P J Barr

8.2k citations
66 papers · 7.0k indexed · 2 hit papers · h-index 39

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
  • Virology top 0.5%
    • HIV Research and Treatment

Papers in

P J Barr

65 papers receiving 6.7k citations

Hit Papers

Genetic organization and diversity of the hepatitis C virus. 1991 · 1.5k citations
1.5k19792026199420104008001.2k

Peers

P J Barr
Comparison fields: 5 of 123
  • Hepatology 1.4k
  • Virology 849
  • Immunology 1.3k
  • Epidemiology 1.8k
  • Cell Biology 813
Replace Riccardo Cortese with:
Riccardo Cortese Italy
Peter Sarnow United States
Alfredo Nicosia Italy
Akio Nomoto Japan
Karla Kirkegaard United States
Christopher T. Jones United States
Thomas R. Fuerst United States
M. G. P. Stoker United Kingdom
Philippe Gallay United States
Jean‐Louis Virelizier France
P J Barr relative to Riccardo Cortese Italy Riccardo Cortese's profile →
Citations per field
00.5×1.5×2.0×
Riccardo Cortese · 1×
Citations per year

Countries citing papers authored by P J Barr

Since Specialization
Citations

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

Fields of papers citing papers by P J Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Characterization of a recombinant Onchocerca volvulus antigen (Ov33) produced in yeast.
199713
2 199311
3 1992131
4 199237
5 199223
6 1991175
7 199019
8 199024
9 1990101
10 198943
11 198972
12 198862
13 1988231
14 198759
15 198710
16 198662
17
Biosynthetic human EGF accelerates healing of Neodecadron-treated primate corneas.
198565
18 1984393
19 1981124
20 197616

About P J Barr

P J Barr is a scholar working on Virology, Immunology, Infectious Diseases, Parasitology and Molecular Biology, having authored 66 papers that have together received 7.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), HIV/AIDS drug development and treatment (10 papers), Mosquito-borne diseases and control (9 papers), Malaria Research and Control (9 papers), Synthesis and Characterization of Heterocyclic Compounds (6 papers), RNA and protein synthesis mechanisms (6 papers), Biochemical and Molecular Research (5 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Hepatology (1.4k citations), Virology (849 citations), Immunology (1.3k citations), Epidemiology (1.8k citations) and Cell Biology (813 citations). P J Barr has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include A J Brake, Carmen Gallegos, Christine Dong, Q L Choo, Jang H. Han, Doris Coit, Karin Berger, Michael Kiefer, Erik De Clercq and Ian Bathurst. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Infection and Immunity, Journal of Virology and The Journal of Immunology.

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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