Peter E. Highfield

1.5k citations
17 papers · 1.3k · h-index 11

Impact in

Papers in

Peter E. Highfield

17 papers receiving 1.1k citations

Peers

Peter E. Highfield
Comparison fields: 5 of 89
  • Hepatology 282
  • Agronomy and Crop Science 95
  • Molecular Biology 584
  • Epidemiology 230
  • Virology 33
Replace John G.R. Hurrell with:
John G.R. Hurrell Australia
Michael Eckart United States
Russell McCandliss United States
Michael P. Malakhov United States
Raven Jackson United States
Uyen Phan United States
Takashi Imamura Japan
Sergio Tisminetzky Italy
Chen Zhao China
Mingzhao Zhu China
Peter E. Highfield relative to John G.R. Hurrell Australia John G.R. Hurrell's profile →
Citations per field
00.5×4.3×
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

17 of 17 papers shown
#Work
1 1978390
2 1987295
3
Association between hepatitis C virus and mixed cryoglobulinemia [see comment].
1992176
4
Association between hepatitis C virus and mixed cryoglobulinemia
1991145
5 200868
6 198146
7 198044
8 201436
9 197617
10 202111
11 202010
12 19897
13 19797
14 20156
15 20213
16
Molecular biology, the new genetics and vaccine development.
19852
17 19781

About Peter E. Highfield

Peter E. Highfield is a scholar working on Molecular Biology, Animal Science and Zoology, Biomedical Engineering, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (4 papers), Photosynthetic Processes and Mechanisms (2 papers), Electrical and Bioimpedance Tomography (2 papers), Hepatitis C virus research (2 papers), Animal Disease Management and Epidemiology (2 papers), Viral Infections and Immunology Research (2 papers), Virus-based gene therapy research (2 papers) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Hepatology (282 citations), Agronomy and Crop Science (95 citations), Molecular Biology (584 citations), Epidemiology (230 citations) and Virology (33 citations). Peter E. Highfield has collaborated with scholars based in United Kingdom, Australia and Hungary. Frequent co-authors include R. John Ellis, F. Brown, David J. Rowlands, Michael J. Francis, B. E. Clarke, G. Appleyard, Anthony R. Carroll, Susan E Newton, P. Palla and E Marzo. Their work appears in journals such as Nature, Journal of Virology, Advanced Materials, Surgical Innovation and Journal of General 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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