Daniel Marc
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Epidemiology top 5%
- Influenza Virus Research Studies
Papers in
- Epidemiology 22
- Influenza Virus Research Studies 21
-
- Escherichia coli research studies 3
- Co-authors
- Jeanne Grosclaude (3 shared papers)Marc P Girard (4 shared papers)Frédéric Lantier (4 shared papers)Jean-Michel Elsen (2 shared papers)Olivier Andréoletti (2 shared papers)Sylvie van der Werf (3 shared papers)Patricia Berthon (2 shared papers)François Schelcher (1 shared paper)
- Journals
- Journal of General Virology (5 papers)Journal of Virology (4 papers)Virology (2 papers)Viruses (2 papers)PLoS ONE (2 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Daniel Marc
41 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 70
- Endocrinology 109
- Epidemiology 465
- Molecular Biology 911
- Animal Science and Zoology 71
- Immunology 130
Countries citing papers authored by Daniel Marc
This map shows the geographic impact of Daniel Marc'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 Marc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Marc more than expected).
Fields of papers citing papers by Daniel Marc
This network shows the impact of papers produced by Daniel Marc. 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 Marc. The network helps show where Daniel Marc may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Marc, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 352 | |
| 2 | 2001 | 159 | |
| 3 | 2000 | 149 | |
| 4 | 2009 | 125 | |
| 5 | 2014 | 111 | |
| 6 | 1989 | 93 | |
| 7 | 1990 | 72 | |
| 8 | 2002 | 60 | |
| 9 | 2011 | 56 | |
| 10 | 2011 | 54 | |
| 11 | 2012 | 49 | |
| 12 | 1991 | 47 | |
| 13 | 2019 | 44 | |
| 14 | 1998 | 41 | |
| 15 | 2014 | 41 | |
| 16 | 1996 | 38 | |
| 17 | 2002 | 37 | |
| 18 | 2000 | 33 | |
| 19 | 1991 | 32 | |
| 20 | 2006 | 31 |
About Daniel Marc
Daniel Marc is a scholar working on Epidemiology, Endocrinology, Molecular Biology, Cardiology and Cardiovascular Medicine and Computational Theory and Mathematics, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (21 papers), Prion Diseases and Protein Misfolding (10 papers), Viral Infections and Immunology Research (4 papers), Escherichia coli research studies (3 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), interferon and immune responses (2 papers) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Endocrinology (109 citations), Epidemiology (465 citations), Molecular Biology (911 citations), Animal Science and Zoology (71 citations) and Immunology (130 citations). Daniel Marc has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Jeanne Grosclaude, Marc P Girard, Frédéric Lantier, Jean-Michel Elsen, Olivier Andréoletti, Sylvie van der Werf, Patricia Berthon, François Schelcher, Lucien J. M. van Keulen and Pierre Sarradin. Their work appears in journals such as Journal of General Virology, Journal of Virology, Virology, Viruses and PLoS ONE.
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.