Thomas U. Marron
- Immunology top 5%
- Immunotherapy and Immune Responses 27
- Immune Cell Function and Interaction 8
- Immunodeficiency and Autoimmune Disorders 6
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 14
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 37
- CAR-T cell therapy research 22
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- Cancer Genomics and Diagnostics 6
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- Cancer Research and Treatments 7
- Co-authors
- Charlotte Cunningham‐RundlesMiriam MéradJoyce E. YuJoshua BrodyAndres Μ. SalazarMark YarchoanBrian D. BrownLinda Hammerich
- Cited by
- ImmunologyHepatologyOncology
- Journals
- Journal of Clinical Oncology (17 papers)Cancer Research (7 papers)Annals of Oncology (6 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Thomas U. Marron
83 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 766
- Hepatology 205
- Oncology 520
- Genetics 73
- Cancer Research 82
Countries citing papers authored by Thomas U. Marron
This map shows the geographic impact of Thomas U. Marron'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 U. Marron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas U. Marron more than expected).
Fields of papers citing papers by Thomas U. Marron
This network shows the impact of papers produced by Thomas U. Marron. 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 U. Marron. The network helps show where Thomas U. Marron may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas U. Marron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | Adjuvant and neoadjuvant immunotherapies in hepatocellular carcinomabreakdown → | 2024 | 162 |
| 4 | 2024 | 10 | |
| 5 | Personalized neoantigen vaccine and pembrolizumab in advanced hepatocellular carcinoma: a phase 1/2 trialbreakdown → | 2024 | 111 |
| 6 | 2024 | 8 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 8 | |
| 16 | 2019 | 56 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 17 | |
| 20 | 2008 | 1 |
About Thomas U. Marron
Thomas U. Marron is a scholar working on Oncology, Hepatology, Immunology, Biotechnology and Physiology, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (37 papers), Immunotherapy and Immune Responses (27 papers), CAR-T cell therapy research (22 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Immune Cell Function and Interaction (8 papers), Cancer Research and Treatments (7 papers), Cancer Genomics and Diagnostics (6 papers) and Immunodeficiency and Autoimmune Disorders (6 papers). The work is most often cited by research in Immunology (766 citations), Hepatology (205 citations), Oncology (520 citations), Genetics (73 citations) and Cancer Research (82 citations). Thomas U. Marron has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Charlotte Cunningham‐Rundles, Miriam Mérad, Joyce E. Yu, Joshua Brody, Andres Μ. Salazar, Mark Yarchoan, Brian D. Brown, Linda Hammerich, Judit Svensson‐Arvelund and Ranjan Upadhyay. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Annals of Oncology, Journal of Thoracic Oncology and Journal of Allergy and Clinical Immunology.
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.