John L. Fahey

19.2k total citations · 2 hit papers
231 papers, 14.0k citations indexed

About

John L. Fahey is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John L. Fahey has authored 231 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Immunology, 53 papers in Molecular Biology and 39 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John L. Fahey's work include Monoclonal and Polyclonal Antibodies Research (39 papers), Immune Cell Function and Interaction (38 papers) and HIV Research and Treatment (30 papers). John L. Fahey is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (39 papers), Immune Cell Function and Interaction (38 papers) and HIV Research and Treatment (30 papers). John L. Fahey collaborates with scholars based in United States, India and Canada. John L. Fahey's co-authors include Eugene M. McKelvey, Margaret E. Kemeny, D. S. Rowe, Julienne E. Bower, Shelley E. Taylor, Najib Aziz, Parunag Nishanian, Roger Detels, William D. Terry and Patricia A. Ganz and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

John L. Fahey

225 papers receiving 11.9k citations

Hit Papers

Quantitative Determinatio... 1954 2026 1978 2002 1965 1954 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John L. Fahey 3.7k 2.7k 2.0k 1.9k 1.6k 231 14.0k
Steven D. Douglas 5.1k 1.4× 3.1k 1.1× 1.1k 0.5× 711 0.4× 2.2k 1.4× 463 15.5k
Michel D. Kazatchkine 5.1k 1.4× 1.4k 0.5× 2.2k 1.1× 1.9k 1.0× 2.9k 1.8× 256 13.3k
Thomas Lehner 4.4k 1.2× 4.9k 1.8× 847 0.4× 786 0.4× 3.2k 2.0× 377 20.1k
Ralph Snyderman 7.7k 2.1× 7.8k 2.8× 941 0.5× 900 0.5× 1.4k 0.9× 286 18.5k
Taco W. Kuijpers 8.9k 2.4× 4.0k 1.5× 2.6k 1.3× 1.5k 0.8× 2.6k 1.6× 478 17.8k
Jean‐François Bach 10.3k 2.8× 3.8k 1.4× 1.0k 0.5× 2.4k 1.3× 1.6k 1.0× 436 22.7k
Patrice Debré 10.7k 2.9× 2.5k 0.9× 1.0k 0.5× 987 0.5× 3.3k 2.0× 390 18.2k
John I. Bell 9.5k 2.5× 2.9k 1.0× 582 0.3× 1.3k 0.7× 2.0k 1.3× 107 16.0k
Jerome E. Groopman 4.9k 1.3× 3.7k 1.3× 2.2k 1.1× 886 0.5× 3.5k 2.2× 212 20.3k
Dan L. Longo 8.8k 2.4× 7.5k 2.7× 1.9k 0.9× 1.7k 0.9× 2.4k 1.5× 365 25.3k

Countries citing papers authored by John L. Fahey

Since Specialization
Citations

This map shows the geographic impact of John 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 John 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 John L. Fahey more than expected).

Fields of papers citing papers by John L. Fahey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John L. Fahey

