J L Fahey

1.3k total citations
11 papers, 918 citations indexed

About

J L Fahey is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, J L Fahey has authored 11 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Virology and 2 papers in Epidemiology. Recurrent topics in J L Fahey's work include Immune Cell Function and Interaction (3 papers), HIV Research and Treatment (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). J L Fahey is often cited by papers focused on Immune Cell Function and Interaction (3 papers), HIV Research and Treatment (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). J L Fahey collaborates with scholars based in United States, Croatia and Mexico. J L Fahey's co-authors include Roger Detels, Janis V. Giorgi, Jeremy M. G. Taylor, Jesus F. Salazar-Gonzalez, Elizabeth C. Breen, Koichi Nakajima, T Hirano, Otoniel Martı́nez-Maza, P Nishanian and T Kishimoto and has published in prestigious journals such as The Lancet, The Journal of Immunology and PubMed.

In The Last Decade

J L Fahey

11 papers receiving 847 citations

Peers

J L Fahey
Comparison fields: 5 of 94
  • Immunology 365
  • Virology 360
  • Epidemiology 266
  • Infectious Diseases 266
  • Oncology 106
Replace Marijke Th. L. Roos with:
Marijke Th. L. Roos Netherlands
T Hirano Japan
P Nishanian United States
N I Stocks United States
Jean François Delfraissy France
A Ravina Italy
Marjorie Hubbard United States
Leslie R. Bisset Switzerland
D E Lewis United States
C. Gazengel France
Marijke Th. L. Roos Netherlands View profile →
Citations per field, relative to J L Fahey
J L Fahey · 1×
Citations per year, relative to J L Fahey
J L Fahey · 1×

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-authorship network of co-authors of J L Fahey

This figure shows the co-authorship network connecting the top 25 collaborators of J L Fahey. A scholar is included among the top collaborators of J L Fahey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J L Fahey. J L Fahey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1
CD4 percentage, CD4 number, and CD4:CD8 ratio in HIV infection: which to choose and how to use.
258
2 274
3 93
4
Azathioprine suppression of natural killer activity and antibody-dependent cellular cytotoxicity in renal transplant recipients.
3
5 101
6 68
7 80
8 1
9
Biochemical properties of papain-solubilized murine and human histocompatibility alloantigens.
4
10
Antibody differences in several strains of mice. Abstr.
1
11 35

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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