Laetitia Poidevin

569 citations
14 papers · 275 indexed · h-index 8
Topics
Gene expression and cancer classification (3 papers)Biomedical Text Mining and Ontologies (2 papers)Protist diversity and phylogeny (2 papers)
Partner nations
FranceFinlandGermany

In The Last Decade

Laetitia Poidevin

14 papers receiving 270 citations

Peers

Laetitia Poidevin
Comparison fields: 5 of 82
  • Molecular Biology 205
  • Genetics 40
  • Cellular and Molecular Neuroscience 30
  • Cancer Research 21
  • Immunology 19
Replace Daniel C. Chamrad with:
Daniel C. Chamrad Germany
Zhanzhi Hu United States
Safia Thaminy Switzerland
Weifeng Huang China
Jennifer R. Hryhorenko United States
Daniel Papinski Austria
Eric Richard France
Andrew D. Mathis United States
Tony Sawford United Kingdom
Michael Plank United Kingdom
Laetitia Poidevin relative to Daniel C. Chamrad Germany Daniel C. Chamrad's profile →
Citations per field
00.5×10×
Daniel C. Chamrad · 1×
Citations per year

Countries citing papers authored by Laetitia Poidevin

Since Specialization
Citations

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

Fields of papers citing papers by Laetitia Poidevin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laetitia Poidevin

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 15
2 3
3 2
4 3
5 5
6 15
7 35
8 35
9 1
10 49
11 45
12 51
13 13
14 3

About Laetitia Poidevin

Laetitia Poidevin is a scholar working on Molecular Biology, Immunology and Aquatic Science, having authored 14 papers that have together received 275 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Molecular Biology (205 citations), Periodontics (13 citations) and Ophthalmology (16 citations). Laetitia Poidevin has collaborated with scholars based in France, Finland and Germany. Frequent co-authors include Olivier Poch, Odile Lecompte, Raymond Ripp, Làszlò Tora, Krishanpal Anamika, Ákos Gyenis, Julie Thompson, Thierry Léveillard, Henri Tenenbaum and Jean‐Luc Davideau. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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