Thérèse Commes

3.5k citations
86 papers · 2.9k · h-index 30

Impact in

Papers in

    • Acute Myeloid Leukemia Research 12
    • Retinoids in leukemia and cellular processes 13
    • RNA modifications and cancer 12
    • Mechanisms of cancer metastasis 9
    • RNA Research and Splicing 9
    • Genomics and Phylogenetic Studies 8

Thérèse Commes

83 papers receiving 2.8k citations

Peers

Thérèse Commes
Comparison fields: 5 of 112
  • Hematology 411
  • Cancer Research 404
  • Molecular Biology 1.7k
  • Pathology and Forensic Medicine 407
  • Genetics 201
Replace Roman Szabo with:
Roman Szabo United States
Beric R. Henderson Australia
Jean‐Pierre Kerckaert France
Jean‐Philippe Salier France
Hans‐Jürgen Thiesen Germany
Bo Xia China
Ruth W. Craig United States
Tim Dexter United Kingdom
Göran Levan Sweden
B Hoffman United States
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Citations per field
00.5×2×3.3×
Roman Szabo · 1×
Citations per year

Countries citing papers authored by Thérèse Commes

Since Specialization
Citations

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

Fields of papers citing papers by Thérèse Commes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Drg-1 gene suppresses tumor metastasis in prostate cancer.
2003270
2 2016180
3 2004163
4 1999133
5 2004118
6 1998107
7 2017104
8 201397
9 200696
10 201694
11 202086
12 200481
13 201865
14 201360
15 200857
16
Drg1, a novel target for modulating sensitivity to CPT-11 in colon cancer cells.
200253
17 199951
18 200251
19 201750
20 200244

About Thérèse Commes

Thérèse Commes is a scholar working on Hematology, Molecular Biology, Cancer Research, Immunology and Genetics, having authored 86 papers that have together received 2.9k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (13 papers), RNA modifications and cancer (12 papers), Acute Myeloid Leukemia Research (12 papers), Chronic Lymphocytic Leukemia Research (10 papers), Cancer-related molecular mechanisms research (10 papers), Mechanisms of cancer metastasis (9 papers), RNA Research and Splicing (9 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Hematology (411 citations), Cancer Research (404 citations), Molecular Biology (1.7k citations), Pathology and Forensic Medicine (407 citations) and Genetics (201 citations). Thérèse Commes has collaborated with scholars based in France, United States and Japan. Frequent co-authors include David Piquemal, Jacques Marti, Nicolas Philippe, Sadahiro Hosobe, Misako Watabe, Sudha K. Pai, Sucharita Bandyopadhyay, Kounosuke Watabe, Ken Saito and Shigeru Hirota. Their work appears in journals such as British Journal of Haematology, Blood, Nucleic Acids Research, Genome biology and Scientific Reports.

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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