Erik Arner
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
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- Cancer-related molecular mechanisms research
Papers in
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- Genomics and Chromatin Dynamics 9
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 4
- Epigenetics and DNA Methylation 3
- Advanced biosensing and bioanalysis techniques 2
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- Adipose Tissue and Metabolism 4
- Co-authors
- Carsten O. Daub (11 shared papers)Yoshihide Hayashizaki (6 shared papers)Piero Carninci (10 shared papers)Harukazu Suzuki (6 shared papers)Michiel de Hoon (5 shared papers)Masayoshi Itoh (6 shared papers)Alistair R. R. Forrest (6 shared papers)Hideya Kawaji (6 shared papers)
In The Last Decade
Erik Arner
23 papers receiving 631 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 421
- Cancer Research 83
- Immunology 89
- Cell Biology 43
- Genetics 70
Countries citing papers authored by Erik Arner
This map shows the geographic impact of Erik Arner'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 Erik Arner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Arner more than expected).
Fields of papers citing papers by Erik Arner
This network shows the impact of papers produced by Erik Arner. 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 Erik Arner. The network helps show where Erik Arner may publish in the future.
Co-authors
The 25 scholars most cited alongside Erik Arner, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2009 | 75 | |
| 3 | 2011 | 70 | |
| 4 | 2009 | 59 | |
| 5 | 2015 | 46 | |
| 6 | 2015 | 38 | |
| 7 | 2022 | 35 | |
| 8 | 2011 | 32 | |
| 9 | 2010 | 31 | |
| 10 | 2019 | 28 | |
| 11 | 2014 | 21 | |
| 12 | 2019 | 19 | |
| 13 | 2021 | 17 | |
| 14 | 2016 | 16 | |
| 15 | 2023 | 14 | |
| 16 | 2009 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2019 | 5 |
About Erik Arner
Erik Arner is a scholar working on Molecular Biology, Physiology, Cancer Research, Epidemiology and Surgery, having authored 24 papers that have together received 636 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), RNA Research and Splicing (8 papers), Cancer-related molecular mechanisms research (4 papers), Adipose Tissue and Metabolism (4 papers), RNA and protein synthesis mechanisms (4 papers), Epigenetics and DNA Methylation (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Lymphatic System and Diseases (2 papers). The work is most often cited by research in Molecular Biology (421 citations), Cancer Research (83 citations), Immunology (89 citations), Cell Biology (43 citations) and Genetics (70 citations). Erik Arner has collaborated with scholars based in Japan, Sweden and Australia. Frequent co-authors include Carsten O. Daub, Yoshihide Hayashizaki, Piero Carninci, Harukazu Suzuki, Michiel de Hoon, Masayoshi Itoh, Alistair R. R. Forrest, Yoshihide Hayashizaki, Hideya Kawaji and Timo Lassmann. Their work appears in journals such as PLoS Computational Biology, Scientific Reports, Bioinformatics, Genome biology and iScience.
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.