Pamela E. May
Impact in
- Virology top 5%
- HIV Research and Treatment
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
- Virology 6
- HIV Research and Treatment 6
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- Functional Brain Connectivity Studies 7
- Neural dynamics and brain function 3
- Co-authors
- Tony W. Wilson (24 shared papers)Mikki D. Schantell (20 shared papers)Jennifer Katz (2 shared papers)Alex I. Wiesman (14 shared papers)Jennifer L. O’Neill (12 shared papers)Silvia Sörensen (1 shared paper)Daniel L. Murman (12 shared papers)Craig M. Johnson (12 shared papers)
- Journals
- EBioMedicine (4 papers)Aging (3 papers)Brain Communications (3 papers)Pathogens (2 papers)Human Brain Mapping (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Pamela E. May
39 papers receiving 618 citations
Peers
Comparison fields: 5 of 81
- Virology 93
- Cognitive Neuroscience 195
- Biological Psychiatry 22
- Neurology 70
- Health 56
Countries citing papers authored by Pamela E. May
This map shows the geographic impact of Pamela 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 Pamela 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 Pamela E. May more than expected).
Fields of papers citing papers by Pamela E. May
This network shows the impact of papers produced by Pamela 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 Pamela E. May. The network helps show where Pamela E. May may publish in the future.
Co-authors
The 25 scholars most cited alongside Pamela 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 76 | |
| 2 | 2021 | 42 | |
| 3 | 2021 | 32 | |
| 4 | 2020 | 30 | |
| 5 | 2021 | 28 | |
| 6 | 2021 | 27 | |
| 7 | 2008 | 23 | |
| 8 | 2009 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2021 | 20 | |
| 13 | 2022 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 19 | |
| 16 | 2021 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 1997 | 15 | |
| 19 | 2022 | 15 | |
| 20 | 2022 | 15 |
About Pamela E. May
Pamela E. May is a scholar working on Virology, Cognitive Neuroscience, Neurology, Neurology and Infectious Diseases, having authored 40 papers that have together received 626 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), HIV Research and Treatment (6 papers), Alzheimer's disease research and treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), HIV/AIDS Research and Interventions (3 papers), Neural dynamics and brain function (3 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Virology (93 citations), Cognitive Neuroscience (195 citations), Biological Psychiatry (22 citations), Neurology (70 citations) and Health (56 citations). Pamela E. May has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Tony W. Wilson, Mikki D. Schantell, Jennifer Katz, Alex I. Wiesman, Jennifer L. O’Neill, Silvia Sörensen, Daniel L. Murman, Craig M. Johnson, Susan Swindells and Brandon J. Lew. Their work appears in journals such as EBioMedicine, Aging, Brain Communications, Pathogens and Human Brain Mapping.
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.