Thomas Tipih

535 citations
10 papers · 363 · 1 hit paper · h-index 8

Impact in

    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 epidemiological studies

Papers in

    • Viral Infections and Vectors 5
    • SARS-CoV-2 detection and testing 1
    • COVID-19 Clinical Research Studies 1
    • Influenza Virus Research Studies 3

Thomas Tipih

10 papers receiving 353 citations

Thomas Tipih's Hit Papers

Pathogenesis of bovine H5N1 clade 2.3.4.4b infection in macaques 2025 · 30 citations
300Years since publication102030

Peers

Thomas Tipih
Comparison fields: 5 of 58
  • Infectious Diseases 233
  • Modeling and Simulation 17
  • Epidemiology 53
  • Microbiology 1
  • Parasitology 7
Replace Amy K. Slenker with:
Amy K. Slenker United States
Kesego Tapela Ghana
Sandhya Nagarakanti United States
Wern Hann Ng Australia
Bosco Hoi Shiu Lam Hong Kong
Ayşe Başak Altaş Türkiye
Jennifer Oliver United Kingdom
Rafael dos Santos Bezerra Brazil
Anderson Fuentes Ferreira Brazil
Sanjay Rai India
Thomas Tipih relative to Amy K. Slenker United States Amy K. Slenker's profile →
Citations per field
00.5×5×10×15×21×
Amy K. Slenker · 1×
Citations per year

Countries citing papers authored by Thomas Tipih

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Thomas Tipih Line = papers co-authored together Thomas Tipih links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2021201
2 202056
3
Pathogenesis of bovine H5N1 clade 2.3.4.4b infection in macaques
Hit paper breakdown →
202530
4 202319
5 202514
6 202113
7 202110
8 202410
9 20256
10 20254

About Thomas Tipih

Thomas Tipih is a scholar working on Infectious Diseases, Epidemiology, Nuclear Energy and Engineering, Waste Management and Disposal and Organic Chemistry, having authored 10 papers that have together received 363 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Influenza Virus Research Studies (3 papers), SARS-CoV-2 detection and testing (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (233 citations), Modeling and Simulation (17 citations), Epidemiology (53 citations), Microbiology (1 citation) and Parasitology (7 citations). Thomas Tipih has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Felicity Jane Burt, Joseph Bukulu Sempa, Makoah Nigel Aminake, Dominique Goedhals, Suresh Mahalingam, Wern Hann Ng, Adam Taylor, Jan‐G Vermeulen, Kimberly D. Meade-White and Heinz Feldmann. Their work appears in journals such as Nature Communications, Antiviral Research, Nature, EBioMedicine and BioResearch open access.

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.

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