Damon May
Impact in
- Neurology top 2%
- Long-Term Effects of COVID-19
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
- Spectroscopy 17
- Advanced Proteomics Techniques and Applications 17
- Mass Spectrometry Techniques and Applications 9
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- Metabolomics and Mass Spectrometry Studies 12
- Genomics and Phylogenetic Studies 4
- Glycosylation and Glycoproteins Research 3
- Machine Learning in Bioinformatics 2
- Co-authors
- Martin W. McIntosh (17 shared papers)William Stafford Noble (8 shared papers)Ru Chen (9 shared papers)Sheng Pan (9 shared papers)Teresa A. Brentnall (8 shared papers)Jimmy K. Eng (3 shared papers)David A. Crispin (5 shared papers)David Robinson Goodlett (3 shared papers)
- Journals
- Journal of Proteome Research (10 papers)Molecular & Cellular Proteomics (2 papers)The ISME Journal (2 papers)Frontiers in Immunology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Damon May
35 papers receiving 2.3k citations
Damon May's Hit Papers
Peers
Comparison fields: 5 of 125
- Neurology 556
- Spectroscopy 632
- Infectious Diseases 335
- Critical Care and Intensive Care Medicine 75
- Molecular Biology 1.1k
Countries citing papers authored by Damon May
This map shows the geographic impact of Damon May'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 Damon May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damon May more than expected).
Fields of papers citing papers by Damon May
This network shows the impact of papers produced by Damon May. 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 Damon May. The network helps show where Damon May may publish in the future.
Co-authors
The 25 scholars most cited alongside Damon May, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiple early factors anticipate post-acute COVID-19 sequelae Hit paper breakdown → | 2022 | 817 |
| 2 | 2006 | 231 | |
| 3 | 2012 | 111 | |
| 4 | 2011 | 101 | |
| 5 | 2014 | 92 | |
| 6 | 2008 | 75 | |
| 7 | 2008 | 73 | |
| 8 | 2007 | 72 | |
| 9 | 2016 | 64 | |
| 10 | 2013 | 59 | |
| 11 | 2018 | 54 | |
| 12 | 2017 | 50 | |
| 13 | 2014 | 49 | |
| 14 | 2010 | 46 | |
| 15 | 2011 | 44 | |
| 16 | 2016 | 39 | |
| 17 | 2022 | 39 | |
| 18 | 2018 | 34 | |
| 19 | 2019 | 33 | |
| 20 | 2009 | 32 |
About Damon May
Damon May is a scholar working on Spectroscopy, Molecular Biology, Immunology, Oncology and Rheumatology, having authored 37 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (17 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Mass Spectrometry Techniques and Applications (9 papers), Genomics and Phylogenetic Studies (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Inflammatory Bowel Disease (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Neurology (556 citations), Spectroscopy (632 citations), Infectious Diseases (335 citations), Critical Care and Intensive Care Medicine (75 citations) and Molecular Biology (1.1k citations). Damon May has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Martin W. McIntosh, William Stafford Noble, Ru Chen, Sheng Pan, Teresa A. Brentnall, Jimmy K. Eng, David A. Crispin, David Robinson Goodlett, Brook L. Nunn and Mary P. Bronner. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, The ISME Journal, Frontiers in 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.