Phillip Pymm
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Reproductive System and Pregnancy
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Immunology 17
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 6
- Reproductive System and Pregnancy 2
- IL-33, ST2, and ILC Pathways 2
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- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- J.P. Vivian (10 shared papers)Jamie Rossjohn (10 shared papers)Andrëw G. Brööks (9 shared papers)Geraldine M. O’Connor (6 shared papers)Philippa M. Saunders (6 shared papers)Daniel W. McVicar (4 shared papers)David A. Price (4 shared papers)Wai‐Hong Tham (8 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)Journal of Virology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Phillip Pymm
20 papers receiving 808 citations
Peers
Comparison fields: 5 of 66
- Immunology 510
- Infectious Diseases 244
- Virology 42
- Obstetrics and Gynecology 31
- Modeling and Simulation 19
Countries citing papers authored by Phillip Pymm
This map shows the geographic impact of Phillip Pymm'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 Phillip Pymm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Pymm more than expected).
Fields of papers citing papers by Phillip Pymm
This network shows the impact of papers produced by Phillip Pymm. 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 Phillip Pymm. The network helps show where Phillip Pymm may publish in the future.
Co-authors
The 25 scholars most cited alongside Phillip Pymm, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 263 | |
| 2 | 2015 | 83 | |
| 3 | 2017 | 66 | |
| 4 | 2016 | 63 | |
| 5 | 2015 | 62 | |
| 6 | 2013 | 52 | |
| 7 | 2018 | 43 | |
| 8 | 2021 | 38 | |
| 9 | 2015 | 33 | |
| 10 | 2014 | 29 | |
| 11 | 2023 | 20 | |
| 12 | 2020 | 18 | |
| 13 | 2014 | 16 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 1 |
About Phillip Pymm
Phillip Pymm is a scholar working on Immunology, Infectious Diseases, Virology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 21 papers that have together received 817 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), HIV Research and Treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Reproductive System and Pregnancy (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology (510 citations), Infectious Diseases (244 citations), Virology (42 citations), Obstetrics and Gynecology (31 citations) and Modeling and Simulation (19 citations). Phillip Pymm has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include J.P. Vivian, Jamie Rossjohn, Andrëw G. Brööks, Geraldine M. O’Connor, Philippa M. Saunders, Daniel W. McVicar, David A. Price, Wai‐Hong Tham, Lucy C. Sullivan and Jennifer A. Juno. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Cell Reports, Journal of Virology and The Journal of Immunology.
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.