Marc Santolini

1.4k citations
37 papers · 742 · h-index 15

Impact in

    • Muscle Physiology and Disorders
    • Bioinformatics and Genomic Networks
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Gene Regulatory Network Analysis
    • Gut microbiota and health
    • Cancer-related molecular mechanisms research

Papers in

    • RNA Research and Splicing 4
    • Muscle Physiology and Disorders 4
    • Genomics and Chromatin Dynamics 3
    • Bioinformatics and Genomic Networks 3

Marc Santolini

34 papers receiving 726 citations

Peers

Marc Santolini
Comparison fields: 5 of 128
  • Molecular Biology 418
  • Cancer Research 66
  • Soil Science 41
  • Cardiology and Cardiovascular Medicine 65
  • Ecology 72
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Citations per field
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Citations per year

Countries citing papers authored by Marc Santolini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marc Santolini Line = papers co-authored together Marc Santolini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018222
2 201355
3 201450
4 202038
5 201338
6 201633
7 201831
8 202030
9 201624
10 201823
11 201822
12 201622
13 201420
14 201818
15 202216
16 201812
17 197411
18 201411
19 202010
20 20217

About Marc Santolini

Marc Santolini is a scholar working on Molecular Biology, Epidemiology, Genetics, Statistical and Nonlinear Physics and Cardiology and Cardiovascular Medicine, having authored 37 papers that have together received 742 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Complex Network Analysis Techniques (4 papers), Muscle Physiology and Disorders (4 papers), Species Distribution and Climate Change (3 papers), Genomics and Chromatin Dynamics (3 papers), Scientific Computing and Data Management (3 papers), Bioinformatics and Genomic Networks (3 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Molecular Biology (418 citations), Cancer Research (66 citations), Soil Science (41 citations), Cardiology and Cardiovascular Medicine (65 citations) and Ecology (72 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, James N. Weiss, Aldons J. Lusis, Alain Karma, Thierry Mora and Asher Ameli. Their work appears in journals such as PLoS Genetics, PLoS ONE, Scientific Reports, 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.

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