Michiel Stock

1.7k total citations
54 papers, 829 citations indexed

About

Michiel Stock is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Michiel Stock has authored 54 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Ecology and 8 papers in Plant Science. Recurrent topics in Michiel Stock's work include Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (7 papers) and Bacteriophages and microbial interactions (7 papers). Michiel Stock is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (7 papers) and Bacteriophages and microbial interactions (7 papers). Michiel Stock collaborates with scholars based in Belgium, United Kingdom and Finland. Michiel Stock's co-authors include Bernard De Baets, Yves Briers, Willem Waegeman, Dimitri Boeckaerts, Bjorn Criel, Hans Gerstmans, Timothée Poisot, Antti Airola, Tapio Pahikkala and Francis wyffels and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Environmental Science & Technology.

In The Last Decade

Michiel Stock

50 papers receiving 815 citations

Peers

Michiel Stock
Comparison fields: 5 of 125
  • Molecular Biology 328
  • Ecology 263
  • Plant Science 103
  • Biomedical Engineering 70
  • Microbiology 66
Hao Xu China
Ming‐Chun Lee Taiwan
Jianhua Xiao China
Jonathan A. Butler United Kingdom
Hyun‐Joong Kim South Korea
Imran Rashid Pakistan
Junjie Zhang United States
Henry H. Lee United States
Hao Xu China View profile →
Citations per field, relative to Michiel Stock
Michiel Stock · 1×
Citations per year, relative to Michiel Stock
Michiel Stock · 1×

Countries citing papers authored by Michiel Stock

Since Specialization
Citations

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

Fields of papers citing papers by Michiel Stock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michiel Stock

This figure shows the co-authorship network connecting the top 25 collaborators of Michiel Stock. A scholar is included among the top collaborators of Michiel Stock 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 Michiel Stock. Michiel Stock 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
# Work Indexed citations
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3 1
4 3
5 7
6 12
7 14
8 30
9 1
10 30
11 9
12 31
13 1
14 14
15 9
16 4
17 13
18 20
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20
Learning monadic and dyadic relations : three case studies in systems biology
1

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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