Kevin H. Mayo
- Immunology top 0.5%
- Galectins and Cancer Biology 62
- Immunology and Allergy top 1%
- Molecular Biology top 0.5%
- Glycosylation and Glycoproteins Research 60
- Protein Structure and Dynamics 33
- Chemical Synthesis and Analysis 29
- Angiogenesis and VEGF in Cancer 23
- Signaling Pathways in Disease 23
- Microbiology top 1%
- Oncology top 2%
-
- Polysaccharides and Plant Cell Walls 23
-
- Monoclonal and Polyclonal Antibodies Research 21
- Co-authors
- Arjan W. GriffioenRuud P.M. DingsVladimir A. DaraganMichelle C. MillerIrina V. NesmelovaAlison GoateDaisy W.J. van der SchaftElena Ilyina
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of the American Chemical Society (2 papers)Journal of Biological Chemistry (17 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Kevin H. Mayo
276 papers receiving 10.4k citations
Peers
Comparison fields: 5 of 159
- Immunology 3.1k
- Immunology and Allergy 570
- Molecular Biology 6.0k
- Microbiology 435
- Oncology 1.7k
Countries citing papers authored by Kevin H. Mayo
This map shows the geographic impact of Kevin H. Mayo'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 Kevin H. Mayo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin H. Mayo more than expected).
Fields of papers citing papers by Kevin H. Mayo
This network shows the impact of papers produced by Kevin H. Mayo. 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 Kevin H. Mayo. The network helps show where Kevin H. Mayo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin H. Mayo, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 12 | |
| 11 | 2021 | 39 | |
| 12 | 2013 | 8 | |
| 13 | 2011 | 59 | |
| 14 | 2011 | 45 | |
| 15 | 2008 | 62 | |
| 16 | 2006 | 129 | |
| 17 | 1999 | 8 | |
| 18 | A folding pathway for βpep-4 peptide 33mer | 1998 | 1 |
| 19 | 1997 | 4 | |
| 20 | 1991 | 26 |
About Kevin H. Mayo
Kevin H. Mayo is a scholar working on Immunology, Immunology and Allergy and Molecular Biology, having authored 283 papers that have together received 10.5k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (62 papers), Glycosylation and Glycoproteins Research (60 papers), Protein Structure and Dynamics (33 papers), Chemical Synthesis and Analysis (29 papers), Angiogenesis and VEGF in Cancer (23 papers), Polysaccharides and Plant Cell Walls (23 papers), Signaling Pathways in Disease (23 papers) and Monoclonal and Polyclonal Antibodies Research (21 papers). The work is most often cited by research in Immunology (3.1k citations), Immunology and Allergy (570 citations) and Molecular Biology (6.0k citations). Kevin H. Mayo has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Arjan W. Griffioen, Ruud P.M. Dings, Vladimir A. Daragan, Michelle C. Miller, Irina V. Nesmelova, Alison Goate, Daisy W.J. van der Schaft, Elena Ilyina, John C. Morris and Judith R. Haseman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.