Daniel P. Webster

23 papers receiving 1.3k citations

Daniel P. Webster's Hit Papers

Hepatitis C 2015 · 344 citations
3440+3+7Years since publication100200300

Peers

Daniel P. Webster
Comparison fields: 5 of 88
  • Hepatology 404
  • Virology 169
  • Public Health, Environmental and Occupational Health 451
  • Infectious Diseases 280
  • Epidemiology 382
Replace Barbara Savarese with:
Barbara Savarese United States
David E. Krysztof United States
Cyrille Bisseyé Gabon
Donna Klinzman United States
Artur T. L. Queiroz Brazil
Jinhua Xiang United States
Yue Feng China
Steffen Wildum Switzerland
Steven Read United Kingdom
Mark H. Kuniholm United States
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Citations per year

Countries citing papers authored by Daniel P. Webster

Since Specialization
Citations

This map shows the geographic impact of Daniel P. Webster'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 Daniel P. Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Webster more than expected).

Fields of papers citing papers by Daniel P. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Webster. 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 Daniel P. Webster. The network helps show where Daniel P. Webster may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel P. Webster, 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 Daniel P. Webster Line = papers co-authored together Daniel P. Webster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hepatitis C
Hit paper breakdown →
2015344
2 2005201
3 2009172
4 2005129
5 2005105
6 200678
7 201368
8 200953
9 201331
10 201127
11 196618
12 196717
13 201315
14 201514
15 201413
16 201013
17 201312
18 20139
19 20148
20 20145

About Daniel P. Webster

Daniel P. Webster is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Public Health, Environmental and Occupational Health and Virology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Mosquito-borne diseases and control (3 papers), HIV Research and Treatment (3 papers), vaccines and immunoinformatics approaches (3 papers), Hepatitis B Virus Studies (2 papers), Malaria Research and Control (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Hepatology (404 citations), Virology (169 citations), Public Health, Environmental and Occupational Health (451 citations), Infectious Diseases (280 citations) and Epidemiology (382 citations). Daniel P. Webster has collaborated with scholars based in United Kingdom, United States and Vietnam. Frequent co-authors include Paul Klenerman, Geoffrey Dusheiko, Jeremy Farrar, Sarah Rowland‐Jones, Susanna Dunachie, Jenni M. Vuola, Tamara Berthoud, Sheila M. Keating, Sarah C. Gilbert and Adrian V. S. Hill. Their work appears in journals such as Journal of Clinical Virology, The Journal of Immunology, The Lancet Infectious Diseases, Antiviral Therapy and Journal of Medical Microbiology.

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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