Luc Mathis

2.2k citations
20 papers · 1.5k · 1 hit paper · h-index 14

Impact in

Papers in

Luc Mathis

20 papers receiving 1.4k citations

Luc Mathis's Hit Papers

Improved soybean oil quality by targeted mutagenesis of the fatty acid desaturase 2 gene family 2014 · 359 citations
3590+4+8Years since publication100200300

Peers

Luc Mathis
Comparison fields: 5 of 77
  • Developmental Neuroscience 168
  • Business and International Management 41
  • Plant Science 653
  • Molecular Biology 1.2k
  • Biotechnology 119
Replace Xia Yang with:
Xia Yang China
Rongkun Shen United States
Yoshimi Nakano Japan
Joseph W. Paul United States
Aliona Bogdanova Germany
Jasmine M. McCammon United States
Nerina Gnesutta Italy
Marc de Tapia France
Yikang S. Rong United States
Keiko Oguchi Japan
Luc Mathis relative to Xia Yang China Xia Yang's profile →
Citations per field
00.5×8.2×
Xia Yang · 1×
Citations per year

Countries citing papers authored by Luc Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Luc Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luc Mathis, 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 Luc Mathis Line = papers co-authored together Luc Mathis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Improved soybean oil quality by targeted mutagenesis of the fatty acid desaturase 2 gene family
Hit paper breakdown →
2014359
2 2015252
3 2016142
4 1996114
5 2001107
6 199786
7 201576
8 200374
9 200061
10 200336
11 200629
12 201027
13 199926
14 200223
15 200611
16 200910
17 20009
18 20067
19
Retrospective clonal analysis of the cerebellum using genetic laacZ/lacZ mouse mosaics.
19976
20 19973

About Luc Mathis

Luc Mathis is a scholar working on Molecular Biology, Developmental Neuroscience, Plant Science, Genetics and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (13 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Pluripotent Stem Cells Research (5 papers), Animal Genetics and Reproduction (3 papers), CRISPR and Genetic Engineering (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Soybean genetics and cultivation (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Developmental Neuroscience (168 citations), Business and International Management (41 citations), Plant Science (653 citations), Molecular Biology (1.2k citations) and Biotechnology (119 citations). Luc Mathis has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Jean‐François Nicolas, Claire Bonnerot, Adam Retterath, Benjamin M. Clasen, Thomas Stoddard, Daniel F. Voytas, Zachary L. Demorest, Frédéric Cédrone, William J. Haun and Feng Zhang. Their work appears in journals such as Development, Developmental Biology, Plant Biotechnology Journal, SLAS DISCOVERY and Nature Cell Biology.

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