Peter E. Highfield

18 papers receiving 1.2k citations

Peers

Peter E. Highfield
Comparison fields: 5 of 90
  • Hepatology 309
  • Agronomy and Crop Science 95
  • Molecular Biology 586
  • Epidemiology 243
  • Virology 34
Replace John G.R. Hurrell with:
John G.R. Hurrell Australia
Michael R. Eckart United States
Russell McCandliss United States
Satoko Matsunaga Japan
Takashi Imamura Japan
Sergio Gabriel Tisminetzky Italy
Raven Jackson United States
Mingzhao Zhu China
Bertrand Bellier France
Mario Köster Germany
Peter E. Highfield relative to John G.R. Hurrell Australia John G.R. Hurrell's profile →
Citations per field
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John G.R. Hurrell · 1×
Citations per year

Countries citing papers authored by Peter E. Highfield

Since Specialization
Citations

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

Fields of papers citing papers by Peter E. Highfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1978390
2 1987297
3
Association between hepatitis C virus and mixed cryoglobulinemia [see comment].
1992187
4
Association between hepatitis C virus and mixed cryoglobulinemia
1991154
5 200867
6 198146
7 198044
8 201439
9 197617
10 199213
11 202111
12 202010
13 19898
14 19797
15 20156
16 20213
17
Molecular biology, the new genetics and vaccine development.
19852
18 19781

About Peter E. Highfield

Peter E. Highfield is a scholar working on Animal Science and Zoology, Hepatology, Agronomy and Crop Science, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (4 papers), Hepatitis C virus research (3 papers), Animal Disease Management and Epidemiology (2 papers), Viral Infections and Immunology Research (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Virus-based gene therapy research (2 papers), Electrical and Bioimpedance Tomography (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Hepatology (309 citations), Agronomy and Crop Science (95 citations), Molecular Biology (586 citations), Epidemiology (243 citations) and Virology (34 citations). Peter E. Highfield has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include R. John Ellis, Fred Brown, David John Rowlands, Giovanni Longombardo, Francesco Aleksy Greco, Emanuele Marzo, Piero Palla, Adolfo Moretti, Michael J. Francis and Anthony Richard Carroll. Their work appears in journals such as Nature, Journal of Virology, Surgical Innovation, Journal of General Virology and Journal of Hepatology.

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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