Jacob S. Bowers

932 total citations
17 papers, 651 citations indexed

About

Jacob S. Bowers is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jacob S. Bowers has authored 17 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 15 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Jacob S. Bowers's work include CAR-T cell therapy research (13 papers), Immunotherapy and Immune Responses (9 papers) and Immune Cell Function and Interaction (8 papers). Jacob S. Bowers is often cited by papers focused on CAR-T cell therapy research (13 papers), Immunotherapy and Immune Responses (9 papers) and Immune Cell Function and Interaction (8 papers). Jacob S. Bowers collaborates with scholars based in United States, Poland and Russia. Jacob S. Bowers's co-authors include Chrystal M. Paulos, Stefanie R. Bailey, Michelle H. Nelson, Kinga Majchrzak, Mark P. Rubinstein, Jennifer L. Vella, Tamer B. Shabaneh, Aleksey Molodtsov, Mary Jo Turk and Peisheng Zhang and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Cancer Research.

In The Last Decade

Jacob S. Bowers

17 papers receiving 646 citations

Peers

Jacob S. Bowers
Comparison fields: 5 of 59
  • Immunology 479
  • Oncology 418
  • Molecular Biology 139
  • Biomedical Engineering 55
  • Cell Biology 42
Replace Felipe Gálvez‐Cancino with:
Felipe Gálvez‐Cancino Chile
Maxime Dhainaut United States
Karan Kohli United States
Toan Nguyen United States
Long V. Ly Netherlands
María Alejandra Gleisner Chile
Morgane Boulch France
Nadine Fournier Switzerland
Amélien Sanlaville France
Felipe Gálvez‐Cancino Chile View profile →
Citations per field, relative to Jacob S. Bowers
Jacob S. Bowers · 1×
Citations per year, relative to Jacob S. Bowers
Jacob S. Bowers · 1×

Countries citing papers authored by Jacob S. Bowers

Since Specialization
Citations

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

Fields of papers citing papers by Jacob S. Bowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob S. Bowers. 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 Jacob S. Bowers. The network helps show where Jacob S. Bowers may publish in the future.

Co-authorship network of co-authors of Jacob S. Bowers

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 31
2
Identification of human CD4+ T cell populations with distinct antitumor activity
1
3 10
4 1
5 73
6 201
7 6
8 61
9 50
10 35
11 26
12
The Basics of Artificial Antigen Presenting Cells in T Cell-Based Cancer Immunotherapies.
39
13 21
14 37
15 1
16 23
17 35

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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