Martine Guillier

743 total citations
27 papers, 628 citations indexed

About

Martine Guillier is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Martine Guillier has authored 27 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Hematology and 6 papers in Genetics. Recurrent topics in Martine Guillier's work include Muscle Physiology and Disorders (18 papers), RNA Research and Splicing (8 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Martine Guillier is often cited by papers focused on Muscle Physiology and Disorders (18 papers), RNA Research and Splicing (8 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Martine Guillier collaborates with scholars based in France. Martine Guillier's co-authors include Serge A. Leibovitch, Marie Pierre Leibovitch, Emmanuel G. Reynaud, Ali G. Turhan, Marie-Pierre Leibovitch, François Guilhot, Stéphane Flamant, Marie‐Laure Bonnet, Lionel Tintignac and J Harel and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Martine Guillier

27 papers receiving 622 citations

Peers

Martine Guillier
Comparison fields: 5 of 63
  • Molecular Biology 388
  • Oncology 177
  • Hematology 166
  • Genetics 123
  • Genetics 82
Replace Tetsuharu Shinjyo with:
Tetsuharu Shinjyo Japan
Francesco Acquadro Spain
Laëtitia Gressin France
C Barletta Italy
Ariel Forrai Australia
BD Young United Kingdom
Erwin F. Wagner Austria
Valérie Camara‐Clayette France
Eva Maria Deiner Austria
Philip Vlummens Belgium
Tetsuharu Shinjyo Japan View profile →
Citations per field, relative to Martine Guillier
Martine Guillier · 1×
Citations per year, relative to Martine Guillier
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Countries citing papers authored by Martine Guillier

Since Specialization
Citations

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

Fields of papers citing papers by Martine Guillier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martine Guillier

This figure shows the co-authorship network connecting the top 25 collaborators of Martine Guillier. A scholar is included among the top collaborators of Martine Guillier 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 Martine Guillier. Martine Guillier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 79
3 53
4 30
5 7
6 38
7 24
8 87
9 22
10 85
11 10
12 31
13 17
14 7
15 14
16 1
17 6
18
Expression of two c-fms-related gene products in rat muscular stem cells.
8
19 1
20 23

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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