E. Thoreau
Impact in
- Dermatology top 10%
- Acne and Rosacea Treatments and Effects
-
- Computational Drug Discovery Methods
Papers in
-
- Retinoids in leukemia and cellular processes 4
- Machine Learning in Bioinformatics 3
- Metabolism, Diabetes, and Cancer 2
- Protein Structure and Dynamics 2
-
- Enzyme Structure and Function 2
- Photochromic and Fluorescence Chemistry 2
- Co-authors
- Jean‐Paul Mornon (4 shared papers)Gérard Grassy (2 shared papers)Dominique Douguet (2 shared papers)Jean Djiane (3 shared papers)Paul A. Kelly (1 shared paper)Jean-Paul Mornon (1 shared paper)Bernard Henrissat (1 shared paper)N. Colloc’h (1 shared paper)
In The Last Decade
E. Thoreau
13 papers receiving 589 citations
Peers
Comparison fields: 5 of 88
- Dermatology 62
- Computational Theory and Mathematics 104
- Molecular Biology 315
- Radiology, Nuclear Medicine and Imaging 94
- Oncology 105
Countries citing papers authored by E. Thoreau
This map shows the geographic impact of E. Thoreau'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 E. Thoreau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Thoreau more than expected).
Fields of papers citing papers by E. Thoreau
This network shows the impact of papers produced by E. Thoreau. 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 E. Thoreau. The network helps show where E. Thoreau may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Thoreau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 154 | |
| 2 | 1991 | 132 | |
| 3 | 2000 | 112 | |
| 4 | 1993 | 103 | |
| 5 | 2018 | 50 | |
| 6 | 2018 | 26 | |
| 7 | 2017 | 7 | |
| 8 | 2000 | 7 | |
| 9 | Homology modeling of rabbit prolactin hormone complexed with its receptor. | 1997 | 7 |
| 10 | 1999 | 5 | |
| 11 | 1992 | 4 | |
| 12 | 1997 | 4 | |
| 13 | Putative dimeric organization of nuclear receptor hormone-binding domains, deduced from hydrophobic cluster analysis. | 1994 | 4 |
About E. Thoreau
E. Thoreau is a scholar working on Molecular Biology, Materials Chemistry, Biochemistry, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 615 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (4 papers), Machine Learning in Bioinformatics (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Protein Structure and Dynamics (2 papers), Enzyme Structure and Function (2 papers) and Photochromic and Fluorescence Chemistry (2 papers). The work is most often cited by research in Dermatology (62 citations), Computational Theory and Mathematics (104 citations), Molecular Biology (315 citations), Radiology, Nuclear Medicine and Imaging (94 citations) and Oncology (105 citations). E. Thoreau has collaborated with scholars based in France, Morocco and Canada. Frequent co-authors include Jean‐Paul Mornon, Gérard Grassy, Dominique Douguet, Jean Djiane, Paul A. Kelly, Jean-Paul Mornon, Bernard Henrissat, N. Colloc’h, Donald W. Hughes and Gérard Jaouen. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Protein Engineering Design and Selection, Journal of the American Chemical Society, Biomedicine & Pharmacotherapy and Proteins Structure Function and Bioinformatics.
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.