Satoshi Kishigami
Impact in
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- Reproductive Biology and Fertility
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Epigenetics and DNA Methylation
Papers in
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- Reproductive Biology and Fertility 59
-
- Sperm and Testicular Function 10
- Co-authors
- Teruhiko WakayamaSayaka WakayamaNguyen Van ThuanEiji MizutaniTakafusa HikichiHiroshi OhtaHong‐Thuy BuiYuji Mishina
- Journals
- Journal of Reproduction and Development (11 papers)Biology of Reproduction (8 papers)Scientific Reports (6 papers)Reproduction Fertility and Development (5 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Satoshi Kishigami
96 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Public Health, Environmental and Occupational Health 1.7k
- Molecular Biology 3.3k
- Aging 70
- Reproductive Medicine 283
- Genetics 932
Countries citing papers authored by Satoshi Kishigami
This map shows the geographic impact of Satoshi Kishigami'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 Satoshi Kishigami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Kishigami more than expected).
Fields of papers citing papers by Satoshi Kishigami
This network shows the impact of papers produced by Satoshi Kishigami. 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 Satoshi Kishigami. The network helps show where Satoshi Kishigami may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Satoshi Kishigami, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2018 | 22 | |
| 6 | 2017 | 140 | |
| 7 | 2016 | 6 | |
| 8 | 2016 | 4 | |
| 9 | 2013 | 19 | |
| 10 | 2012 | 18 | |
| 11 | 2010 | 87 | |
| 12 | 2006 | 32 | |
| 13 | 2006 | 13 | |
| 14 | 2006 | 92 | |
| 15 | 2005 | 109 | |
| 16 | 2005 | 480 | |
| 17 | 2004 | 46 | |
| 18 | 2004 | 47 | |
| 19 | 2004 | 9 | |
| 20 | 1995 | 67 |
About Satoshi Kishigami
Satoshi Kishigami is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Molecular Biology, Aging and Developmental Neuroscience, having authored 102 papers that have together received 4.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (59 papers), Pluripotent Stem Cells Research (45 papers), Renal and related cancers (20 papers), CRISPR and Genetic Engineering (18 papers), Epigenetics and DNA Methylation (13 papers), Animal Genetics and Reproduction (12 papers), Sperm and Testicular Function (10 papers) and Birth, Development, and Health (7 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.7k citations), Molecular Biology (3.3k citations), Aging (70 citations), Reproductive Medicine (283 citations) and Genetics (932 citations). Satoshi Kishigami has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Teruhiko Wakayama, Sayaka Wakayama, Nguyen Van Thuan, Eiji Mizutani, Takafusa Hikichi, Hiroshi Ohta, Hong‐Thuy Bui, Yuji Mishina, Koreaki Ito and Kenzo Tokunaga. Their work appears in journals such as Journal of Reproduction and Development, Biology of Reproduction, Scientific Reports, Reproduction Fertility and Development and Journal of Biological Chemistry.
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.