Thomas Denize

34 papers receiving 1.7k citations

Thomas Denize's Hit Papers

A pathology foundation model for cancer diagnosis and prognosis prediction 2024 · 293 citations
2930+1+3Years since publication100200300400

Peers

Thomas Denize
Comparison fields: 5 of 93
  • Cancer Research 278
  • Health Informatics 29
  • Oncology 480
  • Pulmonary and Respiratory Medicine 516
  • Immunology 239
Replace Philipp Sebastian Jurmeister with:
Philipp Sebastian Jurmeister Germany
Chan‐Young Ock South Korea
Craig Barker United Kingdom
Ramona Erber Germany
Soo‐Ryum Yang United States
Katharina von Loga United Kingdom
In Hye Song South Korea
Michal Vočka Czechia
Robin H. Edwards United States
Thomas Denize relative to Philipp Sebastian Jurmeister Germany Philipp Sebastian Jurmeister's profile →
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Countries citing papers authored by Thomas Denize

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Denize

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Denize, 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 Denize Line = papers co-authored together Thomas Denize links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tumor and immune reprogramming during immunotherapy in advanced renal cell carcinoma
Hit paper breakdown →
2021432
2
Progressive immune dysfunction with advancing disease stage in renal cell carcinoma
Hit paper breakdown →
2021357
3
A pathology foundation model for cancer diagnosis and prognosis prediction
Hit paper breakdown →
2024293
4 202285
5 202152
6 201851
7 202347
8 201832
9 202232
10 202227
11 202326
12 202325
13 202323
14 202122
15 202021
16 202521
17 202320
18 202117
19 202217
20 201815

About Thomas Denize

Thomas Denize is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Otorhinolaryngology and Molecular Biology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), Cancer Genomics and Diagnostics (4 papers), Lung Cancer Research Studies (4 papers), Head and Neck Cancer Studies (3 papers), RNA modifications and cancer (3 papers), Renal and related cancers (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Cancer Research (278 citations), Health Informatics (29 citations), Oncology (480 citations), Pulmonary and Respiratory Medicine (516 citations) and Immunology (239 citations). Thomas Denize has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Sabina Signoretti, Cécile Badoual, Emily Walton, Éric Tartour, Jeffrey A. Golden, Eliana Marostica, Jérémy Augustin, H. Mirghani, Isaac S. Kohane and Kun‐Hsing Yu. Their work appears in journals such as Clinical Cancer Research, Cancer Cell, Human Pathology, Nature Communications and Journal for ImmunoTherapy of Cancer.

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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