF-κB Signaling Pathways
- Immunology top 1%
- Immune Response and Inflammation
- interferon and immune responses
- Immune Cell Function and Interaction
Papers in
-
- NF-κB Signaling Pathways 9
- Immunology 10
- interferon and immune responses 5
- Immune Response and Inflammation 4
- Co-authors
- Preet M. Chaudhary (13 shared papers)Alan Jasmin (9 shared papers)Leroy Hood (6 shared papers)Vishva M. Dixit (4 shared papers)Karen M. O’Rourke (4 shared papers)Somasekar Seshagiri (5 shared papers)Ingrid E. Wertz (2 shared papers)Honglin Zhou (2 shared papers)
- Journals
- Blood (4 papers)Oncogene (4 papers)Journal of Biological Chemistry (4 papers)Nature (2 papers)Science (2 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Michael T. Eby
22 papers receiving 5.1k citations
Michael T. Eby's Hit Papers
Peers
Comparison fields: 5 of 107
- Cancer Research 1.8k
- Immunology 2.3k
- Oncology 1.2k
- Molecular Biology 3.0k
- Epidemiology 638
Countries citing papers authored by Michael T. Eby
This map shows the geographic impact of Michael T. Eby'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 Michael T. Eby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Eby more than expected).
Fields of papers citing papers by Michael T. Eby
This network shows the impact of papers produced by Michael T. Eby. 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 Michael T. Eby. The network helps show where Michael T. Eby may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael T. Eby, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | De-ubiquitination and ubiquitin ligase domains of A20 downregulate NF-κB signalling Hit paper breakdown → | 2004 | 1615 |
| 2 | 1997 | 628 | |
| 3 | 2003 | 445 | |
| 4 | 2007 | 395 | |
| 5 | 1999 | 263 | |
| 6 | 2009 | 256 | |
| 7 | 2000 | 215 | |
| 8 | 2002 | 209 | |
| 9 | 1998 | 194 | |
| 10 | 2006 | 192 | |
| 11 | 2001 | 149 | |
| 12 | 2003 | 144 | |
| 13 | 2002 | 133 | |
| 14 | 2006 | 120 | |
| 15 | 2000 | 106 | |
| 16 | 1999 | 50 | |
| 17 | 2002 | 29 | |
| 18 | 1998 | 28 | |
| 19 | 2006 | 25 | |
| 20 | 2001 | 23 |
About Michael T. Eby
Michael T. Eby is a scholar working on Cancer Research, Immunology, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 22 papers that have together received 5.2k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (9 papers), Cell death mechanisms and regulation (6 papers), interferon and immune responses (5 papers), Cancer-related Molecular Pathways (4 papers), Immune Response and Inflammation (4 papers), Cancer Mechanisms and Therapy (3 papers), Melanoma and MAPK Pathways (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (1.8k citations), Immunology (2.3k citations), Oncology (1.2k citations), Molecular Biology (3.0k citations) and Epidemiology (638 citations). Michael T. Eby has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Preet M. Chaudhary, Alan Jasmin, Leroy Hood, Vishva M. Dixit, Karen M. O’Rourke, Somasekar Seshagiri, Ingrid E. Wertz, Honglin Zhou, Arvind Kumar and Christian Wiesmann. Their work appears in journals such as Blood, Oncogene, Journal of Biological Chemistry, Nature and Science.
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.