Thérèse Commes
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
- Hematology 19
- Acute Myeloid Leukemia Research 10
- Multiple Myeloma Research and Treatments 8
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- Genomics and Phylogenetic Studies 20
- Retinoids in leukemia and cellular processes 14
- Gene expression and cancer classification 7
- Mechanisms of cancer metastasis 5
- RNA Research and Splicing 4
- Co-authors
- David Piquemal (20 shared papers)Jacques Marti (24 shared papers)Shigeru Hirota (4 shared papers)Misako Watabe (4 shared papers)Sucharita Bandyopadhyay (4 shared papers)Ken Saito (4 shared papers)Sudha K. Pai (4 shared papers)Sadahiro Hosobe (4 shared papers)
- Journals
- British Journal of Haematology (5 papers)Blood (3 papers)Nucleic Acids Research (3 papers)Scientific Reports (3 papers)Genome biology (3 papers)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Thérèse Commes
82 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 111
- Hematology 386
- Cancer Research 308
- Molecular Biology 1.2k
- Genetics 124
- Oncology 249
Countries citing papers authored by Thérèse Commes
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
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.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Drg-1 gene suppresses tumor metastasis in prostate cancer. | 2003 | 269 |
| 2 | 2016 | 182 | |
| 3 | 2004 | 162 | |
| 4 | 1999 | 133 | |
| 5 | 2004 | 118 | |
| 6 | 1998 | 107 | |
| 7 | 2017 | 106 | |
| 8 | 2006 | 97 | |
| 9 | 2013 | 97 | |
| 10 | 2016 | 95 | |
| 11 | 2020 | 88 | |
| 12 | 2004 | 81 | |
| 13 | 2018 | 65 | |
| 14 | 2013 | 59 | |
| 15 | 2008 | 57 | |
| 16 | Drg1, a novel target for modulating sensitivity to CPT-11 in colon cancer cells. | 2002 | 53 |
| 17 | 2017 | 51 | |
| 18 | 1999 | 50 | |
| 19 | 2002 | 50 | |
| 20 | 1993 | 44 |
About Thérèse Commes
Thérèse Commes is a scholar working on Hematology, Molecular Biology, Genetics, Cancer Research and Immunology, having authored 85 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (20 papers), Retinoids in leukemia and cellular processes (14 papers), Acute Myeloid Leukemia Research (10 papers), Multiple Myeloma Research and Treatments (8 papers), Gene expression and cancer classification (7 papers), Mechanisms of cancer metastasis (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Hematology (386 citations), Cancer Research (308 citations), Molecular Biology (1.2k citations), Genetics (124 citations) and Oncology (249 citations). Thérèse Commes has collaborated with scholars based in France, United States and Japan. Frequent co-authors include David Piquemal, Jacques Marti, Shigeru Hirota, Misako Watabe, Sucharita Bandyopadhyay, Ken Saito, Sudha K. Pai, Sadahiro Hosobe, Nicolas Philippe and Kounosuke Watabe. Their work appears in journals such as British Journal of Haematology, Blood, Nucleic Acids Research, Scientific Reports and Genome biology.
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.