Emily Clement
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
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- Extracellular vesicles in disease
- Metabolism, Diabetes, and Cancer
Papers in
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- Extracellular vesicles in disease 5
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- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- Catherine Muller (8 shared papers)Laurence Nieto (8 shared papers)Ikrame Lazar (7 shared papers)Stéphanie Dauvillier (6 shared papers)Sophie Le Gonidec (4 shared papers)Philippe Valet (4 shared papers)Odile Burlet‐Schiltz (3 shared papers)Manuelle Ducoux‐Petit (3 shared papers)
- Journals
- Pigment Cell & Melanoma Research (2 papers)Cancer Research (1 paper)Biomolecules (1 paper)Breast Cancer Research (1 paper)Cancer Letters (1 paper)
- Partner nations
- FranceChinaUnited States
In The Last Decade
Emily Clement
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Cancer Research 405
- Molecular Biology 635
- Physiology 172
- Cardiology and Cardiovascular Medicine 137
- Oncology 162
Countries citing papers authored by Emily Clement
This map shows the geographic impact of Emily Clement'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 Emily Clement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Clement more than expected).
Fields of papers citing papers by Emily Clement
This network shows the impact of papers produced by Emily Clement. 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 Emily Clement. The network helps show where Emily Clement may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily Clement, 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 | 2016 | 286 | |
| 2 | 2020 | 170 | |
| 3 | 2015 | 122 | |
| 4 | 2014 | 106 | |
| 5 | 2019 | 106 | |
| 6 | 2019 | 91 | |
| 7 | 2017 | 53 | |
| 8 | 2018 | 45 | |
| 9 | 2008 | 41 | |
| 10 | 2022 | 23 | |
| 11 | 2015 | 20 | |
| 12 | 2020 | 16 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2025 | 0 |
About Emily Clement
Emily Clement is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), MicroRNA in disease regulation (3 papers), Cardiovascular Disease and Adiposity (2 papers), Adipose Tissue and Metabolism (2 papers), Wound Healing and Treatments (1 paper), Dermatologic Treatments and Research (1 paper) and Silymarin and Mushroom Poisoning (1 paper). The work is most often cited by research in Cancer Research (405 citations), Molecular Biology (635 citations), Physiology (172 citations), Cardiology and Cardiovascular Medicine (137 citations) and Oncology (162 citations). Emily Clement has collaborated with scholars based in France, China and United States. Frequent co-authors include Catherine Muller, Laurence Nieto, Ikrame Lazar, Stéphanie Dauvillier, Sophie Le Gonidec, Philippe Valet, Odile Burlet‐Schiltz, Manuelle Ducoux‐Petit, Stéphane Dalle and Vanessa Soldan. Their work appears in journals such as Pigment Cell & Melanoma Research, Cancer Research, Biomolecules, Breast Cancer Research and Cancer Letters.
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.