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
-
- Functional Brain Connectivity Studies 7
- Neural dynamics and brain function 3
- Virology 6
- HIV Research and Treatment 6
- Co-authors
- Tony W. Wilson (25 shared papers)Mikki Schantell (21 shared papers)Jennifer Katz (2 shared papers)Alex I. Wiesman (14 shared papers)Jennifer O’Neill (13 shared papers)Silvia Sörensen (1 shared paper)Craig M. Johnson (12 shared papers)Daniel L. Murman (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
40 papers receiving 593 citations
Peers
Comparison fields: 5 of 79
- Virology 86
- Cognitive Neuroscience 187
- Neurology 66
- Health 58
- Biological Psychiatry 16
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 76 | |
| 2 | 2021 | 42 | |
| 3 | 2021 | 31 | |
| 4 | 2021 | 27 | |
| 5 | 2020 | 27 | |
| 6 | 2021 | 26 | |
| 7 | 2008 | 24 | |
| 8 | 2021 | 23 | |
| 9 | 2009 | 22 | |
| 10 | 2020 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 1997 | 15 | |
| 18 | 2021 | 15 | |
| 19 | 2022 | 15 | |
| 20 | 2022 | 14 |
About Pamela E. May
Pamela E. May is a scholar working on Cognitive Neuroscience, Virology, Infectious Diseases, Neurology and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 604 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), Neuroscience and Neuropharmacology Research (4 papers), HIV/AIDS Research and Interventions (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neural dynamics and brain function (3 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). The work is most often cited by research in Virology (86 citations), Cognitive Neuroscience (187 citations), Neurology (66 citations), Health (58 citations) and Biological Psychiatry (16 citations). Pamela E. May has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Tony W. Wilson, Mikki Schantell, Jennifer Katz, Alex I. Wiesman, Jennifer O’Neill, Silvia Sörensen, Craig M. Johnson, Daniel L. Murman, Susan Swindells and Howard S. Fox. 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.