Thomas Tipih
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Modeling and Simulation top 10%
Papers in
-
- Viral Infections and Vectors 5
- Viral Infections and Outbreaks Research 3
- COVID-19 Clinical Research Studies 2
-
- Vector-Borne Animal Diseases 4
- Co-authors
- Felicity J. Burt (4 shared papers)Joseph B. Sempa (2 shared papers)Makoah N. Aminake (2 shared papers)Dominique Goedhals (2 shared papers)Suresh Mahalingam (1 shared paper)Wern Hann Ng (1 shared paper)Adam Taylor (1 shared paper)Jan‐G Vermeulen (1 shared paper)
- Journals
- Nature Communications (2 papers)mBio (1 paper)EBioMedicine (1 paper)Vaccines (1 paper)Antiviral Research (1 paper)
- Partner nations
- United StatesSouth AfricaAustralia
In The Last Decade
Thomas Tipih
9 papers receiving 272 citations
Thomas Tipih's Hit Papers
Peers
Comparison fields: 5 of 65
- Infectious Diseases 229
- Modeling and Simulation 20
- Neurology 52
- Ecology, Evolution, Behavior and Systematics 41
- Public Health, Environmental and Occupational Health 49
Countries citing papers authored by Thomas Tipih
This map shows the geographic impact of Thomas Tipih'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 Thomas Tipih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Tipih more than expected).
Fields of papers citing papers by Thomas Tipih
This network shows the impact of papers produced by Thomas Tipih. 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 Thomas Tipih. The network helps show where Thomas Tipih may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Tipih, 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 | Comorbidities in SARS-CoV-2 Patients: a Systematic Review and Meta-Analysis Hit paper breakdown → | 2021 | 184 |
| 2 | 2020 | 45 | |
| 3 | 2021 | 13 | |
| 4 | 2023 | 12 | |
| 5 | 2024 | 10 | |
| 6 | 2021 | 9 | |
| 7 | 2025 | 4 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 1 |
About Thomas Tipih
Thomas Tipih is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Epidemiology, Public Health, Environmental and Occupational Health and Neurology, having authored 9 papers that have together received 280 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Vector-Borne Animal Diseases (4 papers), Viral Infections and Outbreaks Research (3 papers), Influenza Virus Research Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Mosquito-borne diseases and control (2 papers), Long-Term Effects of COVID-19 (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (229 citations), Modeling and Simulation (20 citations), Neurology (52 citations), Ecology, Evolution, Behavior and Systematics (41 citations) and Public Health, Environmental and Occupational Health (49 citations). Thomas Tipih has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Felicity J. Burt, Joseph B. Sempa, Makoah N. Aminake, Dominique Goedhals, Suresh Mahalingam, Wern Hann Ng, Adam Taylor, Jan‐G Vermeulen, Mark T. Heise and Heinz Feldmann. Their work appears in journals such as Nature Communications, mBio, EBioMedicine, Vaccines and Antiviral Research.
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.