Thomas P. Brouwer

2.2k citations
8 papers · 316 · h-index 6

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • Immunotherapy and Immune Responses

Papers in

    • Pancreatic and Hepatic Oncology Research 4
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2
    • Single-cell and spatial transcriptomics 1

Thomas P. Brouwer

8 papers receiving 309 citations

Peers

Thomas P. Brouwer
Comparison fields: 5 of 47
  • Oncology 142
  • Immunology 103
  • Molecular Biology 191
  • Biotechnology 10
  • Cancer Research 16
Replace Kirsten A. Ward‐Hartstonge with:
Kirsten A. Ward‐Hartstonge New Zealand
Yoko Nishiga United States
Rohit Kumar Singh South Korea
Constantin Menche Germany
Marius Messemaker Switzerland
Zhuoqi Liu China
Erin D. Lucas Australia
Alastair D. MacKenzie Ross United Kingdom
Charly R. Good United States
Francisco X. Galdos United States
Thomas P. Brouwer relative to Kirsten A. Ward‐Hartstonge New Zealand Kirsten A. Ward‐Hartstonge's profile →
Citations per field
00.5×1.5×1.9×
Kirsten A. Ward‐Hartstonge · 1×
Citations per year

Countries citing papers authored by Thomas P. Brouwer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas P. Brouwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas P. Brouwer. 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 Thomas P. Brouwer. The network helps show where Thomas P. Brouwer may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas P. Brouwer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas P. Brouwer Line = papers co-authored together Thomas P. Brouwer links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2014123
2 2018111
3 201828
4 202218
5 202117
6 202212
7 20224
8 20243

About Thomas P. Brouwer

Thomas P. Brouwer is a scholar working on Oncology, Molecular Biology, Immunology, Genetics and Genetics, having authored 8 papers that have together received 316 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (1 paper), Glioma Diagnosis and Treatment (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Oncology (142 citations), Immunology (103 citations), Molecular Biology (191 citations), Biotechnology (10 citations) and Cancer Research (16 citations). Thomas P. Brouwer has collaborated with scholars based in Netherlands, United States and South Korea. Frequent co-authors include Devaveena Dey, Joseph C. Wu, Nigel G. Kooreman, Sebastian Diecke, Alexander L. Vahrmeijer, Noel F.C.C. de Miranda, Robert S. Negrin, Daniel T. Montoro, Patricia E. de Almeida and Everett Meyer. Their work appears in journals such as Cancers, Scientific Reports, Nature Communications, Cellular Oncology and Cell stem cell.

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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