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Fahey. A scholar is included among the top collaborators of John 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 John L. Fahey. John L. Fahey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Miller, Gregory E., Joel M. Dopp, Héctor F. Myers, Suzanne Y. Stevens, & John L. Fahey. (1999). Psychosocial predictors of natural killer cell mobilization during marital conflict.. Health Psychology. 18(3). 262–271. 1 indexed citations
2.
Salazar-Gonzalez, Jesus F., Otoniel Martı́nez-Maza, Najib Aziz, et al.. (1997). Relationship of Plasma HIV-RNA Levels and Levels of TNF-α and Immune Activation Products in HIV Infection. Clinical Immunology and Immunopathology. 84(1). 36–45. 49 indexed citations
3.
Wang, Heng, Parunag Nishanian, & John L. Fahey. (1995). Characterization of Immune Suppression by a Synthetic HIV gp41 Peptide. Cellular Immunology. 161(2). 236–243. 11 indexed citations
4.
Hofmann, Bo, Parunag Nishanian, John L. Fahey, et al.. (1991). Serum increases and lymphoid cell surface losses of IL-2 receptor CD25 in HIV infection: Distinctive parameters of HIV-induced change. Clinical Immunology and Immunopathology. 61(2). 212–224. 43 indexed citations
5.
Irvin, George L., John C. Eustace, & John L. Fahey. (1967). Enhancement Activity of Mouse Immunoglobulin Classes. The Journal of Immunology. 99(6). 1085–1091. 26 indexed citations
6.
Fahey, John L., Edward C. Franklin, Henry G. Kunkel, Elliott F. Osserman, & William D. Terry. (1967). Notation for Human Immunoglobin Subclasses. The Journal of Immunology. 99(2). 465–465. 9 indexed citations
7.
Fahey, John L., Werner F. Barth, & Zoltán Óváry. (1965). Differences in the Electrophoretic Mobility of Antibody from Inbred Strains of Mice. The Journal of Immunology. 94(6). 819–823. 4 indexed citations
8.
Fahey, John L. & Eugene M. McKelvey. (1965). Quantitative Determination of Serum Immunoglobulins in Antibody-Agar Plates. The Journal of Immunology. 94(1). 84–90. 1380 indexed citations breakdown →
9.
Terry, William D., John L. Fahey, & Arthur G. Steinberg. (1965). GM AND INV FACTORS IN SUBCLASSES OF HUMAN IGG. The Journal of Experimental Medicine. 122(6). 1087–1102. 83 indexed citations
10.
Rowe, D. S. & John L. Fahey. (1965). A NEW CLASS OF HUMAN IMMUNOGLOBULINS. The Journal of Experimental Medicine. 121(1). 171–184. 295 indexed citations
11.
Rowe, D. S. & John L. Fahey. (1965). A NEW CLASS OF HUMAN IMMUNOGLOBULINS. The Journal of Experimental Medicine. 121(1). 185–199. 217 indexed citations
12.
Fahey, John L. & Stewart Sell. (1965). THE IMMUNOGLOBULINS OF MICE. The Journal of Experimental Medicine. 122(1). 41–58. 145 indexed citations
13.
Sell, Stewart & John L. Fahey. (1964). Relationship Between γ-Globulin Metabolism and Low Serum γ-Globulin in Germfree Mice. The Journal of Immunology. 93(1). 81–87. 43 indexed citations
14.
Fahey, John L., John R. Wunderlich, & Robert I. Mishell. (1964). THE IMMUNOGLOBULINS OF MICE. The Journal of Experimental Medicine. 120(2). 243–251. 91 indexed citations
15.
Fahey, John L., John R. Wunderlich, & Robert I. Mishell. (1964). THE IMMUNOGLOBULINS OF MICE. The Journal of Experimental Medicine. 120(2). 223–242. 131 indexed citations
16.
Fahey, John L. & Alan Robinson. (1963). FACTORS CONTROLLING SERUM γ-GLOBULIN CONCENTRATION. The Journal of Experimental Medicine. 118(5). 845–868. 145 indexed citations
17.
Fahey, John L.. (1963). HETEROGENEITY OF MYELOMA PROTEINS. Journal of Clinical Investigation. 42(1). 111–123. 90 indexed citations
18.
Fahey, John L.. (1961). The nature of the myeloma globulin. Clinical Radiology. 12(1). 26–28. 1 indexed citations
19.
Fahey, John L.. (1961). IMMUNOCHEMICAL STUDIES OF TWENTY MOUSE MYELOMA PROTEINS: EVIDENCE FOR TWO GROUPS OF PROTEINS SIMILAR TO GAMMA AND BETA-2A GLOBULINS IN MAN. The Journal of Experimental Medicine. 114(3). 385–398. 32 indexed citations
20.
Fahey, John L.. (1961). PHYSICOCHEMICAL CHARACTERIZATION OF MOUSE MYELOMA PROTEINS: DEMONSTRATION OF HETEROGENEITY FOR EACH MYELOMA GLOBULIN. The Journal of Experimental Medicine. 114(3). 399–413. 48 indexed citations

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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