Marc Santolini
Impact in
-
- Muscle Physiology and Disorders
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
-
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 4
- Muscle Physiology and Disorders 4
- Bioinformatics and Genomic Networks 3
- Co-authors
- Albert-László Barabási (2 shared papers)Vincent Hakim (5 shared papers)Pascal Maire (5 shared papers)Iori Sakakibara (3 shared papers)Arnaud Ferry (1 shared paper)Alain Karma (3 shared papers)James N. Weiss (3 shared papers)Aldons J. Lusis (3 shared papers)
- Journals
- PLoS ONE (3 papers)PLoS Genetics (3 papers)Nucleic Acids Research (2 papers)EPJ Data Science (2 papers)npj Systems Biology and Applications (2 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Marc Santolini
35 papers receiving 737 citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 390
- Cancer Research 64
- Soil Science 38
- Cardiology and Cardiovascular Medicine 58
- Ecology 68
Countries citing papers authored by Marc Santolini
This map shows the geographic impact of Marc Santolini'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 Marc Santolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Santolini more than expected).
Fields of papers citing papers by Marc Santolini
This network shows the impact of papers produced by Marc Santolini. 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 Marc Santolini. The network helps show where Marc Santolini may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Santolini, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 226 | |
| 2 | 2013 | 56 | |
| 3 | 2014 | 50 | |
| 4 | 2020 | 41 | |
| 5 | 2013 | 38 | |
| 6 | 2016 | 34 | |
| 7 | 2018 | 32 | |
| 8 | 2020 | 30 | |
| 9 | 2016 | 26 | |
| 10 | 2018 | 24 | |
| 11 | 2018 | 23 | |
| 12 | 2016 | 22 | |
| 13 | 2014 | 20 | |
| 14 | 2018 | 18 | |
| 15 | 2022 | 17 | |
| 16 | 2018 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2021 | 8 | |
| 20 | 2021 | 7 |
About Marc Santolini
Marc Santolini is a scholar working on Molecular Biology, Epidemiology, Genetics, Statistical and Nonlinear Physics and Information Systems and Management, having authored 39 papers that have together received 752 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Muscle Physiology and Disorders (4 papers), Complex Network Analysis Techniques (4 papers), Species Distribution and Climate Change (3 papers), Scientific Computing and Data Management (3 papers), Bioinformatics and Genomic Networks (3 papers), Online Learning and Analytics (2 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Molecular Biology (390 citations), Cancer Research (64 citations), Soil Science (38 citations), Cardiology and Cardiovascular Medicine (58 citations) and Ecology (68 citations). Marc Santolini has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Albert-László Barabási, Vincent Hakim, Pascal Maire, Iori Sakakibara, Arnaud Ferry, Alain Karma, James N. Weiss, Aldons J. Lusis, Amitabh Sharma and Asher Ameli. Their work appears in journals such as PLoS ONE, PLoS Genetics, Nucleic Acids Research, EPJ Data Science and npj Systems Biology and Applications.
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.