Kuniya Abe
Impact in
- Reproductive Medicine top 1%
- Sperm and Testicular Function
- Molecular Biology top 1%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Renal and related cancers
Papers in
- Biophysics 16
- Genetics 58
- Animal Genetics and Reproduction 26
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 18
- Co-authors
- Michihiko SugimotoTakashi TadaMasako TadaNorio NakatsujiYousuke TakahamaAtsushi YoshikiKen–ichi YamamuraNathan Mise
- Journals
- Mammalian Genome (8 papers)Scientific Reports (6 papers)Proceedings of the National Academy of Sciences (6 papers)Nucleic Acids Research (5 papers)Genes to Cells (5 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Kuniya Abe
154 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Reproductive Medicine 730
- Molecular Biology 5.8k
- Genetics 2.3k
- Aging 111
- Cellular and Molecular Neuroscience 851
Countries citing papers authored by Kuniya Abe
This map shows the geographic impact of Kuniya Abe'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 Kuniya Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuniya Abe more than expected).
Fields of papers citing papers by Kuniya Abe
This network shows the impact of papers produced by Kuniya Abe. 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 Kuniya Abe. The network helps show where Kuniya Abe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kuniya Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 10 | |
| 4 | 2021 | 12 | |
| 5 | 2019 | 7 | |
| 6 | 2017 | 39 | |
| 7 | 2017 | 12 | |
| 8 | 2013 | 197 | |
| 9 | 2010 | 188 | |
| 10 | 2009 | 12 | |
| 11 | 2009 | 16 | |
| 12 | 2006 | 121 | |
| 13 | 2006 | 21 | |
| 14 | 2003 | 469 | |
| 15 | 2003 | 257 | |
| 16 | Nuclear reprogramming of somatic cells by in vitro hybridization with ES cells Hit paper breakdown → | 2001 | 616 |
| 17 | 1997 | 23 | |
| 18 | 1996 | 32 | |
| 19 | 1992 | 24 | |
| 20 | 1991 | 5 |
About Kuniya Abe
Kuniya Abe is a scholar working on Biophysics, Genetics, Molecular Biology, Media Technology and Cancer Research, having authored 157 papers that have together received 8.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (35 papers), CRISPR and Genetic Engineering (28 papers), Animal Genetics and Reproduction (26 papers), Genomics and Chromatin Dynamics (23 papers), Epigenetics and DNA Methylation (23 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (18 papers), RNA Research and Splicing (18 papers) and Reproductive Biology and Fertility (16 papers). The work is most often cited by research in Reproductive Medicine (730 citations), Molecular Biology (5.8k citations), Genetics (2.3k citations), Aging (111 citations) and Cellular and Molecular Neuroscience (851 citations). Kuniya Abe has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Michihiko Sugimoto, Takashi Tada, Masako Tada, Norio Nakatsuji, Yousuke Takahama, Atsushi Yoshiki, Ken–ichi Yamamura, Nathan Mise, Kazuyuki Ohbo and Kazuyuki Mekada. Their work appears in journals such as Mammalian Genome, Scientific Reports, Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genes to Cells.
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.