J. L. Fahey

4.7k citations
99 papers · 3.8k · h-index 37

Impact in

Papers in

    • Immune Cell Function and Interaction 11
    • Immunodeficiency and Autoimmune Disorders 11
    • Immunotherapy and Immune Responses 10
    • Hematopoietic Stem Cell Transplantation 12

J. L. Fahey

98 papers receiving 3.4k citations

Peers

J. L. Fahey
Comparison fields: 5 of 147
  • Virology 1.0k
  • Behavioral Neuroscience 234
  • Biological Psychiatry 160
  • Immunology 1.2k
  • Hematology 579
Replace Daniel P. Stites with:
Daniel P. Stites United States
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Citations per field
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Citations per year

Countries citing papers authored by J. L. Fahey

Since Specialization
Citations

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

Fields of papers citing papers by J. L. Fahey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991215
2 1993190
3 1987187
4 1987163
5 1965144
6 1990131
7 1994131
8 2003110
9 1964109
10 1994100
11 198496
12 199879
13 196678
14 200575
15 195775
16
Predictors of decline in CD4 lymphocytes in a cohort of homosexual men infected with human immunodeficiency virus.
198875
17 198774
18 196672
19 198766
20 198762

About J. L. Fahey

J. L. Fahey is a scholar working on Immunology, Hematology, Infectious Diseases, Virology and Molecular Biology, having authored 99 papers that have together received 3.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (19 papers), HIV/AIDS Research and Interventions (15 papers), Hematopoietic Stem Cell Transplantation (12 papers), Immune Cell Function and Interaction (11 papers), Immunodeficiency and Autoimmune Disorders (11 papers), Immunotherapy and Immune Responses (10 papers), HIV/AIDS drug development and treatment (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Virology (1.0k citations), Behavioral Neuroscience (234 citations), Biological Psychiatry (160 citations), Immunology (1.2k citations) and Hematology (579 citations). J. L. Fahey has collaborated with scholars based in United States, United Kingdom and Tanzania. Frequent co-authors include P Nishanian, H Z Bass, Eugene M. McKelvey, Roger Detels, Ronald T. Mitsuyasu, Janis V. Giorgi, Jianhui Fan, Margaret E. Kemeny, John Humphrey and Brigitte A. Askonas. Their work appears in journals such as The Journal of Immunology, Experimental Biology and Medicine, Journal of Clinical Investigation, Journal of Clinical Oncology and The Journal of Experimental Medicine.

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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