Patrick Tas

1.0k citations
38 papers · 784 · h-index 14

Impact in

Papers in

Patrick Tas

37 papers receiving 773 citations

Peers

Patrick Tas
Comparison fields: 5 of 67
  • Pathology and Forensic Medicine 349
  • Cancer Research 162
  • Oncology 268
  • Dermatology 70
  • Genetics 67
Replace Thomas A. Summers with:
Thomas A. Summers United States
I Espinosa Spain
Brigitte Wollert‐Wulf Germany
Sunhee S. Kim United States
Judit Mészáros Joergensen Denmark
Miguel A. Cruz Spain
Robert J. Behrens United States
Frierson Hf United States
Zana A. Coulibaly United States
Sakura Sakajiri Japan
Patrick Tas relative to Thomas A. Summers United States Thomas A. Summers's profile →
Citations per field
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Thomas A. Summers · 1×
Citations per year

Countries citing papers authored by Patrick Tas

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Tas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017161
2 2015109
3 202163
4 201053
5 200948
6 201540
7 200731
8 201631
9 201429
10 202129
11 201127
12 199523
13 201023
14 202022
15
Pathological response to neoadjuvant chemotherapy Final results of a prospective randomized trial of 4AT vs 4AC as induction therapy in patients with operable breast cancer using Sataloff classification
199912
16 199511
17 201010
18 201510
19 20117
20 20185

About Patrick Tas

Patrick Tas is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Dermatology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 784 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (8 papers), Lymphoma Diagnosis and Treatment (6 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Viral-associated cancers and disorders (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (349 citations), Cancer Research (162 citations), Oncology (268 citations), Dermatology (70 citations) and Genetics (67 citations). Patrick Tas has collaborated with scholars based in France, United States and Denmark. Frequent co-authors include Jean Lévêque, Vincent Lavoué, Sophie Rouquette, Philippe Porée, H. Mesbah, Farzad Pakdel, Florence Godey, Gilles Flouriot, J. Blanchot and Fabrice Foucher. Their work appears in journals such as Breast Cancer Research and Treatment, The Breast, Diagnostic and Interventional Imaging, BMJ Open Gastroenterology and Journal of Clinical Oncology.

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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