Benjamin G. Vincent

18.9k total citations · 3 hit papers
104 papers, 5.3k citations indexed

About

Benjamin G. Vincent is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Benjamin G. Vincent has authored 104 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Immunology, 45 papers in Oncology and 23 papers in Molecular Biology. Recurrent topics in Benjamin G. Vincent's work include Immunotherapy and Immune Responses (34 papers), Cancer Immunotherapy and Biomarkers (30 papers) and Immune Cell Function and Interaction (26 papers). Benjamin G. Vincent is often cited by papers focused on Immunotherapy and Immune Responses (34 papers), Cancer Immunotherapy and Biomarkers (30 papers) and Immune Cell Function and Interaction (26 papers). Benjamin G. Vincent collaborates with scholars based in United States, Germany and France. Benjamin G. Vincent's co-authors include Jonathan S. Serody, Christof C. Smith, Joel S. Parker, Shengjie Chai, Charles M. Perou, Andrew Z. Wang, Michael D. Iglesia, Sara R. Selitsky, Katherine A. Hoadley and Kyle C. Roche and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Benjamin G. Vincent

97 papers receiving 5.3k citations

Hit Papers

align trajectories

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.

Antigen-capturing nanoparticles improve the abscopal effect and cancer immunotherapy

2017 590 citations Karen P. McKinnon, Shengjie Chai et al. profile →
STING-induced regulatory B cells compromise NK function in cancer immunity

2022 213 citations Bhalchandra Mirlekar, Benjamin G. Vincent et al. profile →
B Cell Function in the Tumor Microenvironment

2022 193 citations Benjamin G. Vincent, Jonathan S. Serody et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin G. Vincent United States	34	3.0k	2.6k	1.7k	874	748	104	5.3k
Jitka Fučíková Czechia	37	3.6k 1.2×	2.8k 1.1×	1.5k 0.9×	767 0.9×	637 0.9×	70	5.6k
Radek Špíšek Czechia	45	4.8k 1.6×	3.3k 1.3×	1.9k 1.1×	829 0.9×	764 1.0×	134	7.6k
María E. Rodríguez-Ruiz Spain	34	3.6k 1.2×	4.0k 1.6×	1.3k 0.8×	616 0.7×	880 1.2×	89	6.3k
Daniela Bruni France	11	2.2k 0.7×	2.7k 1.1×	1.2k 0.7×	514 0.6×	944 1.3×	13	4.4k
Eyad Elkord United Kingdom	41	3.9k 1.3×	4.3k 1.7×	2.2k 1.3×	443 0.5×	1.1k 1.5×	126	7.7k
Tetsuya Nakatsura Japan	37	1.8k 0.6×	2.1k 0.8×	2.3k 1.3×	575 0.7×	368 0.5×	139	5.0k
Pedro Berraondo Spain	36	3.3k 1.1×	2.9k 1.1×	1.8k 1.1×	463 0.5×	451 0.6×	164	5.9k
Hua Liang China	29	4.1k 1.4×	4.1k 1.6×	2.2k 1.3×	510 0.6×	1.2k 1.7×	79	7.9k
Liufu Deng China	22	4.5k 1.5×	4.0k 1.5×	1.8k 1.1×	500 0.6×	1.2k 1.6×	34	7.3k
Miguel F. Sanmamed Spain	40	5.0k 1.6×	5.6k 2.2×	2.5k 1.5×	751 0.9×	1.5k 2.0×	115	9.3k

Countries citing papers authored by Benjamin G. Vincent

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin G. Vincent

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin G. Vincent

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin G. Vincent. A scholar is included among the top collaborators of Benjamin G. Vincent 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 G. Vincent. Benjamin G. Vincent 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

Patel, Shetal, Young E. Whang, Kevin Chen, et al.. (2024). Tarlatamab for Large Cell Neuroendocrine Carcinoma in a Young Adult: A Case Report. JTO Clinical and Research Reports. 5(10). 100712–100712. 5 indexed citations

Wobker, Sara E., Jeffrey S. Damrauer, Bentley R. Midkiff, et al.. (2023). Spatial Relationships in the Tumor Microenvironment Demonstrate Association with Pathologic Response to Neoadjuvant Chemoimmunotherapy in Muscle-invasive Bladder Cancer. European Urology. 85(3). 242–253. 11 indexed citations

Lee, Jin Seok, et al.. (2023). ACE configurator for ELISpot: optimizing combinatorial design of pooled ELISpot assays with an epitope similarity model. Briefings in Bioinformatics. 25(1). 2 indexed citations

Damrauer, Jeffrey S., Jeffrey A. Klomp, Mi Zhou, et al.. (2022). Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer. Nature Communications. 13(1). 6658–6658. 27 indexed citations

