Steven J. Bensinger

10.9k total citations · 6 hit papers
77 papers, 6.8k citations indexed

About

Steven J. Bensinger is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Steven J. Bensinger has authored 77 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 34 papers in Molecular Biology and 20 papers in Surgery. Recurrent topics in Steven J. Bensinger's work include Immune Cell Function and Interaction (25 papers), Cholesterol and Lipid Metabolism (18 papers) and Cancer, Lipids, and Metabolism (11 papers). Steven J. Bensinger is often cited by papers focused on Immune Cell Function and Interaction (25 papers), Cholesterol and Lipid Metabolism (18 papers) and Cancer, Lipids, and Metabolism (11 papers). Steven J. Bensinger collaborates with scholars based in United States, Canada and Italy. Steven J. Bensinger's co-authors include Peter Tontonoz, Yoko Kidani, Heather R. Christofk, Edith M. Janssen, Laurence A. Turka, Kevin J. Williams, Peter A. Edwards, Michelle N. Bradley, Noam Zelcer and John S. Parks and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Steven J. Bensinger

74 papers receiving 6.8k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integration of metabolism and inflammation by lipid-activated nuclear receptors

2008 670 citations Steven J. Bensinger, Peter Tontonoz Nature profile →
LXR Signaling Couples Sterol Metabolism to Proliferation in the Acquired Immune Response

2008 555 citations Steven J. Bensinger, Michelle N. Bradley et al. Cell profile →
Apoptotic Cells Promote Their Own Clearance and Immune Tolerance through Activation of the Nuclear Receptor LXR

2009 544 citations Noelia A-González, Steven J. Bensinger et al. profile →
Sterol regulatory element–binding proteins are essential for the metabolic programming of effector T cells and adaptive immunity

2013 419 citations Yoko Kidani, Kevin J. Williams et al. profile →
IL-10 constrains sphingolipid metabolism to limit inflammation

2024 113 citations Autumn G. York, Mathias Skadow et al. Nature profile →
CDKN2A deletion remodels lipid metabolism to prime glioblastoma for ferroptosis

2023 102 citations Danielle Morrow, Nicholas Bayley et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven J. Bensinger United States	38	3.5k	2.5k	1.2k	1.0k	1.0k	77	6.8k
Jan Van den Bossche Netherlands	37	4.8k 1.4×	2.7k 1.1×	730 0.6×	1.4k 1.4×	944 0.9×	90	7.7k
Andreas J. R. Habenicht Germany	41	3.0k 0.8×	2.5k 1.0×	1.0k 0.8×	894 0.9×	648 0.6×	108	7.0k
David K. Finlay Ireland	38	4.8k 1.4×	2.2k 0.9×	431 0.3×	1.5k 1.4×	1.2k 1.1×	64	7.1k
Ruoning Wang United States	35	3.9k 1.1×	3.6k 1.4×	450 0.4×	1.4k 1.4×	1.6k 1.5×	70	7.8k
Andrew N. Macintyre United States	18	3.3k 1.0×	2.3k 0.9×	344 0.3×	1.1k 1.1×	1.5k 1.4×	46	5.9k
Julianna Blagih Canada	23	3.2k 0.9×	3.2k 1.3×	380 0.3×	1.4k 1.3×	2.0k 1.9×	29	6.8k
Takahiro Kodama Japan	39	1.3k 0.4×	2.4k 0.9×	848 0.7×	824 0.8×	895 0.9×	176	5.8k
Shabnam Shalapour United States	26	2.0k 0.6×	2.8k 1.1×	577 0.5×	1.7k 1.6×	975 0.9×	40	6.0k
Peter J. Gough United States	45	4.4k 1.3×	6.0k 2.4×	655 0.5×	1.5k 1.4×	1.4k 1.4×	80	9.6k
Andreas Weigert Germany	46	3.3k 1.0×	3.5k 1.4×	379 0.3×	1.3k 1.3×	1.1k 1.1×	203	7.2k

Countries citing papers authored by Steven J. Bensinger

Since Specialization

Citations

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

Fields of papers citing papers by Steven J. Bensinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven J. Bensinger

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

All Works

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20 of 20 papers shown

Sammarco, Alessandro, Qiao Yu, Kevin Jon Williams, et al.. (2025). Targeting SCD triggers lipotoxicity of cancer cells and enhances anti-tumor immunity in breast cancer brain metastasis mouse models. Communications Biology. 8(1). 562–562.

