Michaël Ryckelynck

3.7k citations
45 papers · 2.7k indexed · 1 hit paper · h-index 21
Topics
RNA and protein synthesis mechanisms (24 papers)Advanced biosensing and bioanalysis techniques (19 papers)Innovative Microfluidic and Catalytic Techniques Innovation (15 papers)

In The Last Decade

Michaël Ryckelynck

41 papers receiving 2.6k citations

Hit Papers

Fluorescence-activated droplet sorting (FADS): efficient ...20092026201420202009200400600

Peers

Michaël Ryckelynck
Comparison fields: 5 of 92
  • Biomedical Engineering 1.5k
  • Molecular Biology 1.4k
  • Electrical and Electronic Engineering 725
  • Genetics 112
  • Ecology 106
Replace Brian M. Paegel with:
Brian M. Paegel United States
Oliver J. Miller France
J. Bonnet France
Andrew J. Heron United Kingdom
Yolanda Schaerli Switzerland
Alexander Johnson‐Buck United States
John C. Chaput United States
Ruizi Peng China
Martin Fischlechner United Kingdom
Geoff Baldwin United Kingdom
Michaël Ryckelynck relative to Brian M. Paegel United States Brian M. Paegel's profile →
Citations per field
00.5×2.7×
Brian M. Paegel · 1×
Citations per year

Countries citing papers authored by Michaël Ryckelynck

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Ryckelynck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Ryckelynck

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Ryckelynck. A scholar is included among the top collaborators of Michaël Ryckelynck 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 Michaël Ryckelynck. Michaël Ryckelynck 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 0
2 0
3 2
4 2
5 4
6 5
7 14
8 3
9 4
10 7
11 20
12 9
13 93
14 105
15 21
16 207
17 100
18 63
19 203
20 24

About Michaël Ryckelynck

Michaël Ryckelynck is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering, having authored 45 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (24 papers), Advanced biosensing and bioanalysis techniques (19 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (15 papers). The work is most often cited by research in Biomedical Engineering (1.5k citations), Molecular Biology (1.4k citations) and Biophysics (74 citations). Michaël Ryckelynck has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Alexis Autour, Jean‐Christophe Baret, Andrew D. Griffiths, Valérie Taly, Lucas Frenz, J. Brian Hutchison, Oliver J. Miller, Darren R. Link, Éric Westhof and Michael L. Samuels. Their work appears in journals such as Science, Journal of the American Chemical Society and Nucleic Acids Research.

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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