Gemma E. May
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- RNA Research and Splicing 14
- RNA and protein synthesis mechanisms 13
- RNA modifications and cancer 13
- Immunology 12
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 4
- Co-authors
- C. Joel McManus (18 shared papers)Günter P. Wagner (3 shared papers)Vincent J. Lynch (2 shared papers)Pieter Spealman (4 shared papers)Thomas C. Friedrich (9 shared papers)Yizhu Lin (3 shared papers)Carol Eunmi Lee (2 shared papers)Gregory Gelembiuk (2 shared papers)
- Journals
- Journal of Virology (8 papers)Genome Research (4 papers)Cell Reports (2 papers)Molecular Ecology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Gemma E. May
42 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 98
- Virology 577
- Immunology 531
- Infectious Diseases 348
- Molecular Biology 1.2k
- Epidemiology 269
Countries citing papers authored by Gemma E. May
This map shows the geographic impact of Gemma E. 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 Gemma E. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma E. May more than expected).
Fields of papers citing papers by Gemma E. May
This network shows the impact of papers produced by Gemma E. 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 Gemma E. May. The network helps show where Gemma E. May may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma E. 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 311 | |
| 2 | 2006 | 227 | |
| 3 | 2012 | 189 | |
| 4 | 2007 | 174 | |
| 5 | 2013 | 155 | |
| 6 | 2014 | 151 | |
| 7 | 2011 | 83 | |
| 8 | 2019 | 82 | |
| 9 | 2006 | 77 | |
| 10 | 2014 | 76 | |
| 11 | 2006 | 67 | |
| 12 | 2007 | 66 | |
| 13 | 2015 | 64 | |
| 14 | 2017 | 61 | |
| 15 | 2019 | 57 | |
| 16 | 2010 | 52 | |
| 17 | 2006 | 45 | |
| 18 | 2009 | 43 | |
| 19 | 2008 | 43 | |
| 20 | 2007 | 43 |
About Gemma E. May
Gemma E. May is a scholar working on Molecular Biology, Immunology, Virology, Infectious Diseases and Oncology, having authored 42 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (13 papers), HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (10 papers), Antifungal resistance and susceptibility (4 papers), T-cell and B-cell Immunology (4 papers) and Fungal Infections and Studies (3 papers). The work is most often cited by research in Virology (577 citations), Immunology (531 citations), Infectious Diseases (348 citations), Molecular Biology (1.2k citations) and Epidemiology (269 citations). Gemma E. May has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include C. Joel McManus, Günter P. Wagner, Vincent J. Lynch, Pieter Spealman, Thomas C. Friedrich, Yizhu Lin, Carol Eunmi Lee, Gregory Gelembiuk, Levi Yant and David I. Watkins. Their work appears in journals such as Journal of Virology, Genome Research, Cell Reports, Molecular Ecology and Nucleic Acids Research.
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.