Jérôme de Ruyck

961 citations
35 papers · 703 indexed · h-index 14
Topics
Plant biochemistry and biosynthesis (10 papers)Enzyme Structure and Function (9 papers)Protein Structure and Dynamics (5 papers)

In The Last Decade

Jérôme de Ruyck

34 papers receiving 685 citations

Peers

Jérôme de Ruyck
Comparison fields: 5 of 91
  • Molecular Biology 378
  • Organic Chemistry 172
  • Computational Theory and Mathematics 128
  • Materials Chemistry 86
  • Pharmacology 69
Replace Raimo Franke with:
Raimo Franke Germany
Doug W. Hobbs United States
Lun K. Tsou Taiwan
Chris A. E. M. Spronk Netherlands
Claude G. Lerner United States
Andrew S. Murkin United States
Malte Gersch Germany
Robert Gilli France
Katrina W. Lexa United States
N.C. Gassner United States
Jérôme de Ruyck relative to Raimo Franke Germany Raimo Franke's profile →
Citations per field
00.5×4.1×
Raimo Franke · 1×
Citations per year

Countries citing papers authored by Jérôme de Ruyck

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme de Ruyck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme de Ruyck

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme de Ruyck. A scholar is included among the top collaborators of Jérôme de Ruyck 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 Jérôme de Ruyck. Jérôme de Ruyck 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 12
2 5
3 6
4 11
5 7
6 5
7 12
8 242
9 15
10 41
11 21
12 4
13 3
14 9
15 10
16 14
17 2
18 9
19 0
20 21

About Jérôme de Ruyck

Jérôme de Ruyck is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cell Biology, having authored 35 papers that have together received 703 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (10 papers), Enzyme Structure and Function (9 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Endocrinology (52 citations), Computational Theory and Mathematics (128 citations) and Organic Chemistry (172 citations). Jérôme de Ruyck has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Marc F. Lensink, Guillaume Brysbaert, Ralf Blossey, Johan Wouters, C. Dale Poulter, Julie Bouckaert, Benoı̂t Champagne, Marc de Wergifosse, Steven C. Rothman and Denis Jacquemin. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Physical Chemistry B and Biochemistry.

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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