John T. Kung

2.3k total citations
58 papers, 1.9k citations indexed

About

John T. Kung is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, John T. Kung has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Immunology, 14 papers in Oncology and 11 papers in Molecular Biology. Recurrent topics in John T. Kung's work include T-cell and B-cell Immunology (34 papers), Immune Cell Function and Interaction (32 papers) and Immunotherapy and Immune Responses (22 papers). John T. Kung is often cited by papers focused on T-cell and B-cell Immunology (34 papers), Immune Cell Function and Interaction (32 papers) and Immunotherapy and Immune Responses (22 papers). John T. Kung collaborates with scholars based in United States, Taiwan and France. John T. Kung's co-authors include Fred D. Finkelman, J J Mond, William E. Paul, David W. Talmage, Betty A. Wu‐Hsieh, Yang‐Ding Lin, Florence M. Hofman, Anthony DeFranco, C.A. Thomas and James Jakway and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

John T. Kung

56 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John T. Kung United States 23 1.1k 501 347 294 232 58 1.9k
Miren L. Baroja Canada 27 1.2k 1.1× 859 1.7× 437 1.3× 198 0.7× 205 0.9× 45 2.4k
Eitan Yefenof Israel 28 1.2k 1.1× 684 1.4× 684 2.0× 296 1.0× 190 0.8× 114 2.4k
Sylvie Cayphas Belgium 14 1.3k 1.2× 716 1.4× 653 1.9× 260 0.9× 194 0.8× 16 2.5k
R. B. Nussenblatt United States 23 1.1k 1.0× 432 0.9× 300 0.9× 246 0.8× 79 0.3× 45 2.8k
Jacques Thibodeau Canada 26 1.6k 1.5× 793 1.6× 494 1.4× 147 0.5× 159 0.7× 80 2.5k
L P Svedersky United States 9 1.4k 1.3× 606 1.2× 326 0.9× 232 0.8× 129 0.6× 11 2.2k
S Gillis United States 18 1.1k 1.0× 405 0.8× 369 1.1× 241 0.8× 89 0.4× 33 1.8k
Hilary S. Warren Australia 24 1.9k 1.8× 506 1.0× 380 1.1× 140 0.5× 88 0.4× 66 2.7k
Lorraine T. Tygrett United States 20 1.6k 1.5× 493 1.0× 295 0.9× 89 0.3× 132 0.6× 25 2.2k
Hironori Matsuda Japan 19 1.5k 1.4× 307 0.6× 594 1.7× 165 0.6× 123 0.5× 39 2.4k

Countries citing papers authored by John T. Kung

Since Specialization
Citations

This map shows the geographic impact of John T. Kung'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 T. Kung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Kung more than expected).

Fields of papers citing papers by John T. Kung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John T. Kung

