Peter Revill

5.4k citations
109 papers · 3.1k indexed · 1 hit paper · h-index 34

Peter Revill

108 papers receiving 3.0k citations

Hit Papers

Overview of hepatitis B viral replication and genetic var...3062016202620192022100200300

Peers

Peter Revill
Comparison fields: 5 of 99
  • Hepatology 1.7k
  • Horticulture 66
  • Epidemiology 2.1k
  • Endocrinology 277
  • Virology 158
Replace Gennadiy Koev with:
Gennadiy Koev United States
Zhi Hong United States
C. T. Ranjith-Kumar United States
Mo‐Quen Klinkert Germany
B. Wolanski United States
Yue Feng China
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Lucyna Cova France
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Philippe Le Mercier Switzerland
Peter Revill relative to Gennadiy Koev United States Gennadiy Koev's profile →
Citations per field
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Gennadiy Koev · 1×
Citations per year

Countries citing papers authored by Peter Revill

Since Specialization
Citations

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

Fields of papers citing papers by Peter Revill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Revill. 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 Peter Revill. The network helps show where Peter Revill may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20248
3 202320
4 202218
5 202121
6 202140
7 202120
8 202123
9 202029
10 202033
11 202027
12
The e Antigen Is an Interferon Resistance Protein That Allows the Hepatitis B Virus to Evade the Early Immune Response.
20181
13 201821
14 201750
15 201638
16 20167
17 20072
18
HBV variants: Clinical significance and public health implications
20051
19
PCR and ELISA-based virus surveys of banana, papaya and cucurbit crops in Vietnam
20041
20 199452

About Peter Revill

Peter Revill is a scholar working on Hepatology, Epidemiology and Endocrinology, having authored 109 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (77 papers), Hepatitis C virus research (68 papers), Liver Disease Diagnosis and Treatment (43 papers), Plant Virus Research Studies (13 papers), Hepatitis Viruses Studies and Epidemiology (10 papers), Plant and Fungal Interactions Research (7 papers), HIV Research and Treatment (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Hepatology (1.7k citations), Horticulture (66 citations) and Epidemiology (2.1k citations). Peter Revill has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Shuping Tong, Stephen Locarnini, J. L. Dale, Margaret Littlejohn, R. M. Harding, Cuong Viet Ha, Sang Hoon Ahn, Lilly Yuen, Beom Kyung Kim and Danni Colledge. Their work appears in journals such as Journal of Hepatology, Virology, Journal of Virology, Journal of General Virology and Archives of Virology.

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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