Matthew F. Wipperman
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 5
- Tuberculosis Research and Epidemiology 4
- Clostridium difficile and Clostridium perfringens research 4
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 4
-
- Gut microbiota and health 7
- Steroid Chemistry and Biochemistry 4
-
- Mycobacterium research and diagnosis 3
- Co-authors
- Nicole S. SampsonSuzanne T. ThomasMichael S. GlickmanSivaranjani NamasivayamAlan SherJames BeanDaniel W. FitzgeraldVanni Bucci
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)Molecular Cell (1 paper)
- Partner nations
- United StatesHaitiSwitzerland
In The Last Decade
Matthew F. Wipperman
28 papers receiving 806 citations
Peers
Comparison fields: 5 of 107
- Infectious Diseases 405
- Pharmacology 128
- Molecular Biology 541
- Molecular Medicine 28
- Gastroenterology 26
Countries citing papers authored by Matthew F. Wipperman
This map shows the geographic impact of Matthew F. Wipperman'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 Matthew F. Wipperman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew F. Wipperman more than expected).
Fields of papers citing papers by Matthew F. Wipperman
This network shows the impact of papers produced by Matthew F. Wipperman. 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 Matthew F. Wipperman. The network helps show where Matthew F. Wipperman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew F. Wipperman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 34 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 36 | |
| 13 | 2019 | 28 | |
| 14 | 2018 | 65 | |
| 15 | 2018 | 18 | |
| 16 | 2018 | 50 | |
| 17 | 2017 | 133 | |
| 18 | 2017 | 103 | |
| 19 | 2015 | 50 | |
| 20 | 2013 | 2 |
About Matthew F. Wipperman
Matthew F. Wipperman is a scholar working on Infectious Diseases, Pharmacology and Immunology, having authored 30 papers that have together received 821 indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Tuberculosis Research and Epidemiology (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Steroid Chemistry and Biochemistry (4 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Infectious Diseases (405 citations), Pharmacology (128 citations) and Molecular Biology (541 citations). Matthew F. Wipperman has collaborated with scholars based in United States, Haiti and Switzerland. Frequent co-authors include Nicole S. Sampson, Suzanne T. Thomas, Michael S. Glickman, Sivaranjani Namasivayam, Alan Sher, James Bean, Daniel W. Fitzgerald, Vanni Bucci, Meng Yang and Marc Antoine Jean Juste. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.
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.