Eric Sulpice
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
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- MicroRNA in disease regulation
Papers in
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- CRISPR and Genetic Engineering 7
- DNA Repair Mechanisms 6
- Angiogenesis and VEGF in Cancer 6
- RNA Interference and Gene Delivery 4
- Ubiquitin and proteasome pathways 2
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- MicroRNA in disease regulation 5
- Co-authors
- G Tobelem (6 shared papers)Jean Plouët (3 shared papers)Tatyana Merkulova‐Rainon (3 shared papers)Mathieu Bergé (3 shared papers)Xavier Gidrol (24 shared papers)Marijke Bryckaert (3 shared papers)David Allanic (2 shared papers)Zhongchao Han (2 shared papers)
- Journals
- Scientific Reports (4 papers)Blood (3 papers)Cell Death and Disease (2 papers)Cell Death and Differentiation (1 paper)Experimental Hematology (1 paper)
- Partner nations
- FranceLebanonUnited States
In The Last Decade
Eric Sulpice
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Immunology and Allergy 81
- Cancer Research 132
- Molecular Biology 641
- Oncology 217
- Hematology 87
Countries citing papers authored by Eric Sulpice
This map shows the geographic impact of Eric Sulpice'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 Eric Sulpice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Sulpice more than expected).
Fields of papers citing papers by Eric Sulpice
This network shows the impact of papers produced by Eric Sulpice. 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 Eric Sulpice. The network helps show where Eric Sulpice may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Sulpice, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 148 | |
| 2 | 2007 | 140 | |
| 3 | 2007 | 107 | |
| 4 | 2010 | 99 | |
| 5 | 2013 | 76 | |
| 6 | 1999 | 66 | |
| 7 | 2015 | 65 | |
| 8 | 1998 | 59 | |
| 9 | 2002 | 55 | |
| 10 | 2014 | 53 | |
| 11 | 2010 | 50 | |
| 12 | 2012 | 38 | |
| 13 | 2015 | 26 | |
| 14 | 2004 | 22 | |
| 15 | 2012 | 22 | |
| 16 | 2019 | 20 | |
| 17 | 2016 | 19 | |
| 18 | 2022 | 17 | |
| 19 | 2016 | 17 | |
| 20 | 2013 | 14 |
About Eric Sulpice
Eric Sulpice is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Cellular and Molecular Neuroscience and Hematology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), DNA Repair Mechanisms (6 papers), Angiogenesis and VEGF in Cancer (6 papers), MicroRNA in disease regulation (5 papers), RNA Interference and Gene Delivery (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Cell Adhesion Molecules Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Immunology and Allergy (81 citations), Cancer Research (132 citations), Molecular Biology (641 citations), Oncology (217 citations) and Hematology (87 citations). Eric Sulpice has collaborated with scholars based in France, Lebanon and United States. Frequent co-authors include G Tobelem, Jean Plouët, Tatyana Merkulova‐Rainon, Mathieu Bergé, Xavier Gidrol, Marijke Bryckaert, David Allanic, Zhongchao Han, Shunli Ding and Béatrice Muscatelli‐Groux. Their work appears in journals such as Scientific Reports, Blood, Cell Death and Disease, Cell Death and Differentiation and Experimental Hematology.
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.