Koryu Kin
Impact in
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
- Protist diversity and phylogeny
- Immunology top 10%
- Reproductive System and Pregnancy
Papers in
-
- Protist diversity and phylogeny 8
- Developmental Biology and Gene Regulation 4
- Genomics and Phylogenetic Studies 3
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- Cellular Mechanics and Interactions 6
- Microtubule and mitosis dynamics 3
- Co-authors
- Günter P. Wagner (7 shared papers)Vincent J. Lynch (4 shared papers)Hiroshi Wada (2 shared papers)Pauline Schaap (11 shared papers)Mauris C. Nnamani (1 shared paper)Elias Michaelides (1 shared paper)Jamie Maziarz (2 shared papers)Katsumi Miyazaki (1 shared paper)
- Journals
- Theory in Biosciences (2 papers)Genome Biology and Evolution (2 papers)BMC Genomics (2 papers)Scientific Reports (1 paper)Current Biology (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Koryu Kin
24 papers receiving 2.0k citations
Koryu Kin's Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.1k
- Immunology 303
- Cancer Research 214
- Aging 19
- Ecology 247
Countries citing papers authored by Koryu Kin
This map shows the geographic impact of Koryu Kin'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 Koryu Kin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koryu Kin more than expected).
Fields of papers citing papers by Koryu Kin
This network shows the impact of papers produced by Koryu Kin. 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 Koryu Kin. The network helps show where Koryu Kin may publish in the future.
Co-authors
The 25 scholars most cited alongside Koryu Kin, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples Hit paper breakdown → | 2012 | 1437 |
| 2 | 2013 | 127 | |
| 3 | 2009 | 69 | |
| 4 | 2015 | 64 | |
| 5 | 2014 | 62 | |
| 6 | 2008 | 40 | |
| 7 | 2016 | 29 | |
| 8 | 2014 | 26 | |
| 9 | 2012 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2018 | 20 | |
| 12 | 2021 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2019 | 12 | |
| 15 | 2015 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2021 | 4 |
About Koryu Kin
Koryu Kin is a scholar working on Molecular Biology, Cell Biology, Ecology, Evolution, Behavior and Systematics, Paleontology and Immunology, having authored 25 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (8 papers), Cellular Mechanics and Interactions (6 papers), Biocrusts and Microbial Ecology (4 papers), Endometriosis Research and Treatment (4 papers), Reproductive System and Pregnancy (4 papers), Developmental Biology and Gene Regulation (4 papers), Genomics and Phylogenetic Studies (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Immunology (303 citations), Cancer Research (214 citations), Aging (19 citations) and Ecology (247 citations). Koryu Kin has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Günter P. Wagner, Vincent J. Lynch, Hiroshi Wada, Pauline Schaap, Mauris C. Nnamani, Elias Michaelides, Jamie Maziarz, Katsumi Miyazaki, Gillian Forbes and Christina Schilde. Their work appears in journals such as Theory in Biosciences, Genome Biology and Evolution, BMC Genomics, Scientific Reports and Current 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.