Philippe Bessières

4.3k citations
25 papers · 954 indexed · h-index 15
Topics
Genomics and Phylogenetic Studies (14 papers)Biomedical Text Mining and Ontologies (8 papers)RNA and protein synthesis mechanisms (7 papers)
Partner nations
FranceMoroccoCzechia

In The Last Decade

Philippe Bessières

25 papers receiving 937 citations

Peers

Philippe Bessières
Comparison fields: 5 of 91
  • Molecular Biology 706
  • Genetics 265
  • Ecology 253
  • Artificial Intelligence 123
  • Immunology 115
Replace Jacqueline A. McQuillan with:
Jacqueline A. McQuillan United Kingdom
Alex Lukashin United States
Christine Gaspin France
Robert Bossy France
Konstantinos Liolios United States
Chunhong Mao United States
Marcus C. Chibucos United States
Granger Sutton United States
Yongbing Zhao China
Takashi Kunisawa Japan
Philippe Bessières relative to Jacqueline A. McQuillan United Kingdom Jacqueline A. McQuillan's profile →
Citations per field
00.5×3.4×
Jacqueline A. McQuillan · 1×
Citations per year

Countries citing papers authored by Philippe Bessières

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Bessières

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Bessières

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Bessières. A scholar is included among the top collaborators of Philippe Bessières 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 Philippe Bessières. Philippe Bessières 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
#WorkIndexed citations
1
BioNLP Shared Task 2013 -- An overview of the Genic Regulation Network Task
10
2
BioNLP shared Task 2013 -- An Overview of the Bacteria Biotope Task
31
3 32
4 33
5 123
6 81
7
BioNLP Shared Task 2011 - Bacteria Biotope
25
8 45
9 44
10 9
11 3
12 98
13 183
14 32
15 66
16 12
17
From GeneWeaver to Agmial
1
18 11
19 4
20 24

About Philippe Bessières

Philippe Bessières is a scholar working on Molecular Biology, Periodontics and Genetics, having authored 25 papers that have together received 954 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Biomedical Text Mining and Ontologies (8 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Endocrinology (82 citations), Microbiology (64 citations) and Molecular Biology (706 citations). Philippe Bessières has collaborated with scholars based in France, Morocco and Czechia. Frequent co-authors include Pierre Nicolas, Robert Bossy, Pierre Nicolas, Laëtitia Gilet, Sylvain Durand, Philippe Noirot, Ciarán Condon, Claire Nédellec, Stéphane Aymerich and Vincent Fromion. Their work appears in journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

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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