Michiel de Hoon

141 total papers · 21.4k total citations
67 papers, 9.5k citations indexed

About

Michiel de Hoon is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Michiel de Hoon has authored 67 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 15 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Michiel de Hoon's work include RNA and protein synthesis mechanisms (13 papers), Cancer-related molecular mechanisms research (13 papers) and RNA Research and Splicing (12 papers). Michiel de Hoon is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Cancer-related molecular mechanisms research (13 papers) and RNA Research and Splicing (12 papers). Michiel de Hoon collaborates with scholars based in Japan, United States and Australia. Michiel de Hoon's co-authors include Satoru Miyano, Seiya Imoto, John P. Nolan, Brad Chapman, Iddo Friedberg, Tiago Antão, Peter Cock, Andrew Dalke, Frank Kauff and Jeffrey T. Chang and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Michiel de Hoon

64 papers receiving 9.4k citations

Hit Papers

Biopython: freely availab... 2004 2026 2011 2018 2009 2004 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michiel de Hoon 6.9k 1.4k 1.2k 1000 856 67 9.5k
Rob Patro 5.6k 0.8× 1.1k 0.8× 878 0.7× 1.4k 1.4× 1.0k 1.2× 62 9.0k
Páll Melsted 5.6k 0.8× 871 0.6× 1.2k 1.0× 1.6k 1.6× 955 1.1× 32 9.3k
Wendy V. Gilbert 9.1k 1.3× 1.1k 0.8× 1.9k 1.5× 964 1.0× 538 0.6× 60 11.1k
Daniel Blankenberg 5.5k 0.8× 641 0.5× 1.2k 1.0× 1.2k 1.2× 555 0.6× 49 8.7k
Carl Kingsford 7.8k 1.1× 1.0k 0.7× 1.5k 1.2× 2.4k 2.4× 1.1k 1.2× 93 12.3k
Cédric Notredame 9.5k 1.4× 1.6k 1.2× 1.7k 1.4× 1.8k 1.8× 605 0.7× 105 13.2k
Tobias Doerks 10.5k 1.5× 1.2k 0.9× 1.6k 1.3× 2.3k 2.3× 1.1k 1.3× 48 14.2k
Fran Supek 4.4k 0.6× 1.1k 0.8× 1.2k 1.0× 1.2k 1.2× 478 0.6× 57 7.2k
Mostafa Ronaghi 5.2k 0.8× 673 0.5× 1.1k 0.9× 598 0.6× 629 0.7× 101 8.4k
Michael L. Metzker 5.0k 0.7× 786 0.6× 1.8k 1.4× 755 0.8× 412 0.5× 35 7.6k

Countries citing papers authored by Michiel de Hoon

Since Specialization
Citations

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

Fields of papers citing papers by Michiel de Hoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michiel de Hoon

This figure shows the co-authorship network connecting the top 25 collaborators of Michiel de Hoon. A scholar is included among the top collaborators of Michiel de Hoon 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 de Hoon. Michiel de Hoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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