Thomas F. Gajewski
- Immunology top 0.01%
- Oncology top 0.01%
- Molecular Biology top 0.2%
- Pulmonary and Respiratory Medicine top 0.5%
- Infectious Diseases top 0.5%
- Co-authors
- Stefani SprangerYuanyuan ZhaMaria‐Luisa AlegreLeticia CorralesJason J. LukeF W FitchJason B. WilliamsVyara Matson
- Topics
- Cancer Immunotherapy and Biomarkers (127 papers)Immunotherapy and Immune Responses (115 papers)CAR-T cell therapy research (105 papers)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Thomas F. Gajewski
317 papers receiving 35.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Immunology 20.9k
- Oncology 19.8k
- Molecular Biology 11.9k
- Pulmonary and Respiratory Medicine 3.1k
- Infectious Diseases 2.7k
Countries citing papers authored by Thomas F. Gajewski
This map shows the geographic impact of Thomas F. Gajewski'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 F. Gajewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas F. Gajewski more than expected).
Fields of papers citing papers by Thomas F. Gajewski
This network shows the impact of papers produced by Thomas F. Gajewski. 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 F. Gajewski. The network helps show where Thomas F. Gajewski may publish in the future.
Co-authorship network of co-authors of Thomas F. Gajewski
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas F. Gajewski. A scholar is included among the top collaborators of Thomas F. Gajewski 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 Thomas F. Gajewski. Thomas F. Gajewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 62 | |
| 6 | 31 | |
| 7 | 136 | |
| 8 | 25 | |
| 9 | Treatment with tocilizumab does not inhibit induction of anti-COVID-19 antibodies in patients with severe SARS-CoV-2 infection | 0 |
| 10 | WNT/β-catenin Pathway Activation Correlates with Immune Exclusion across Human Cancersbreakdown → | 454 |
| 11 | 30 | |
| 12 | 35 | |
| 13 | 36 | |
| 14 | 124 | |
| 15 | 86 | |
| 16 | Commensal Bifidobacterium promotes antitumor immunity and facilitates anti–PD-L1 efficacybreakdown → | 2825 |
| 17 | 97 | |
| 18 | 51 | |
| 19 | Chemokine Expression in Melanoma Metastases Associated with CD8+ T-Cell Recruitmentbreakdown → | 872 |
| 20 | 79 |
About Thomas F. Gajewski
Thomas F. Gajewski is a scholar working on Immunology, Oncology and Biological Psychiatry, having authored 321 papers that have together received 36.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (127 papers), Immunotherapy and Immune Responses (115 papers) and CAR-T cell therapy research (105 papers). The work is most often cited by research in Immunology (20.9k citations), Oncology (19.8k citations) and Biological Psychiatry (1.2k citations). Thomas F. Gajewski has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Stefani Spranger, Yuanyuan Zha, Maria‐Luisa Alegre, Leticia Corrales, Jason J. Luke, F W Fitch, Jason B. Williams, Vyara Matson, Yuru Meng and Brendan Horton. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.