Peter A.C. ’t Hoen
- Molecular Biology top 0.5%
- Cancer Research top 1%
- Genetics top 2%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Johan T. den DunnenGert‐Jan B. van OmmenHenk P.J. BuermansEleonora de KlerkAnnemieke Aartsma‐RusYavuz AriyürekEsther N. M. Nolte‐‘t HoenMarca H. M. Wauben
- Topics
- Muscle Physiology and Disorders (44 papers)RNA Research and Splicing (35 papers)RNA modifications and cancer (30 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Peter A.C. ’t Hoen
202 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 6.1k
- Cancer Research 1.2k
- Genetics 1.0k
- Physiology 762
- Cardiology and Cardiovascular Medicine 723
Countries citing papers authored by Peter A.C. ’t Hoen
This map shows the geographic impact of Peter A.C. ’t Hoen'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 Peter A.C. ’t Hoen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter A.C. ’t Hoen more than expected).
Fields of papers citing papers by Peter A.C. ’t Hoen
This network shows the impact of papers produced by Peter A.C. ’t Hoen. 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 Peter A.C. ’t Hoen. The network helps show where Peter A.C. ’t Hoen may publish in the future.
Co-authorship network of co-authors of Peter A.C. ’t Hoen
This figure shows the co-authorship network connecting the top 25 collaborators of Peter A.C. ’t Hoen. A scholar is included among the top collaborators of Peter A.C. ’t Hoen 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 Peter A.C. ’t Hoen. Peter A.C. ’t Hoen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 28 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 11 | |
| 13 | 27 | |
| 14 | 20 | |
| 15 | 46 | |
| 16 | 13 | |
| 17 | Finding Novel Associations Across Domains Using Linked Data: a Case Study on Genetic Variants Disrupting Transcription Start Sites. | 1 |
| 18 | 79 | |
| 19 | 196 | |
| 20 | 9 |
About Peter A.C. ’t Hoen
Peter A.C. ’t Hoen is a scholar working on Molecular Biology, Information Systems and Management and Cancer Research, having authored 207 papers that have together received 7.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (44 papers), RNA Research and Splicing (35 papers) and RNA modifications and cancer (30 papers). The work is most often cited by research in Molecular Biology (6.1k citations), Cancer Research (1.2k citations) and Aging (66 citations). Peter A.C. ’t Hoen has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Johan T. den Dunnen, Gert‐Jan B. van Ommen, Henk P.J. Buermans, Eleonora de Klerk, Annemieke Aartsma‐Rus, Yavuz Ariyürek, Esther N. M. Nolte‐‘t Hoen, Marca H. M. Wauben, Willem Stoorvogel and Maaike Waasdorp. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.