Larry Kane

8.7k total citations · 3 hit papers
96 papers, 6.8k citations indexed

About

Larry Kane is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Larry Kane has authored 96 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Immunology, 40 papers in Molecular Biology and 29 papers in Oncology. Recurrent topics in Larry Kane's work include Immune Cell Function and Interaction (39 papers), Galectins and Cancer Biology (34 papers) and T-cell and B-cell Immunology (22 papers). Larry Kane is often cited by papers focused on Immune Cell Function and Interaction (39 papers), Galectins and Cancer Biology (34 papers) and T-cell and B-cell Immunology (22 papers). Larry Kane collaborates with scholars based in United States, China and Germany. Larry Kane's co-authors include Arthur Weiss, David Stokoe, Virginia Smith Shapiro, Robert L. Ferris, Joseph Lin, Ee Wern Su, Stephen Μ. Hedrick, Jing Li, Binfeng Lu and Penelope A. Morel and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Larry Kane

95 papers receiving 6.7k citations

Hit Papers

Induction of NF-κB by the Akt/PKB kinase 1999 2026 2008 2017 1999 2007 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Larry Kane United States 44 4.5k 2.4k 2.2k 761 429 96 6.8k
Allen T. Bruce United States 13 6.5k 1.4× 2.1k 0.9× 4.1k 1.8× 646 0.8× 432 1.0× 16 9.2k
Daniel F. Legler Switzerland 38 4.3k 1.0× 2.1k 0.9× 2.8k 1.3× 572 0.8× 408 1.0× 97 7.2k
Neil C. Rogers United Kingdom 33 5.5k 1.2× 2.2k 1.0× 3.3k 1.5× 644 0.8× 638 1.5× 55 8.3k
Vu N. Ngo United States 28 4.8k 1.1× 2.3k 1.0× 2.3k 1.0× 890 1.2× 370 0.9× 42 7.6k
Michael A. Farrar United States 40 5.0k 1.1× 1.7k 0.7× 1.8k 0.8× 448 0.6× 445 1.0× 88 7.1k
Anna Mondino Italy 39 3.8k 0.8× 2.2k 0.9× 1.9k 0.9× 469 0.6× 349 0.8× 109 6.6k
Sandra Hervás‐Stubbs Spain 39 3.7k 0.8× 2.1k 0.9× 2.8k 1.3× 565 0.7× 723 1.7× 111 6.7k
Christoph Huber Germany 45 5.0k 1.1× 3.3k 1.4× 3.5k 1.6× 504 0.7× 455 1.1× 155 8.6k
Eyad Elkord United Kingdom 41 3.9k 0.9× 2.2k 1.0× 4.3k 2.0× 950 1.2× 490 1.1× 126 7.7k
Frédéric Rieux‐Laucat France 42 4.9k 1.1× 2.8k 1.2× 1.2k 0.5× 455 0.6× 639 1.5× 124 7.7k

Countries citing papers authored by Larry Kane

Since Specialization
Citations

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

Fields of papers citing papers by Larry Kane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry Kane. 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 Larry Kane. The network helps show where Larry Kane may publish in the future.

