Luc Martin

633 total citations
18 papers, 497 citations indexed

About

Luc Martin is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Physiology. According to data from OpenAlex, Luc Martin has authored 18 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Physiology. Recurrent topics in Luc Martin's work include Epigenetics and DNA Methylation (4 papers), Vector-Borne Animal Diseases (3 papers) and RNA Interference and Gene Delivery (2 papers). Luc Martin is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Vector-Borne Animal Diseases (3 papers) and RNA Interference and Gene Delivery (2 papers). Luc Martin collaborates with scholars based in France, United Kingdom and United States. Luc Martin's co-authors include Minoo Rassoulzadegan, Valérie Grandjean, Kay‐Dietrich Wagner, Nicole Wagner, François Cuzin, Florence Bernex, Pierre Gounon, Julien Sage, François Cuzin and Adam J. Meyer and has published in prestigious journals such as Nature Communications, Molecular and Cellular Biology and Development.

In The Last Decade

Luc Martin

18 papers receiving 487 citations

Peers

Luc Martin
Comparison fields: 5 of 71
  • Molecular Biology 295
  • Cancer Research 96
  • Genetics 84
  • Ecology, Evolution, Behavior and Systematics 83
  • Agronomy and Crop Science 66
Replace Shuang Tang with:
Shuang Tang China
Zongjun Yin China
Meriem Hamdi Spain
Nigel Dyer United Kingdom
Jingyue Duan United States
Madia Charlier France
Maite del Collado Brazil
Gabriella Mamede Andrade Brazil
Marie Adams United States
David A. Brown United States
Shuang Tang China View profile →
Citations per field, relative to Luc Martin
Luc Martin · 1×
Citations per year, relative to Luc Martin
Luc Martin · 1×

Countries citing papers authored by Luc Martin

Since Specialization
Citations

This map shows the geographic impact of Luc Martin'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 Luc Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Martin more than expected).

Fields of papers citing papers by Luc Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luc Martin. 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 Luc Martin. The network helps show where Luc Martin may publish in the future.

Co-authorship network of co-authors of Luc Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Martin. A scholar is included among the top collaborators of Luc Martin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luc Martin. Luc Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 2
2 6
3 18
4 40
5 42
6 6
7 4
8 151
9
The miR-124-Sox9 paramutation: RNA-mediated epigenetic control of embryonic and adult growth
9
10 16
11 36
12 30
13 35
14 38
15 13
16 8
17 21
18 22

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026