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Kung. A scholar is included among the top collaborators of John T. Kung 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 T. Kung. John T. Kung 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.
Kuo, Lu-Cheng, Been‐Ren Lin, Hung‐Ju Lin, et al.. (2021). CD28 engagement inhibits CD73-mediated regulatory activity of CD8+ T cells. Communications Biology. 4(1). 595–595. 5 indexed citations
2.
Lee, Tsung-Lin, Mei‐Ling Chang, Tomasz Sosinowski, et al.. (2015). An Alternatively Spliced IL-15 Isoform Modulates Abrasion-Induced Keratinocyte Activation. Journal of Investigative Dermatology. 135(5). 1329–1337. 6 indexed citations
3.
Hwang‐Verslues, Wendy W., Wen‐Hung Kuo, Hsing‐Hui Wang, et al.. (2009). Multiple Lineages of Human Breast Cancer Stem/Progenitor Cells Identified by Profiling with Stem Cell Markers. PLoS ONE. 4(12). e8377–e8377. 172 indexed citations
4.
Sharma, Rahul, John T. Kung, Umesh S. Deshmukh, et al.. (2008). Pervasive and stochastic changes in the TCR repertoire of regulatory T-cell-deficient mice. International Immunology. 20(4). 517–523. 9 indexed citations
5.
Kung, John T., et al.. (2007). IL-4 inducibility in NKT cells, naïve CD4+ T cells and TCR-γ δ T cells. Journal of Biomedical Science. 14(4). 533–538. 3 indexed citations
6.
Chao, Tai‐Kuang, A Rifai, Shuk‐Man Ka, et al.. (2006). The endogenous immune response modulates the course of IgA-immune complex mediated nephropathy. Kidney International. 70(2). 283–297. 25 indexed citations
7.
8.
Hung, Jung‐Tung, Shu–Fen Wu, Tsung-Hsien Chang, et al.. (2005). Immunopathogenic role of TH1 cells in autoimmune diabetes: Evidence from a T1 and T2 doubly transgenic non-obese diabetic mouse model. Journal of Autoimmunity. 25(3). 181–192. 28 indexed citations
9.
Chang, Mei‐Ling, Yi-Ting Chen, Yu‐Chia Su, & John T. Kung. (2003). Cytotoxic T lymphocytes generated by short-term in vitro TCR stimulation in the presence of IL-4 are therapeutically effective against B16 melanoma. Journal of Biomedical Science. 10(6). 644–650. 2 indexed citations
10.
Chang, Mei‐Ling, Yi-Ting Chen, Yu‐Chia Su, & John T. Kung. (2003). Cytotoxic T Lymphocytes Generated by Short-Term in vitro TCR Stimulation in the Presence of IL-4 Are Therapeutically Effective against B16 Melanoma. Journal of Biomedical Science. 10(6). 644–650. 2 indexed citations
11.
Jodo, Satoshi, John T. Kung, Sheng Xiao, et al.. (2003). Anti-CD95-induced Lethality Requires Radioresistant FcγRII+ Cells. Journal of Biological Chemistry. 278(9). 7553–7557. 20 indexed citations
12.
Lin, Kai‐Wei, Shu-Ching Chen, Fu‐Hsiung Chang, et al.. (2002). The roles of interleukin-1 and interleukin-1 receptor antagonist in antigen-specific immune responses. Journal of Biomedical Science. 9(1). 26–33. 10 indexed citations
13.
Chen, Yi-Ting, et al.. (1999). Age-Associated Rapid and Stat6-Independent IL-4 Production by NK1−CD4+8− Thymus T Lymphocytes. The Journal of Immunology. 163(9). 4747–4753. 10 indexed citations
14.
Kung, John T., D I Beller, & Shyr‐Te Ju. (1998). Lymphokine Regulation of Activation-Induced Apoptosis in T Cells of IL-2 and IL-2Rβ Knockout Mice. Cellular Immunology. 185(2). 158–163. 23 indexed citations
15.
Kornman, Kenneth S., et al.. (1994). Host Responses in Patients With Generalized Refractory Periodontitis. Journal of Periodontology. 65(1). 8–16. 66 indexed citations
16.
Kung, John T., et al.. (1991). Isolation and properties of a Lyt-2.1-negative mutant of a Lyt-2.1/Lyt-2.2 CTL line. Immunogenetics. 34(1). 42–51. 2 indexed citations
17.
Kung, John T.. (1988). Impaired clonal expansion in athymic nude CD8+CD4- T cells.. The Journal of Immunology. 140(11). 3727–3735. 21 indexed citations
18.
Kung, John T., Susan O. Sharrow, Aftab Ahmed, et al.. (1982). B lymphocyte subpopulation defined by a rat monoclonal antibody, 14G8.. The Journal of Immunology. 128(5). 2049–2056. 20 indexed citations
19.
Kung, John T., S O Sharrow, Donna G. Sieckmann, R Lieberman, & W E Paul. (1981). A mouse IgM allotypic determinant (Igh-6.5) recognized by a monoclonal rat antibody.. The Journal of Immunology. 127(3). 873–876. 84 indexed citations
20.
Kung, John T., et al.. (1977). Suppression of in vitro cytotoxic response by macrophages due to induced arginase.. The Journal of Experimental Medicine. 146(3). 665–672. 157 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

Breakdown of academic impact, for papers by Miren L. Baroja Breakdown of academic impact, for papers by Eitan Yefenof Breakdown of academic impact, for papers by Sylvie Cayphas Breakdown of academic impact, for papers by R. B. Nussenblatt Breakdown of academic impact, for papers by Jacques Thibodeau Breakdown of academic impact, for papers by L P Svedersky Breakdown of academic impact, for papers by S Gillis Breakdown of academic impact, for papers by Hilary S. Warren Breakdown of academic impact, for papers by Lorraine T. Tygrett Breakdown of academic impact, for papers by Hironori Matsuda
Rankless by CCL
2026