Jeremy Bender

1.5k total citations
13 papers, 1.3k citations indexed

About

Jeremy Bender is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jeremy Bender has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 4 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Jeremy Bender's work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (5 papers). Jeremy Bender is often cited by papers focused on Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (5 papers). Jeremy Bender collaborates with scholars based in United States and Australia. Jeremy Bender's co-authors include Philippa Marrack, John W. Kappler, Tom Mitchell, T. Kent Teague, Ross M. Kedl, David A. Hildeman, William A. Rees, Brian C. Schaefer, Akemi Sakamoto and Masaaki Murakami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

Jeremy Bender

13 papers receiving 1.3k citations

Peers

Jeremy Bender
Comparison fields: 5 of 75
  • Immunology 1.1k
  • Oncology 264
  • Molecular Biology 227
  • Genetics 69
  • Cancer Research 68
Sergiusz Markowicz Poland
M Indrová Czechia
Simon Hör Germany
Naomi Taylor France
Gloria Kurys United States
Patricia E. Korty United States
Orsalem J. Kahsai United States
H. Robson MacDonald Switzerland
Luigia Pace Italy
Jonathan Sprent United States
Sergiusz Markowicz Poland View profile →
Citations per field, relative to Jeremy Bender
Jeremy Bender · 1×
Citations per year, relative to Jeremy Bender
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Countries citing papers authored by Jeremy Bender

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Bender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Bender

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

All Works

13 of 13 papers shown
# Title Journal Authors Indexed citations
1 Abstract 1481: DAY101, a potent pan-RAF inhibitor with activity in preclinical models harboring MAPK pathway alterations beyond BRAF V600E mutation Cancer Research Eleni Venetsanakos, Jeannie Hou et al. 2
2 Some Properties of T Cells in Animals Advances in experimental medicine and biology Angela Rico de Souza, Bradley Jay Swanson et al. 3
3 Stronger Correlation of bcl‐3 than bcl‐2, bcl‐xL, Costimulation, or Antioxidants with Adjuvant‐Induced T Cell Survival Annals of the New York Academy of Sciences Thomas C. Mitchell, T. Kent Teague et al. 23
4 CD25+CD4+ T cells contribute to the control of memory CD8+ T cells Proceedings of the National Academy of Sciences Masaaki Murakami, Akemi Sakamoto et al. 196
5 Presidential Address to The American Association of Immunologists The Journal of Immunology Philippa Marrack, Jeremy Bender et al. 19
6 Identification and characterization of Magmas, a novel mitochondria-associated protein involved in granulocyte-macrophage colony-stimulating factor signal transduction Experimental Hematology Paul T. Jubinsky, Jeremy Bender et al. 24
7 Homeostasis of αβ TCR+ T cells Nature Immunology Philippa Marrack, Jeremy Bender et al. 216
8 Genomic-scale analysis of gene expression in resting and activated T cells Current Opinion in Immunology Philippa Marrack, Tom Mitchell et al. 46
9 Activation-Induced Inhibition of Interleukin 6–Mediated T Cell Survival and Signal Transducer and Activator of Transcription 1 Signaling The Journal of Experimental Medicine T. Kent Teague, Brian C. Schaefer et al. 85
10 Cd4+ T Cell Division in Irradiated Mice Requires Peptides Distinct from Those Responsible for Thymic Selection The Journal of Experimental Medicine Jeremy Bender, Tom Mitchell et al. 142
11 Activation changes the spectrum but not the diversity of genes expressed by T cells Proceedings of the National Academy of Sciences T. Kent Teague, David A. Hildeman et al. 200
12 An inverse relationship between T cell receptor affinity and antigen dose during CD4+T cell responsesin vivoandin vitro Proceedings of the National Academy of Sciences William A. Rees, Jeremy Bender et al. 237
13 T‐cell survival Immunological Reviews Philippa Marrack, Tom Mitchell et al. 76

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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