Edouard de Castro

19.7k citations
32 papers · 5.3k indexed · 3 hit papers · h-index 21
Topics
Genomics and Phylogenetic Studies (12 papers)RNA and protein synthesis mechanisms (9 papers)Machine Learning in Bioinformatics (6 papers)

In The Last Decade

Edouard de Castro

32 papers receiving 5.2k citations

Hit Papers

ScanProsite: detection of PROSITE signature matches and P...20062026201220192006201220094008001.2k

Peers

Edouard de Castro
Comparison fields: 5 of 147
  • Molecular Biology 3.4k
  • Plant Science 996
  • Ecology 504
  • Aging 483
  • Genetics 455
Replace Erich M. Schwarz with:
Erich M. Schwarz United States
Bart Deplancke Switzerland
Amy A. Caudy United States
Xiaowo Wang China
Hong Xiao United States
Andreas Schlösser Germany
Marc Güell Spain
Anthony D. Long United States
Katherine A. Borkovich United States
Ryan Kelley United States
Edouard de Castro relative to Erich M. Schwarz United States Erich M. Schwarz's profile →
Citations per field
00.5×1.5×2.4×
Erich M. Schwarz · 1×
Citations per year

Countries citing papers authored by Edouard de Castro

Since Specialization
Citations

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

Fields of papers citing papers by Edouard de Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edouard de Castro. 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 Edouard de Castro. The network helps show where Edouard de Castro may publish in the future.

Co-authorship network of co-authors of Edouard de Castro

This figure shows the co-authorship network connecting the top 25 collaborators of Edouard de Castro. A scholar is included among the top collaborators of Edouard de Castro 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 Edouard de Castro. Edouard de Castro 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 3
3 13
4 7
5 3
6 7
7 69
8 2
9 7
10 12
11 123
12 47
13 39
14 297
15 122
16
ScanProsite: detection of PROSITE signature matches and ProRule-associated functional and structural residues in proteinsbreakdown →
1270
17 190
18 128
19 102
20 71

About Edouard de Castro

Edouard de Castro is a scholar working on Aging, Biophysics and Molecular Biology, having authored 32 papers that have together received 5.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), RNA and protein synthesis mechanisms (9 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Aging (483 citations), Molecular Biology (3.4k citations) and Endocrine and Autonomic Systems (204 citations). Edouard de Castro has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Christian J A Sigrist, Amos Bairoch, Petra Langendijk-Genevaux, Lorenzo Cerutti, Nicolas Hulo, Lydie Bougueleret, Ioannis Xénarios, Elisabeth Gasteiger, Alexandre Gattiker and Alan Bridge. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Neuron.

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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