Pascale Gaudet

31.0k citations
69 papers · 3.2k indexed · 1 hit paper · h-index 24
Topics
Bioinformatics and Genomic Networks (31 papers)Biomedical Text Mining and Ontologies (30 papers)Genomics and Phylogenetic Studies (14 papers)

In The Last Decade

Pascale Gaudet

67 papers receiving 3.1k citations

Hit Papers

Phylogenetic-based propagation of functional annotations ...20112026201620212011200400600

Peers

Pascale Gaudet
Comparison fields: 5 of 146
  • Molecular Biology 2.2k
  • Genetics 365
  • Spectroscopy 364
  • Cell Biology 362
  • Cancer Research 214
Replace Jingwen Bai with:
Jingwen Bai China
Chakradhar Bandla United Kingdom
Noemí del‐Toro United Kingdom
Ananth Prakash United Kingdom
Deepti J Kundu United Kingdom
Mathias Walzer Germany
David García‐Seisdedos Spain
Shengbo Wang United Kingdom
Selvakumar Kamatchinathan United Kingdom
José A. Dianes United Kingdom
Pascale Gaudet relative to Jingwen Bai China Jingwen Bai's profile →
Citations per field
00.5×50×100×150×177×
Jingwen Bai · 1×
Citations per year

Countries citing papers authored by Pascale Gaudet

Since Specialization
Citations

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

Fields of papers citing papers by Pascale Gaudet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascale Gaudet

This figure shows the co-authorship network connecting the top 25 collaborators of Pascale Gaudet. A scholar is included among the top collaborators of Pascale Gaudet 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 Pascale Gaudet. Pascale Gaudet 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 1
2 6
3
An Example of Multimodal Biological Knowledge Representation.
1
4 67
5 20
6 23
7 8
8 107
9 12
10 35
11 49
12 134
13 33
14 126
15 461
16 94
17 27
18 33
19 17
20 8

About Pascale Gaudet

Pascale Gaudet is a scholar working on Biophysics, Endocrinology and Molecular Biology, having authored 69 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (31 papers), Biomedical Text Mining and Ontologies (30 papers) and Genomics and Phylogenetic Studies (14 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Aging (55 citations) and Cell Biology (362 citations). Pascale Gaudet has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Suzanna Lewis, Paul D. Thomas, Michael Livstone, Petra Fey, Rex L. Chisholm, Huaiyu Mi, Anushya Muruganujan, Qing Dong, Karen E Pilcher and Amos Bairoch. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

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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