Chan, Hung, Fengwu Li, Tatsuya Dokoshi, et al.. (2025). Psychological stress increases skin infection through the action of TGFβ to suppress immune-acting fibroblasts. Science Immunology. 10(106). eads0519–eads0519. 1 indexed citations

Jones, Anthony E., Wei Yuan Hsieh, Brandon R. Desousa, et al.. (2025). Pro-inflammatory macrophage activation does not require inhibition of oxidative phosphorylation. EMBO Reports. 26(4). 982–1002. 4 indexed citations

Gao, Yajing, John P. Kennelly, Xiao Xu, et al.. (2025). T cell cholesterol transport links intestinal immune responses to dietary lipid absorption. Science. 390(6769). eadt4169–eadt4169. 1 indexed citations

York, Autumn G., Mathias Skadow, Joonseok Oh, et al.. (2024). IL-10 constrains sphingolipid metabolism to limit inflammation. Nature. 627(8004). 628–635. 113 indexed citations breakdown →

Reina‐Campos, Miguel, Maximilian Heeg, Ian T. Mathews, et al.. (2023). Metabolic programs of T cell tissue residency empower tumour immunity. Nature. 621(7977). 179–187. 73 indexed citations

Desousa, Brandon R., Kristen K.O. Kim, Anthony E. Jones, et al.. (2023). Calculation of ATP production rates using the Seahorse XF Analyzer. EMBO Reports. 24(10). e56380–e56380. 41 indexed citations

Sammarco, Alessandro, Litia Carvalho, Daniel F. Tardiff, et al.. (2023). Targeting de novo lipid synthesis induces lipotoxicity and impairs DNA damage repair in glioblastoma mouse models. Science Translational Medicine. 15(679). eabq6288–eabq6288. 29 indexed citations

Cau, Laura, Kellen Cavagnero, Alan M. O’Neill, et al.. (2023). Commensal Cutibacterium acnes induce epidermal lipid synthesis important for skin barrier function. Science Advances. 9(33). eadg6262–eadg6262. 73 indexed citations

10.

Morrow, Danielle, Nicholas Bayley, Elízabeth Fernández, et al.. (2023). TMET-12. CDKN2A DELETION REMODELS LIPID METABOLISM TO PRIME GLIOBLASTOMA FOR FERROPTOSIS. Neuro-Oncology. 25(Supplement_5). v275–v275. 1 indexed citations

11.

Bhat, Kruttika, Fei Cheng, Ling He, et al.. (2021). Dopamine Receptor Antagonists, Radiation, and Cholesterol Biosynthesis in Mouse Models of Glioblastoma. JNCI Journal of the National Cancer Institute. 113(8). 1094–1104. 24 indexed citations

12.

Flóres, Yvonne N., Baolong Su, Rafael Velázquez‐Cruz, et al.. (2021). Serum lipids are associated with nonalcoholic fatty liver disease: a pilot case-control study in Mexico. Lipids in Health and Disease. 20(1). 136–136. 11 indexed citations

13.

Lee, Alex, Lu Sun, Aaron Mochizuki, et al.. (2021). Neoadjuvant PD-1 blockade induces T cell and cDC1 activation but fails to overcome the immunosuppressive tumor associated macrophages in recurrent glioblastoma. Nature Communications. 12(1). 6938–6938. 135 indexed citations

14.

Kidani, Yoko & Steven J. Bensinger. (2017). Reviewing the impact of lipid synthetic flux on Th17 function. Current Opinion in Immunology. 46. 121–126. 16 indexed citations

15.

Hong, Cynthia, Yoko Kidani, Noelia A-González, et al.. (2011). Coordinate regulation of neutrophil homeostasis by liver X receptors in mice. Journal of Clinical Investigation. 122(1). 337–347. 116 indexed citations

16.

Bensinger, Steven J., Michelle N. Bradley, Sean B. Joseph, et al.. (2008). LXR Signaling Couples Sterol Metabolism to Proliferation in the Acquired Immune Response. Cell. 134(1). 97–111. 555 indexed citations breakdown →

17.

Eck, Steven, Peimin Zhu, Marion Pepper, et al.. (2006). Developmental Alterations in Thymocyte Sensitivity Are Actively Regulated by MHC Class II Expression in the Thymic Medulla. The Journal of Immunology. 176(4). 2229–2237. 18 indexed citations

18.

Bensinger, Steven J., Patrick Walsh, Jidong Zhang, et al.. (2004). Distinct IL-2 Receptor Signaling Pattern in CD4+CD25+ Regulatory T Cells. The Journal of Immunology. 172(9). 5287–5296. 229 indexed citations

19.

Burchill, Matthew A., Christine Goetz, Martin Prlic, et al.. (2003). Distinct Effects of STAT5 Activation on CD4+ and CD8+ T Cell Homeostasis: Development of CD4+CD25+ Regulatory T Cells versus CD8+ Memory T Cells. The Journal of Immunology. 171(11). 5853–5864. 169 indexed citations

20.

Wekerle, Thomas, Josef Kurtz, Mohamed H. Sayegh, et al.. (2001). Peripheral Deletion After Bone Marrow Transplantation with Costimulatory Blockade Has Features of Both Activation-Induced Cell Death and Passive Cell Death. The Journal of Immunology. 166(4). 2311–2316. 105 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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