Jotun Hein
Impact in
- Genetics top 0.5%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Machine Learning in Bioinformatics
Papers in
-
- Genomics and Phylogenetic Studies 54
- RNA and protein synthesis mechanisms 31
- Machine Learning in Bioinformatics 9
- Bioinformatics and Genomic Networks 8
- Genetics 45
- Evolution and Genetic Dynamics 16
- Genetic diversity and population structure 13
- Co-authors
- Mikkel Heide Schierup (7 shared papers)Carsten Wiuf (10 shared papers)Bjarne Knudsen (2 shared papers)Gerton Lunter (9 shared papers)Birgitta R. Knudsen (1 shared paper)Yun S. Song (5 shared papers)Rune B. Lyngsø (13 shared papers)Mike Steel (4 shared papers)
- Journals
- Bioinformatics (17 papers)Molecular Biology and Evolution (11 papers)BMC Bioinformatics (9 papers)Genetics (7 papers)PLoS Computational Biology (6 papers)
- Partner nations
- United KingdomDenmarkUnited States
In The Last Decade
Jotun Hein
113 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 160
- Genetics 2.2k
- Molecular Biology 3.5k
- Paleontology 239
- Virology 131
- Animal Science and Zoology 241
Countries citing papers authored by Jotun Hein
This map shows the geographic impact of Jotun Hein'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 Jotun Hein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jotun Hein more than expected).
Fields of papers citing papers by Jotun Hein
This network shows the impact of papers produced by Jotun Hein. 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 Jotun Hein. The network helps show where Jotun Hein may publish in the future.
Co-authors
The 25 scholars most cited alongside Jotun Hein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 462 | |
| 2 | 1990 | 349 | |
| 3 | 2003 | 314 | |
| 4 | Gene Genealogies, Variation and Evolution: A Primer in Coalescent Theory | 2005 | 313 |
| 5 | 1999 | 237 | |
| 6 | 1990 | 181 | |
| 7 | 1993 | 165 | |
| 8 | 2006 | 143 | |
| 9 | 2004 | 141 | |
| 10 | 1989 | 137 | |
| 11 | 2002 | 132 | |
| 12 | 1996 | 128 | |
| 13 | 1999 | 120 | |
| 14 | 2005 | 112 | |
| 15 | 2009 | 109 | |
| 16 | 2010 | 104 | |
| 17 | 2000 | 104 | |
| 18 | 2007 | 97 | |
| 19 | 2001 | 93 | |
| 20 | 2004 | 70 |
About Jotun Hein
Jotun Hein is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Plant Science and Pulmonary and Respiratory Medicine, having authored 115 papers that have together received 5.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (54 papers), RNA and protein synthesis mechanisms (31 papers), Evolution and Genetic Dynamics (16 papers), Chromosomal and Genetic Variations (15 papers), Algorithms and Data Compression (15 papers), Genetic diversity and population structure (13 papers), Machine Learning in Bioinformatics (9 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Genetics (2.2k citations), Molecular Biology (3.5k citations), Paleontology (239 citations), Virology (131 citations) and Animal Science and Zoology (241 citations). Jotun Hein has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Mikkel Heide Schierup, Carsten Wiuf, Bjarne Knudsen, Gerton Lunter, Birgitta R. Knudsen, Yun S. Song, Rune B. Lyngsø, Mike Steel, Chris P. Ponting and Gail M. Preston. Their work appears in journals such as Bioinformatics, Molecular Biology and Evolution, BMC Bioinformatics, Genetics and PLoS Computational Biology.
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.