Clément Paris
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Anthropology top 5%
- Pleistocene-Era Hominins and Archaeology
Papers in
-
- RNA Interference and Gene Delivery 8
- DNA and Nucleic Acid Chemistry 5
- Advanced biosensing and bioanalysis techniques 5
- Heat shock proteins research 3
-
- Pleistocene-Era Hominins and Archaeology 5
- Co-authors
- Palma Rocchi (10 shared papers)Thi Khanh Le (8 shared papers)Wai‐Lung Ng (3 shared papers)Khadija Shahed Khan (3 shared papers)Fran Robson (3 shared papers)Pierre Antoine (4 shared papers)Sylvie Coutard (5 shared papers)Gilles Guérin (3 shared papers)
In The Last Decade
Clément Paris
29 papers receiving 792 citations
Peers
Comparison fields: 5 of 97
- Infectious Diseases 301
- Anthropology 81
- Paleontology 52
- Earth-Surface Processes 41
- Atmospheric Science 103
Countries citing papers authored by Clément Paris
This map shows the geographic impact of Clément Paris'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 Clément Paris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clément Paris more than expected).
Fields of papers citing papers by Clément Paris
This network shows the impact of papers produced by Clément Paris. 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 Clément Paris. The network helps show where Clément Paris may publish in the future.
Co-authors
The 25 scholars most cited alongside Clément Paris, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 291 | |
| 2 | 2016 | 85 | |
| 3 | 2020 | 48 | |
| 4 | 2020 | 44 | |
| 5 | 2009 | 35 | |
| 6 | 2024 | 32 | |
| 7 | 2010 | 29 | |
| 8 | 2015 | 26 | |
| 9 | 2017 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2022 | 20 | |
| 12 | 2020 | 20 | |
| 13 | 2024 | 17 | |
| 14 | 2013 | 16 | |
| 15 | 2017 | 13 | |
| 16 | 2012 | 12 | |
| 17 | 2021 | 10 | |
| 18 | 2007 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2016 | 9 |
About Clément Paris
Clément Paris is a scholar working on Molecular Biology, Anthropology, Infectious Diseases, Paleontology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 807 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), DNA and Nucleic Acid Chemistry (5 papers), Pleistocene-Era Hominins and Archaeology (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Archaeology and ancient environmental studies (4 papers), Heat shock proteins research (3 papers), Geology and Paleoclimatology Research (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Infectious Diseases (301 citations), Anthropology (81 citations), Paleontology (52 citations), Earth-Surface Processes (41 citations) and Atmospheric Science (103 citations). Clément Paris has collaborated with scholars based in France, Vietnam and Canada. Frequent co-authors include Palma Rocchi, Thi Khanh Le, Wai‐Lung Ng, Khadija Shahed Khan, Fran Robson, Pierre Antoine, Sylvie Coutard, Gilles Guérin, Jean‐luc Locht and Laurent Deschodt. Their work appears in journals such as Pharmaceutics, Nucleic Acids Research, Molecular Cell, Bulletin de la Société préhistorique française and Journal of 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.