J. A. Frelinger

1.4k total citations · 1 hit paper
47 papers, 1.1k citations indexed

About

J. A. Frelinger is a scholar working on Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. A. Frelinger has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 13 papers in Epidemiology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. A. Frelinger's work include Immunotherapy and Immune Responses (15 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and T-cell and B-cell Immunology (10 papers). J. A. Frelinger is often cited by papers focused on Immunotherapy and Immune Responses (15 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and T-cell and B-cell Immunology (10 papers). J. A. Frelinger collaborates with scholars based in United States, United Kingdom and Germany. J. A. Frelinger's co-authors include Adam Buntzman, John E. Niederhuber, Lishan Su, Charles M. Rice, Liguo Zhang, Kovalev Gi, Michael L. Washburn, Moses T. Bility, Alexander Ploß and Chella S. David and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

J. A. Frelinger

39 papers receiving 1.0k citations

Hit Papers

A Humanized Mouse Model to Study Hepatitis C Virus Infect... 2011 2026 2016 2021 2011 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. A. Frelinger United States 18 658 310 241 228 142 47 1.1k
Neelima M. Bhat United States 15 354 0.5× 274 0.9× 117 0.5× 208 0.9× 80 0.6× 29 1.0k
Chikateru Nozaki Japan 14 252 0.4× 305 1.0× 396 1.6× 115 0.5× 251 1.8× 33 945
N. Kors Netherlands 20 662 1.0× 359 1.2× 84 0.3× 214 0.9× 37 0.3× 43 1.2k
Megan Barnden Australia 14 1.9k 2.9× 467 1.5× 239 1.0× 113 0.5× 85 0.6× 15 2.4k
Laurence Chatel Switzerland 14 616 0.9× 355 1.1× 212 0.9× 108 0.5× 71 0.5× 23 1.1k
Carl Birks United States 7 336 0.5× 189 0.6× 162 0.7× 56 0.2× 136 1.0× 8 852
E. Kuwert Germany 16 338 0.5× 173 0.6× 263 1.1× 86 0.4× 58 0.4× 108 1.0k
Beatrice Pérarnau France 15 1.6k 2.5× 319 1.0× 227 0.9× 70 0.3× 37 0.3× 20 1.9k
Laura Arribillaga Spain 14 516 0.8× 163 0.5× 188 0.8× 58 0.3× 204 1.4× 22 819
Martin V. Haspel United States 19 384 0.6× 224 0.7× 295 1.2× 309 1.4× 41 0.3× 29 1.3k

Countries citing papers authored by J. A. Frelinger

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Frelinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. A. Frelinger

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Frelinger. A scholar is included among the top collaborators of J. A. Frelinger 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. A. Frelinger. J. A. Frelinger 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
2.
Buntzman, Adam, et al.. (2020). Allelic diversity at the DLA-88 locus in Golden Retriever and Boxer breeds is limited. UNC Libraries. 2 indexed citations
3.
Buntzman, Adam, et al.. (2012). Allelic diversity at the DLA‐88 locus in Golden Retriever and Boxer breeds is limited. Tissue Antigens. 80(2). 175–183. 27 indexed citations
4.
Washburn, Michael L., Moses T. Bility, Liguo Zhang, et al.. (2011). A Humanized Mouse Model to Study Hepatitis C Virus Infection, Immune Response, and Liver Disease. Gastroenterology. 140(4). 1334–1344. 220 indexed citations breakdown →
5.
Wardrop, Richard M., Ting Gui, Robert Maile, et al.. (2006). Transgene expression levels and kinetics determine risk of humoral immune response modeled in factor IX knockout and missense mutant mice. Gene Therapy. 14(5). 429–440. 34 indexed citations
6.
White, G C, et al.. (2003). Identification of T-cell epitopes in clotting factor IX and lack of tolerance in inbred mice. Journal of Thrombosis and Haemostasis. 1(1). 95–102. 12 indexed citations
7.
Hunt, John P., Michelle R. Brownstein, C. Scott Hultman, et al.. (1998). Host Priming, Not Target Antigen Type, Decides Rejection Rate in Mice Primed with MHC II “Knockout” Cultured Keratinocytes. Journal of Surgical Research. 76(1). 32–36. 4 indexed citations
8.
Matsui, M., et al.. (1996). A point mutation in hla-a0201 results in failure to bind the tap complex and to present virus derived peptides to ctl. The FASEB Journal. 10(6). 5 indexed citations
9.
Müller, Daniel, et al.. (1995). Natural killer cell activity in lymphocytic choriomeningitis virus-infected  2-microglobulin-deficient mice. International Immunology. 7(10). 1545–1556. 22 indexed citations
10.
Tussey, Lynda, M. Matsui, S. Rowland-Jones, et al.. (1994). Analysis of mutant HLA-A2 molecules. Differential effects on peptide binding and CTL recognition.. The Journal of Immunology. 152(3). 1213–1221. 44 indexed citations
11.
Moots, R. J., Stephen P. Young, Jack L. Strominger, et al.. (1993). INTERACTIONS BETWEEN PEPTIDE AND CLASS-I MHC - IMPLICATIONS FOR IMMUNOTHERAPY IN RHEUMATIC DISEASE. Lara D. Veeken. 32. 24–24. 2 indexed citations
12.
13.
McMillan, Minnie, J. A. Frelinger, Patricia P. Jones, et al.. (1981). Structure of murine Ia antigens. Two dimensional electrophoretic analyses and high pressure liquid chromatography tryptic peptide maps of products of the I-A and I-E subregions and of an associated invariant polypeptide.. The Journal of Experimental Medicine. 153(4). 936–950. 67 indexed citations
14.
Jandinski, John J., et al.. (1980). Role of self carriers in the immune response and tolerance. V. Reversal of trinitrophenyl-modified self suppression of the B-cell response by blocking of H-2 antigens.. The Journal of Experimental Medicine. 151(1). 133–143. 10 indexed citations
15.
McMillan, Minnie, J. Michael Cecka, John G. Frelinger, et al.. (1978). Chemical Characterization of Murine Ia Antigens. The Journal of Immunology. 121(4). 1609–1609. 1 indexed citations
16.
Lukasewycz, Omelan A. & J. A. Frelinger. (1977). Immune mechanisms in leukemia role of the Ia antigens.. The Journal of Experimental Medicine. 145(4). 1077–1081. 4 indexed citations
17.
Frelinger, J. A.. (1977). Ia‐bearing cells promote the concanavalin A mitogenic response of la‐negative T cells. European Journal of Immunology. 7(7). 447–450. 25 indexed citations
18.
Niederhuber, John E., et al.. (1976). Effects of anti-Ia sera on mitogenic responses. II. Differential expression of the Ia marker on phytohemagglutinin and concanavalin A-reactive T cells.. The Journal of Experimental Medicine. 143(2). 372–381. 54 indexed citations
19.
David, Chella S., J. A. Frelinger, & Donald C. Shreffler. (1975). Expression of individual Ia specificities on T and B lymphocytes. Federation Proceedings. 34(3). 945. 1 indexed citations
20.
David, Chella S., et al.. (1973). Serologic detection of lymphocyte cell-surface antigens controlled by the Ir region of the H-2 gene complex.. PubMed. 5(4). 1815–6. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026