Benjamin M. Whitlock

1.8k total citations · 2 hit papers
8 papers, 1.2k citations indexed

About

Benjamin M. Whitlock is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Benjamin M. Whitlock has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Benjamin M. Whitlock's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (3 papers). Benjamin M. Whitlock is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (3 papers). Benjamin M. Whitlock collaborates with scholars based in United States, Israel and France. Benjamin M. Whitlock's co-authors include Morgan Huse, Alon Oyler‐Yaniv, Theodoros Giavridis, Farokh Dotiwala, Judy Lieberman, Sjoukje J. C. van der Stegen, Mohamad Hamieh, Annalisa Cabriolu, Jorge Mansilla‐Soto and Lance C. Kam and has published in prestigious journals such as Nature, Cell and Blood.

In The Last Decade

Benjamin M. Whitlock

7 papers receiving 1.2k citations

Hit Papers

CAR T cell trogocytosis and cooperative killing regulate ... 2016 2026 2019 2022 2019 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin M. Whitlock United States 5 710 607 290 252 152 8 1.2k
Lisa Nichols United States 13 479 0.7× 285 0.5× 255 0.9× 104 0.4× 106 0.7× 16 1.0k
Hélène Salmon France 12 974 1.4× 1.1k 1.8× 479 1.7× 183 0.7× 109 0.7× 20 1.8k
Elke Firat Germany 21 561 0.8× 769 1.3× 750 2.6× 143 0.6× 74 0.5× 37 1.6k
Blythe Sather United States 19 1.1k 1.6× 733 1.2× 671 2.3× 135 0.5× 89 0.6× 29 2.0k
Stéphanie Dogniaux France 14 658 0.9× 306 0.5× 205 0.7× 111 0.4× 281 1.8× 18 1.1k
Takuya Nojima Japan 16 754 1.1× 199 0.3× 378 1.3× 135 0.5× 45 0.3× 28 1.3k
Leah V. Sibener United States 12 1.0k 1.5× 644 1.1× 339 1.2× 157 0.6× 35 0.2× 15 1.4k
John T. Kemshead United Kingdom 18 225 0.3× 437 0.7× 464 1.6× 130 0.5× 77 0.5× 35 1.2k
Deborah J. Burt United Kingdom 17 655 0.9× 985 1.6× 368 1.3× 203 0.8× 23 0.2× 24 1.6k

Countries citing papers authored by Benjamin M. Whitlock

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin M. Whitlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin M. Whitlock. 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 Benjamin M. Whitlock. The network helps show where Benjamin M. Whitlock may publish in the future.

Co-authorship network of co-authors of Benjamin M. Whitlock

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

All Works

8 of 8 papers shown
1.
Yang, Bi-Huei, Wen-I Yeh, Mochtar Pribadi, et al.. (2021). Combination of Three Unique Anti-Tumor Modalities Engineered into iPSC-Derived T Cells Demonstrate a Synergistic Effect in Overcoming Tumor Heterogeneity and Cancer Escape. Blood. 138(Supplement 1). 2793–2793. 4 indexed citations
2.
Petrovic, Roseanna M., Benjamin M. Whitlock, Raedun Clarke, et al.. (2020). NOTCH and CAR Signaling Control T Cell Lineage Commitment from Pluripotent Stem Cells. Blood. 136(Supplement 1). 30–30. 2 indexed citations
3.
Adams, Nicholas M., Clair D. Geary, Endi K. Santosa, et al.. (2019). Cytomegalovirus Infection Drives Avidity Selection of Natural Killer Cells. Immunity. 50(6). 1381–1390.e5. 46 indexed citations
4.
Hamieh, Mohamad, Anton Dobrin, Annalisa Cabriolu, et al.. (2019). CAR T cell trogocytosis and cooperative killing regulate tumour antigen escape. Nature. 568(7750). 112–116. 451 indexed citations breakdown →
5.
Adams, Nicholas M., Dianne Lumaquin, Benjamin M. Whitlock, et al.. (2019). Cytomegalovirus infection drives avidity selection of natural killer cells. The Journal of Immunology. 202(1_Supplement). 76.3–76.3.
6.
Oyler‐Yaniv, Alon, Jennifer E. Oyler, Benjamin M. Whitlock, et al.. (2017). A Tunable Diffusion-Consumption Mechanism of Cytokine Propagation Enables Plasticity in Cell-to-Cell Communication in the Immune System. Immunity. 46(4). 609–620. 135 indexed citations
7.
Basu, Roshni, Benjamin M. Whitlock, Julien Husson, et al.. (2016). Cytotoxic T Cells Use Mechanical Force to Potentiate Target Cell Killing. Cell. 165(1). 100–110. 345 indexed citations breakdown →
8.
Dadi, Saïda, Sagar Chhangawala, Benjamin M. Whitlock, et al.. (2016). Cancer Immunosurveillance by Tissue-Resident Innate Lymphoid Cells and Innate-like T Cells. Cell. 164(3). 365–377. 255 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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