K Matsumiya
- Reproductive Medicine top 2%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Genetics
- Surgery
- Co-authors
- Äkïhïko OkuyamaAkira TsujimuraMasami TakeyamaYasushi MiyagawaHideki FujiokaHidenobu MiuraHisakazu KiyoharaMasashi Koga
- Topics
- Sexual Differentiation and Disorders (9 papers)Sperm and Testicular Function (8 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers)
- Partner nations
- Japan
In The Last Decade
K Matsumiya
47 papers receiving 607 citations
Peers
Comparison fields: 5 of 69
- Reproductive Medicine 342
- Molecular Biology 254
- Public Health, Environmental and Occupational Health 162
- Genetics 134
- Surgery 112
Countries citing papers authored by K Matsumiya
This map shows the geographic impact of K Matsumiya'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 K Matsumiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Matsumiya more than expected).
Fields of papers citing papers by K Matsumiya
This network shows the impact of papers produced by K Matsumiya. 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 K Matsumiya. The network helps show where K Matsumiya may publish in the future.
Co-authorship network of co-authors of K Matsumiya
This figure shows the co-authorship network connecting the top 25 collaborators of K Matsumiya. A scholar is included among the top collaborators of K Matsumiya 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 K Matsumiya. K Matsumiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 4 | |
| 3 | 42 | |
| 4 | 30 | |
| 5 | 9 | |
| 6 | 27 | |
| 7 | 1 | |
| 8 | 145 | |
| 9 | 20 | |
| 10 | 30 | |
| 11 | 2 | |
| 12 | 34 | |
| 13 | 9 | |
| 14 | 10 | |
| 15 | HGF prevents tacrolimus (FK 506)-induced nephrotoxicity in SHR rats. | 5 |
| 16 | 72 | |
| 17 | [Vanishing testis syndrome]. | 1 |
| 18 | 52 | |
| 19 | [A case of adrenal myelolipoma]. | 1 |
| 20 | [Hydronephrosis caused by Crohn's disease: a case report--review of 41 cases with urinary tract complication reported in Japan]. | 3 |
About K Matsumiya
K Matsumiya is a scholar working on Reproductive Medicine, Complementary and Manual Therapy and Transplantation, having authored 49 papers that have together received 628 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (9 papers), Sperm and Testicular Function (8 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers). The work is most often cited by research in Reproductive Medicine (342 citations), Transplantation (30 citations) and Endocrinology, Diabetes and Metabolism (98 citations). K Matsumiya has collaborated with scholars based in Japan. Frequent co-authors include Äkïhïko Okuyama, Akira Tsujimura, Masami Takeyama, Yasushi Miyagawa, Hideki Fujioka, Hidenobu Miura, Hisakazu Kiyohara, Masashi Koga, Akira Tohda and Toshihiko Haisa. Their work appears in journals such as Journal of neurosurgery, Human Reproduction and Biology of Reproduction.
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.