Eddy Pasquier
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Oncology top 2%
- Cancer Treatment and Pharmacology
Papers in
-
- Angiogenesis and VEGF in Cancer 9
- Oncology 19
- Cancer Treatment and Pharmacology 6
- Co-authors
- Nicolás André (34 shared papers)Maria Kavallaris (14 shared papers)Diane Braguer (11 shared papers)Manon Carré (10 shared papers)Stéphane Honoré (4 shared papers)Pei Pei Gan (1 shared paper)Claudette Briand (3 shared papers)Bertrand Pourroy (3 shared papers)
- Journals
- Cancer Research (6 papers)Oncotarget (5 papers)Nature Reviews Clinical Oncology (3 papers)Trends in cancer (3 papers)Bioorganic & Medicinal Chemistry (3 papers)
- Partner nations
- FranceAustraliaUnited States
In The Last Decade
Eddy Pasquier
67 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 735
- Oncology 1.2k
- Modeling and Simulation 189
- Cell Biology 504
- Molecular Biology 1.7k
Countries citing papers authored by Eddy Pasquier
This map shows the geographic impact of Eddy Pasquier'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 Eddy Pasquier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eddy Pasquier more than expected).
Fields of papers citing papers by Eddy Pasquier
This network shows the impact of papers produced by Eddy Pasquier. 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 Eddy Pasquier. The network helps show where Eddy Pasquier may publish in the future.
Co-authors
The 25 scholars most cited alongside Eddy Pasquier, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 494 | |
| 2 | 2005 | 271 | |
| 3 | 2014 | 243 | |
| 4 | 2007 | 193 | |
| 5 | 2011 | 192 | |
| 6 | 2008 | 164 | |
| 7 | 2004 | 142 | |
| 8 | 2013 | 130 | |
| 9 | 2005 | 120 | |
| 10 | 2007 | 119 | |
| 11 | 2020 | 117 | |
| 12 | 2013 | 117 | |
| 13 | 2019 | 108 | |
| 14 | 2014 | 97 | |
| 15 | 2015 | 92 | |
| 16 | 2016 | 89 | |
| 17 | 2004 | 76 | |
| 18 | 2006 | 75 | |
| 19 | 2006 | 72 | |
| 20 | 2008 | 61 |
About Eddy Pasquier
Eddy Pasquier is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (11 papers), Microtubule and mitosis dynamics (9 papers), Angiogenesis and VEGF in Cancer (9 papers), Mathematical Biology Tumor Growth (6 papers), Cancer Treatment and Pharmacology (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Cancer, Stress, Anesthesia, and Immune Response (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Cancer Research (735 citations), Oncology (1.2k citations), Modeling and Simulation (189 citations), Cell Biology (504 citations) and Molecular Biology (1.7k citations). Eddy Pasquier has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Nicolás André, Maria Kavallaris, Diane Braguer, Manon Carré, Stéphane Honoré, Pei Pei Gan, Claudette Briand, Bertrand Pourroy, Shripad Banavali and Joseph Ciccolini. Their work appears in journals such as Cancer Research, Oncotarget, Nature Reviews Clinical Oncology, Trends in cancer and Bioorganic & Medicinal Chemistry.
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.