Kenichi Kashimada
- Molecular Biology top 10%
- Genetics top 5%
- Reproductive Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Peter KoopmanTomohiro MorioKei TakasawaDavid SchlessingerEmanuele PelosiVincent R. HarleyTerje SvingenAtsumi Tsuji‐Hosokawa
- Topics
- Sexual Differentiation and Disorders (30 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (16 papers)Metabolism and Genetic Disorders (11 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Kenichi Kashimada
83 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 757
- Genetics 645
- Reproductive Medicine 216
- Endocrinology, Diabetes and Metabolism 161
- Public Health, Environmental and Occupational Health 147
Countries citing papers authored by Kenichi Kashimada
This map shows the geographic impact of Kenichi Kashimada'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 Kenichi Kashimada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichi Kashimada more than expected).
Fields of papers citing papers by Kenichi Kashimada
This network shows the impact of papers produced by Kenichi Kashimada. 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 Kenichi Kashimada. The network helps show where Kenichi Kashimada may publish in the future.
Co-authorship network of co-authors of Kenichi Kashimada
This figure shows the co-authorship network connecting the top 25 collaborators of Kenichi Kashimada. A scholar is included among the top collaborators of Kenichi Kashimada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenichi Kashimada. Kenichi Kashimada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 41 | |
| 13 | 26 | |
| 14 | 34 | |
| 15 | 38 | |
| 16 | 4 | |
| 17 | 8 | |
| 18 | 36 | |
| 19 | 18 | |
| 20 | 15 |
About Kenichi Kashimada
Kenichi Kashimada is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (30 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (16 papers) and Metabolism and Genetic Disorders (11 papers). The work is most often cited by research in Reproductive Medicine (216 citations), Genetics (645 citations) and Molecular Biology (757 citations). Kenichi Kashimada has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Peter Koopman, Tomohiro Morio, Kei Takasawa, David Schlessinger, Emanuele Pelosi, Vincent R. Harley, Terje Svingen, Atsumi Tsuji‐Hosokawa, Shuki Mizutani and Huijun Chen. Their work appears in journals such as PLoS ONE, Development and The Journal of Clinical Endocrinology & Metabolism.
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.