Gemma E. May
Impact in
Papers in
- Virology 13
- HIV Research and Treatment 13
- Immunology 14
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 5
- Co-authors
- Gunter Wagner (3 shared papers)Vincent J. Lynch (2 shared papers)C. Joel McManus (16 shared papers)Thomas C. Friedrich (9 shared papers)Levi J Yant (4 shared papers)David I. Watkins (6 shared papers)Yizhu Lin (3 shared papers)Carol Eunmi Lee (2 shared papers)
- Journals
- Journal of Virology (9 papers)Nature (4 papers)Nucleic Acids Research (3 papers)Cell Reports (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Gemma E. May
44 papers receiving 3.3k citations
Gemma E. May's Hit Papers
Peers
Comparison fields: 5 of 117
- Virology 879
- Aging 73
- Immunology 832
- Infectious Diseases 431
- Molecular Biology 1.6k
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 518 | |
| 2 | 2011 | 315 | |
| 3 | 2006 | 253 | |
| 4 | 2006 | 221 | |
| 5 | 2014 | 212 | |
| 6 | 2007 | 190 | |
| 7 | 2012 | 182 | |
| 8 | 2014 | 148 | |
| 9 | The complex polyploid genome architecture of sugarcane Hit paper breakdown → | 2024 | 109 |
| 10 | 2013 | 93 | |
| 11 | 2019 | 83 | |
| 12 | 2011 | 82 | |
| 13 | 2006 | 78 | |
| 14 | 2007 | 77 | |
| 15 | 2014 | 72 | |
| 16 | 2007 | 70 | |
| 17 | 2006 | 69 | |
| 18 | 2019 | 57 | |
| 19 | 2010 | 51 | |
| 20 | 2009 | 49 |
About Gemma E. May
Gemma E. May is a scholar working on Virology, Immunology, Molecular Biology, Infectious Diseases and Microbiology, having authored 44 papers that have together received 3.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (13 papers), RNA Research and Splicing (12 papers), RNA modifications and cancer (11 papers), Immune Cell Function and Interaction (11 papers), RNA and protein synthesis mechanisms (10 papers), T-cell and B-cell Immunology (5 papers), Antifungal resistance and susceptibility (4 papers) and Fungal Infections and Studies (3 papers). The work is most often cited by research in Virology (879 citations), Aging (73 citations), Immunology (832 citations), Infectious Diseases (431 citations) and Molecular Biology (1.6k citations). Gemma E. May has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Gunter Wagner, Vincent J. Lynch, C. Joel McManus, Thomas C. Friedrich, Levi J Yant, David I. Watkins, Yizhu Lin, Carol Eunmi Lee, Gregory William Gelembiuk and Nicholas J. Maness. Their work appears in journals such as Journal of Virology, Nature, Nucleic Acids Research, Cell Reports and PLoS Pathogens.
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.