John J. Docherty

1.6k citations
50 papers · 1.4k · h-index 18

Impact in

Papers in

    • Herpesvirus Infections and Treatments 38
    • Cytomegalovirus and herpesvirus research 9
    • Virus-based gene therapy research 16

John J. Docherty

50 papers receiving 1.3k citations

Peers

John J. Docherty
Comparison fields: 5 of 95
  • Geriatrics and Gerontology 274
  • Epidemiology 604
  • Immunology 262
  • Virology 55
  • Biochemistry 58
Replace Nitwara Wikan with:
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Kimiyasu Shiraki Japan
Gan Zhao China
Tohru Daikoku Japan
Tony T. Wang United States
Pachiyappan Kamarajan United States
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Citations per field
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Citations per year

Countries citing papers authored by John J. Docherty

Since Specialization
Citations

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

Fields of papers citing papers by John J. Docherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999184
2 2006115
3 2006101
4 200396
5 200592
6 200782
7 199872
8 200159
9 197750
10 197746
11 197639
12 197434
13
Reaction patterns of herpes simplex virus type 1 and type 2 proteins with sera of patients with uterine cervical carcinoma and matched controls.
198033
14 198125
15 198125
16 198224
17 197820
18 198419
19 197118
20 200218

About John J. Docherty

John J. Docherty is a scholar working on Epidemiology, Genetics, Immunology, Geriatrics and Gerontology and Virology, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (38 papers), Virus-based gene therapy research (16 papers), Cytomegalovirus and herpesvirus research (9 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Toxin Mechanisms and Immunotoxins (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral-associated cancers and disorders (4 papers) and Parvovirus B19 Infection Studies (4 papers). The work is most often cited by research in Geriatrics and Gerontology (274 citations), Epidemiology (604 citations), Immunology (262 citations), Virology (55 citations) and Biochemistry (58 citations). John J. Docherty has collaborated with scholars based in United States. Frequent co-authors include Tristan D. Booth, Thomas J. Sweet, Erin B. Bailey, Seth A. Faith, Mary F.D. Notter, Ming Fu, Min Fu, Angelo L. DeLucia, Judith E. Kalinyak and Jeong Ok Hah. Their work appears in journals such as Journal of Medical Virology, Antiviral Research, Experimental Biology and Medicine, Journal of General Virology and Journal of Histochemistry & Cytochemistry.

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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