Bortone, Dante S., Mark G. Woodcock, Joel S. Parker, & Benjamin G. Vincent. (2020). Improved T-cell Receptor Diversity Estimates Associate with Survival and Response to Anti–PD-1 Therapy. Cancer Immunology Research. 9(1). 103–112. 13 indexed citations

Mirlekar, Bhalchandra, Daniel Michaud, Samuel Lee, et al.. (2020). B cell–Derived IL35 Drives STAT3-Dependent CD8+ T-cell Exclusion in Pancreatic Cancer. Cancer Immunology Research. 8(3). 292–308. 92 indexed citations

Weiss, Jared, Siddharth Sheth, Allison M. Deal, et al.. (2020). Concurrent Definitive Immunoradiotherapy for Patients with Stage III–IV Head and Neck Cancer and Cisplatin Contraindication. Clinical Cancer Research. 26(16). 4260–4267. 29 indexed citations

Beckermann, Kathryn E., Rachel A. Hongo, Xiang Ye, et al.. (2020). CD28 costimulation drives tumor-infiltrating T cell glycolysis to promote inflammation. JCI Insight. 5(16). 72 indexed citations

Landoni, Elisa, Christof C. Smith, Giovanni Fucà, et al.. (2019). A High-Avidity T-cell Receptor Redirects Natural Killer T-cell Specificity and Outcompetes the Endogenous Invariant T-cell Receptor. Cancer Immunology Research. 8(1). 57–69. 12 indexed citations

10.

Smith, Christof C., Shengjie Chai, Samuel Lee, et al.. (2019). Machine-Learning Prediction of Tumor Antigen Immunogenicity in the Selection of Therapeutic Epitopes. Cancer Immunology Research. 7(10). 1591–1604. 47 indexed citations

11.

Raval, Jay S., Yara A. Park, Marshall Mazepa, et al.. (2019). Heparin‐induced thrombocytopenia associated with collection of hematopoietic progenitor cells by apheresis. Journal of Clinical Apheresis. 35(1). 59–61. 2 indexed citations

12.

Smithey, Megan J., Vanessa Venturi, Miles P. Davenport, et al.. (2018). Lifelong CMV infection improves immune defense in old mice by broadening the mobilized TCR repertoire against third-party infection. Proceedings of the National Academy of Sciences. 115(29). E6817–E6825. 32 indexed citations

13.

Chen, Yu‐Hui, Christof C. Smith, Stephanie A. Montgomery, et al.. (2018). CD30-Redirected Chimeric Antigen Receptor T Cells Target CD30+ and CD30− Embryonal Carcinoma via Antigen-Dependent and Fas/FasL Interactions. Cancer Immunology Research. 6(10). 1274–1287. 59 indexed citations

14.

Saito, Ryoichi, Christof C. Smith, Takanobu Utsumi, et al.. (2018). Molecular Subtype-Specific Immunocompetent Models of High-Grade Urothelial Carcinoma Reveal Differential Neoantigen Expression and Response to Immunotherapy. Cancer Research. 78(14). 3954–3968. 68 indexed citations

15.

Davis, Jessica, Anastasia Ivanova, Yunro Chung, et al.. (2018). Evaluation of a Test Dose Strategy for Pharmacokinetically-Guided Busulfan Dosing for Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 25(2). 391–397. 8 indexed citations

16.

Siska, Peter J., Kathryn E. Beckermann, Frank M. Mason, et al.. (2017). Mitochondrial dysregulation and glycolytic insufficiency functionally impair CD8 T cells infiltrating human renal cell carcinoma. JCI Insight. 2(12). 274 indexed citations

17.

Buchkovich, Martin L., Chad Brown, Kimberly Robasky, et al.. (2017). HLAProfiler utilizes k-mer profiles to improve HLA calling accuracy for rare and common alleles in RNA-seq data. Genome Medicine. 9(1). 86–86. 33 indexed citations

18.

Zeidner, Joshua F., Benjamin G. Vincent, Anastasia Ivanova, et al.. (2017). Phase II Study of High Dose Cytarabine Followed By Pembrolizumab in Relapsed/Refractory Acute Myeloid Leukemia (AML). Blood. 130. 1349–1349. 10 indexed citations

19.

Montfort, Anne, Oliver M.T. Pearce, Eleni Maniati, et al.. (2016). A Strong B-cell Response Is Part of the Immune Landscape in Human High-Grade Serous Ovarian Metastases. Clinical Cancer Research. 23(1). 250–262. 172 indexed citations

20.

Iglesia, Michael D., Benjamin G. Vincent, Joel S. Parker, et al.. (2014). Prognostic B-cell Signatures Using mRNA-Seq in Patients with Subtype-Specific Breast and Ovarian Cancer. Clinical Cancer Research. 20(14). 3818–3829. 194 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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