Thomas Clozel

3.2k total citations · 2 hit papers
18 papers, 1.4k citations indexed

About

Thomas Clozel is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Thomas Clozel has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Surgery. Recurrent topics in Thomas Clozel's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and AI in cancer detection (4 papers). Thomas Clozel is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and AI in cancer detection (4 papers). Thomas Clozel collaborates with scholars based in United States, France and Canada. Thomas Clozel's co-authors include Gilles Wainrib, Pierre Courtiol, Matahi Moarii, Mikhail Zaslavskiy, Elodie Pronier, Olivier Elemento, Meriem Sefta, Charlie Saillard, Benoît Schmauch and Julien Caldéraro and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Thomas Clozel

17 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning-based classification of mesothelioma improves prediction of patient outcome

2019 314 citations Pierre Courtiol, Charles Maussion et al. Nature Medicine profile →
A deep learning model to predict RNA-Seq expression of tumours from whole slide images

2020 282 citations Benoît Schmauch, Alberto Romagnoni et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Thomas Clozel United States	13	463	439	332	265	248	18	1.4k
Catarina Eloy Portugal	24	673 1.5×	863 2.0×	417 1.3×	413 1.6×	160 0.6×	109	2.3k
Balázs Ács Sweden	17	461 1.0×	436 1.0×	230 0.7×	563 2.1×	333 1.3×	50	1.2k
Manohar Pradhan Norway	15	311 0.7×	240 0.5×	252 0.8×	356 1.3×	291 1.2×	50	1.1k
Andrey Bychkov Japan	26	426 0.9×	312 0.7×	281 0.8×	307 1.2×	95 0.4×	93	1.8k
William T. Tran Canada	27	1.1k 2.3×	486 1.1×	157 0.5×	315 1.2×	301 1.2×	86	1.9k
Sara Kochanny United States	16	267 0.6×	261 0.6×	141 0.4×	341 1.3×	205 0.8×	37	1.0k
Andreas Kleppe Norway	11	460 1.0×	356 0.8×	189 0.6×	368 1.4×	219 0.9×	22	1.0k
Stephan Wienert Germany	16	186 0.4×	322 0.7×	233 0.7×	419 1.6×	175 0.7×	32	1.4k
Paulette Herlin France	17	205 0.4×	241 0.5×	282 0.8×	400 1.5×	254 1.0×	59	1.1k
Elodie Pronier United States	13	419 0.9×	434 1.0×	424 1.3×	194 0.7×	216 0.9×	17	1.2k

Countries citing papers authored by Thomas Clozel

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Clozel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Clozel

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

All Works

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18 of 18 papers shown

Lehár, Joseph, Elo Madissoon, Atanas Kamburov, et al.. (2023). MOSAIC: Multi-Omic Spatial Atlas in Cancer, effect on precision oncology.. Journal of Clinical Oncology. 41(16_suppl). e15076–e15076. 4 indexed citations

Schiratti, Jean-Baptiste, Rémy Dubois, Paul Hérent, et al.. (2021). A deep learning method for predicting knee osteoarthritis radiographic progression from MRI. Arthritis Research & Therapy. 23(1). 262–262. 57 indexed citations

Saillard, Charlie, Benoît Schmauch, Matahi Moarii, et al.. (2020). Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological Slides. Hepatology. 72(6). 2000–2013. 200 indexed citations

Oprea, Tudor I., Thomas Clozel, John P. Overington, et al.. (2020). Artificial intelligence, drug repurposing and peer review. Nature Biotechnology. 38(10). 1127–1131. 48 indexed citations

Saillard, Charlie, Benoît Schmauch, Matahi Moarii, et al.. (2020). Predicting survival after hepatocellular carcinoma resection using deep-learning on histological slides. Journal of Hepatology. 73. S381–S381. 14 indexed citations

Schmauch, Benoît, Alberto Romagnoni, Elodie Pronier, et al.. (2020). A deep learning model to predict RNA-Seq expression of tumours from whole slide images. Nature Communications. 11(1). 3877–3877. 282 indexed citations breakdown →

Pronier, Elodie, Benoît Schmauch, Alberto Romagnoni, et al.. (2020). Abstract 2105: HE2RNA: A deep learning model for transcriptomic learning from digital pathology. Cancer Research. 80(16_Supplement). 2105–2105. 2 indexed citations

Courtiol, Pierre, Charles Maussion, Matahi Moarii, et al.. (2019). Deep learning-based classification of mesothelioma improves prediction of patient outcome. Nature Medicine. 25(10). 1519–1525. 314 indexed citations breakdown →

Xylinas, Évanguelos, Luis A. Kluth, Malte Rieken, et al.. (2016). External validation of the pathological nodal staging score in upper tract urothelial carcinoma: A population-based study. Urologic Oncology Seminars and Original Investigations. 35(1). 33.e21–33.e26. 11 indexed citations

10.

Xylinas, Évanguelos, Melanie R. Hassler, Dazhong Zhuang, et al.. (2016). An Epigenomic Approach to Improving Response to Neoadjuvant Cisplatin Chemotherapy in Bladder Cancer. Biomolecules. 6(3). 37–37. 44 indexed citations

11.

Martino, Michela de, Dazhong Zhuang, Tobias Klatte, et al.. (2014). Impact ofERBB2mutations on in vitro sensitivity of bladder cancer to lapatinib. Cancer Biology & Therapy. 15(9). 1239–1247. 29 indexed citations

12.

Jiang, Yanwen, David Redmond, Kui Nie, et al.. (2014). Deep sequencing reveals clonal evolution patterns and mutation events associated with relapse in B-cell lymphomas. Genome biology. 15(8). 432–432. 64 indexed citations

13.

Jiang, Yanwen, David Redmond, Kui Nie, et al.. (2014). Deep-sequencing reveals clonal evolution patterns and mutation events associated with relapse in B-cell lymphomas. Genome Biology. 15(8). 432–432. 44 indexed citations

14.

Xylinas, Évanguelos, Michael Rink, Vitaly Margulis, et al.. (2013). Impact of renal function on eligibility for chemotherapy and survival in patients who have undergone radical nephro‐ureterectomy. British Journal of Urology. 112(4). 453–461. 115 indexed citations

15.

Redmond, David, Kui Nie, Kenneth Wha Eng, et al.. (2013). Deep Sequencing Reveals Clonal Evolution Patterns and Mutation Events Associated With Relapse In B Cell Lymphomas. Blood. 122(21). 79–79.

16.

Xylinas, Évanguelos, Michael Rink, Giacomo Novara, et al.. (2012). Predictors of Survival in Patients With Soft Tissue Surgical Margin Involvement at Radical Cystectomy. Annals of Surgical Oncology. 20(3). 1027–1034. 15 indexed citations

17.

Clozel, Thomas, ShaoNing Yang, Matthías Kormáksson, et al.. (2011). Chemosensitization of Diffuse Large B Cell Lymphoma by Demethylating Nucleoside Analogues. Blood. 118(21). 1617–1617. 1 indexed citations

18.

Shaknovich, Rita, Leandro Cerchietti, Lucas Tsikitas, et al.. (2011). DNA methyltransferase 1 and DNA methylation patterning contribute to germinal center B-cell differentiation. Blood. 118(13). 3559–3569. 117 indexed citations

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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