Co-authorship network of co-authors of Larry Kane

This figure shows the co-authorship network connecting the top 25 collaborators of Larry Kane. A scholar is included among the top collaborators of Larry Kane 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 Larry Kane. Larry Kane 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.
Morder, Kristin M., Ansen B.P. Burr, Bingxian Xie, et al.. (2025). Sucralose Consumption Ablates Cancer Immunotherapy Response through Microbiome Disruption. Cancer Discovery. 15(11). 2278–2297. 2 indexed citations
2.
Lee, Chanju, Hyung-Seok Kim, Hee Jung Yoon, et al.. (2024). TIM-3 on myeloid cells promotes pulmonary inflammation through increased production of galectin-3. Communications Biology. 7(1). 1090–1090. 2 indexed citations
4.
McCulloch, Timothy R., Gustavo Rodrigues Rossi, Pui Yeng Lam, et al.. (2024). Dichotomous outcomes of TNFR1 and TNFR2 signaling in NK cell-mediated immune responses during inflammation. Nature Communications. 15(1). 9871–9871. 10 indexed citations
5.
Peralta, Ronal M., Bingxian Xie, Konstantinos Lontos, et al.. (2024). Dysfunction of exhausted T cells is enforced by MCT11-mediated lactate metabolism. Nature Immunology. 25(12). 2297–2307. 67 indexed citations breakdown →
6.
Zeng, Qiang, Daqiang Zhao, Gang Zhang, et al.. (2023). Tissue-resident memory T cell maintenance during antigen persistence requires both cognate antigen and interleukin-15. Science Immunology. 8(82). eadd8454–eadd8454. 43 indexed citations
7.
Cui, Jian, Andrea L. Szymczak-Workman, Kate M. Vignali, et al.. (2023). IFNγ-induction of TH1-like regulatory T cells controls antiviral responses. Nature Immunology. 24(5). 841–854. 37 indexed citations
8.
Kataoka, Shunsuke, et al.. (2021). The costimulatory activity of Tim-3 requires Akt and MAPK signaling and its recruitment to the immune synapse. Science Signaling. 14(687). 33 indexed citations
9.
Kane, Larry, et al.. (2020). PIK3IP1 Promotes Extrafollicular Class Switching in T-Dependent Immune Responses. The Journal of Immunology. 205(8). 2100–2108. 6 indexed citations
10.
Raphael, Itay, Shankar Revu, Natalie Rittenhouse, et al.. (2020). Noncanonical STAT3 activity sustains pathogenic Th17 proliferation and cytokine response to antigen. The Journal of Experimental Medicine. 217(10). 36 indexed citations
12.
Liu, Zhuqing, Elizabeth L. McMichael, Gulidanna Shayan, et al.. (2018). Novel Effector Phenotype of Tim-3+ Regulatory T Cells Leads to Enhanced Suppressive Function in Head and Neck Cancer Patients. Clinical Cancer Research. 24(18). 4529–4538. 91 indexed citations
13.
Avery, Lyndsay, J Filderman, Andrea L. Szymczak-Workman, & Larry Kane. (2018). Tim-3 co-stimulation promotes short-lived effector T cells, restricts memory precursors, and is dispensable for T cell exhaustion. Proceedings of the National Academy of Sciences. 115(10). 2455–2460. 121 indexed citations
14.
Uche, Uzodinma, et al.. (2018). PIK3IP1/TrIP restricts activation of T cells through inhibition of PI3K/Akt. The Journal of Experimental Medicine. 215(12). 3165–3179. 29 indexed citations
15.
Verma, Akash, Jonathan P. Richardson, Bianca M. Coleman, et al.. (2017). Oral epithelial cells orchestrate innate type 17 responses to Candida albicans through the virulence factor candidalysin. Science Immunology. 2(17). 157 indexed citations
16.
Cruz, J. Agustin, Erin E. Childs, Nilesh Amatya, et al.. (2017). IL-17 Signaling Triggers Degradation of the Constitutive NF-κB Inhibitor ABIN-1. ImmunoHorizons. 1(7). 133–141. 22 indexed citations
17.
Phong, Binh, Lyndsay Avery, Ashley V. Menk, Greg M. Delgoffe, & Larry Kane. (2016). Cutting Edge: Murine Mast Cells Rapidly Modulate Metabolic Pathways Essential for Distinct Effector Functions. The Journal of Immunology. 198(2). 640–644. 37 indexed citations
18.
Li, Jing, Yu L. Lei, Neil Gildener‐Leapman, et al.. (2014). PD-1/SHP-2 Inhibits Tc1/Th1 Phenotypic Responses and the Activation of T Cells in the Tumor Microenvironment. Cancer Research. 75(3). 508–518. 181 indexed citations
19.
Pawaria, Sudesh, Kritika Ramani, Youhua Liu, et al.. (2014). Complement Component C5a Permits the Coexistence of Pathogenic Th17 Cells and Type I IFN in Lupus. The Journal of Immunology. 193(7). 3288–3295. 19 indexed citations
20.
Anderson, Ana C., David E. Anderson, Lisa Bregoli, et al.. (2007). Promotion of Tissue Inflammation by the Immune Receptor Tim-3 Expressed on Innate Immune Cells. Science. 318(5853). 1141–1143. 580 indexed citations breakdown →

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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