Daniel Cussac
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Receptor Mechanisms and Signaling 4
- Genetics 11
- Mesenchymal stem cell research 11
- Co-authors
- Angelo Parini (20 shared papers)Denis Calise (11 shared papers)Céline Mias (7 shared papers)Philippe Bourin (5 shared papers)Marie‐Hélène Séguélas (5 shared papers)Marie‐Dominique Piercecchi‐Marti (2 shared papers)Caroline Ceccaldi (6 shared papers)Olivier Lairez (4 shared papers)
In The Last Decade
Daniel Cussac
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Genetics 339
- Biomaterials 241
- Surgery 374
- Molecular Biology 455
- Developmental Neuroscience 24
Countries citing papers authored by Daniel Cussac
This map shows the geographic impact of Daniel Cussac'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 Daniel Cussac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cussac more than expected).
Fields of papers citing papers by Daniel Cussac
This network shows the impact of papers produced by Daniel Cussac. 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 Daniel Cussac. The network helps show where Daniel Cussac may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Cussac, 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 | 226 | |
| 2 | 2008 | 168 | |
| 3 | 1997 | 83 | |
| 4 | 2003 | 80 | |
| 5 | 2012 | 77 | |
| 6 | 2011 | 60 | |
| 7 | 2013 | 51 | |
| 8 | 2012 | 45 | |
| 9 | 2010 | 44 | |
| 10 | 2000 | 44 | |
| 11 | 2002 | 43 | |
| 12 | 2017 | 38 | |
| 13 | 2019 | 38 | |
| 14 | 2014 | 36 | |
| 15 | 2019 | 31 | |
| 16 | 1996 | 29 | |
| 17 | 2002 | 27 | |
| 18 | 2006 | 26 | |
| 19 | 2022 | 26 | |
| 20 | 2021 | 25 |
About Daniel Cussac
Daniel Cussac is a scholar working on Molecular Biology, Genetics, Biomaterials, Surgery and Biomedical Engineering, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (11 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), Tissue Engineering and Regenerative Medicine (8 papers), Receptor Mechanisms and Signaling (4 papers), Luminescence Properties of Advanced Materials (3 papers), Lanthanide and Transition Metal Complexes (3 papers), Neuropeptides and Animal Physiology (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Genetics (339 citations), Biomaterials (241 citations), Surgery (374 citations), Molecular Biology (455 citations) and Developmental Neuroscience (24 citations). Daniel Cussac has collaborated with scholars based in France, Greece and Mali. Frequent co-authors include Angelo Parini, Denis Calise, Céline Mias, Philippe Bourin, Marie‐Hélène Séguélas, Marie‐Dominique Piercecchi‐Marti, Caroline Ceccaldi, Olivier Lairez, Colette Denis and Jérôme Roncalli. Their work appears in journals such as Cell Transplantation, International Journal of Pharmaceutics, International Journal of Molecular Sciences, Stem Cells and Acta Biomaterialia.
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.