David Kugler

2.5k total citations
18 papers, 2.0k citations indexed

About

David Kugler is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, David Kugler has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 8 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in David Kugler's work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (5 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). David Kugler is often cited by papers focused on Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (5 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). David Kugler collaborates with scholars based in United States, Germany and United Kingdom. David Kugler's co-authors include Joel Tocker, Dragana Janković, Jacques J. Peschon, A Sher, Jonathan M.J. Derry, Jesse L. Gurgel, Martin F. Wolfson, Dean Toy, Tim Vanden Bos and Alan Sher and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

David Kugler

18 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kugler United States 12 1.4k 445 338 268 267 18 2.0k
Corinna F. Brereton Ireland 8 1.9k 1.4× 465 1.0× 303 0.9× 229 0.9× 244 0.9× 9 2.5k
Allen W. Ho United States 17 1.0k 0.7× 410 0.9× 222 0.7× 428 1.6× 182 0.7× 43 2.0k
Loredana Frasca Italy 24 2.5k 1.7× 637 1.4× 288 0.9× 315 1.2× 298 1.1× 50 3.2k
Omar Duramad United States 14 2.3k 1.6× 605 1.4× 300 0.9× 280 1.0× 395 1.5× 19 3.2k
John Simard United States 17 1.9k 1.3× 684 1.5× 548 1.6× 229 0.9× 320 1.2× 24 3.0k
Robert Kastelein United States 14 1.4k 1.0× 374 0.8× 488 1.4× 278 1.0× 151 0.6× 22 2.0k
David Sehy United States 8 2.1k 1.5× 354 0.8× 564 1.7× 323 1.2× 205 0.8× 14 2.8k
Venetia Bigley United Kingdom 21 2.2k 1.6× 677 1.5× 631 1.9× 314 1.2× 96 0.4× 39 3.2k
Anneli Jäger United States 7 2.6k 1.8× 356 0.8× 515 1.5× 198 0.7× 202 0.8× 8 3.3k
Jérémy Di Domizio Switzerland 18 1.6k 1.1× 677 1.5× 341 1.0× 197 0.7× 222 0.8× 32 2.2k

Countries citing papers authored by David Kugler

Since Specialization
Citations

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

Fields of papers citing papers by David Kugler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kugler

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

All Works

18 of 18 papers shown
1.
2.
Nix, Matthew A., Caleb A. Lareau, Jeffrey M. Verboon, & David Kugler. (2024). Identifying optimal tumor-associated antigen combinations with single-cell genomics to enable multi-targeting therapies. Frontiers in Immunology. 15. 1492782–1492782. 4 indexed citations
3.
Kugler, David, et al.. (2023). T cell intrinsic STAT1 signaling prevents aberrant Th1 responses during acute toxoplasmosis. Frontiers in Immunology. 14. 1212190–1212190. 2 indexed citations
4.
Poltorak, Mateusz P., Patricia Graef, Claudia Tschulik, et al.. (2020). Expamers: a new technology to control T cell activation. Scientific Reports. 10(1). 17832–17832. 24 indexed citations
5.
Works, Melissa, Neha Soni, Jon C. Jones, et al.. (2019). Anti–B-cell Maturation Antigen Chimeric Antigen Receptor T cell Function against Multiple Myeloma Is Enhanced in the Presence of Lenalidomide. Molecular Cancer Therapeutics. 18(12). 2246–2257. 72 indexed citations
6.
Works, Melissa, Neha Soni, Jon C. Jones, et al.. (2017). Lenalidomide Enhances Anti-BCMA Chimeric Antigen Receptor T Cell Function Against Multiple Myeloma. Blood. 130. 1794–1794. 2 indexed citations
7.
Kugler, David, Francis A. Flomerfelt, Diego L. Costa, et al.. (2016). Systemic toxoplasma infection triggers a long-term defect in the generation and function of naive T lymphocytes. The Journal of Experimental Medicine. 213(13). 3041–3056. 25 indexed citations
8.
Du, Fang, Abhishek V. Garg, Saikat Majumder, et al.. (2016). Inflammatory Th17 Cells Express Integrin αvβ3 for Pathogenic Function. Cell Reports. 16(5). 1339–1351. 35 indexed citations
9.
Kugler, David, Sébastien This, Jaime De Calisto, et al.. (2016). β8 Integrin Expression and Activation of TGF-β by Intestinal Dendritic Cells Are Determined by Both Tissue Microenvironment and Cell Lineage. The Journal of Immunology. 197(5). 1968–1978. 50 indexed citations
10.
Escobar, Thelma M., Chrysi Kanellopoulou, David Kugler, et al.. (2014). miR-155 Activates Cytokine Gene Expression in Th17 Cells by Regulating the DNA-Binding Protein Jarid2 to Relieve Polycomb-Mediated Repression. Immunity. 40(6). 865–879. 150 indexed citations
11.
Kugler, David, Paul R. Mittelstadt, Jonathan D. Ashwell, Alan Sher, & Dragana Janković. (2013). CD4+ T cells are trigger and target of the glucocorticoid response that prevents lethal immunopathology in toxoplasma infection. The Journal of Experimental Medicine. 210(10). 1919–1927. 48 indexed citations
12.
Mayer-Barber, Katrin D., Daniel L. Barber, Kevin Shenderov, et al.. (2010). Caspase-1 independent IL-1β Production is critical for MyD88-mediated host resistance to Mycobacterium tuberculosis (42.13). The Journal of Immunology. 184(Supplement_1). 42.13–42.13. 1 indexed citations
13.
Mayer-Barber, Katrin D., Daniel L. Barber, Kevin Shenderov, et al.. (2010). Cutting Edge: Caspase-1 Independent IL-1β Production Is Critical for Host Resistance to Mycobacterium tuberculosis and Does Not Require TLR Signaling In Vivo. The Journal of Immunology. 184(7). 3326–3330. 372 indexed citations
14.
Janković, Dragana, David Kugler, & A Sher. (2010). IL-10 production by CD4+ effector T cells: a mechanism for self-regulation. Mucosal Immunology. 3(3). 239–246. 191 indexed citations
15.
Rickel, Erika, Lori Siegel, James B. Rottman, et al.. (2008). Identification of Functional Roles for Both IL-17RB and IL-17RA in Mediating IL-25-Induced Activities. The Journal of Immunology. 181(6). 4299–4310. 268 indexed citations
16.
Rickel, Erika, Lori Siegel, James B. Rottman, et al.. (2008). 217 Identification of functional roles for both IL-17RB and IL-17RA in mediating IL-25 induced activities. Cytokine. 43(3). 291–291. 7 indexed citations
17.
Blumberg, Hal, Huyen Dinh, Esther S. Trueblood, et al.. (2007). Opposing activities of two novel members of the IL-1 ligand family regulate skin inflammation. The Journal of Experimental Medicine. 204(11). 2603–2614. 283 indexed citations
18.
Toy, Dean, David Kugler, Martin F. Wolfson, et al.. (2006). Cutting Edge: Interleukin 17 Signals through a Heteromeric Receptor Complex. The Journal of Immunology. 177(1). 36–39. 465 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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