M. Nishida
- Reproductive Medicine top 2%
- Obstetrics and Gynecology top 5%
- Molecular Biology
- Immunology
- Pathology and Forensic Medicine
- Co-authors
- N SatoY MorishitaHajime TsunodaTakeshi KuboMichiya NoguchiKaei NasuNoriyuki TakaiTami Miyazaki
- Topics
- DNA and Nucleic Acid Chemistry (2 papers)Caveolin-1 and cellular processes (2 papers)Ovarian cancer diagnosis and treatment (2 papers)
- Journals
- American Journal of Physiology-Heart and Circulatory PhysiologyAtherosclerosisHuman Genetics
- Partner nations
- Japan
In The Last Decade
M. Nishida
8 papers receiving 444 citations
Peers
Comparison fields: 5 of 60
- Reproductive Medicine 311
- Obstetrics and Gynecology 174
- Molecular Biology 133
- Immunology 84
- Pathology and Forensic Medicine 48
Countries citing papers authored by M. Nishida
This map shows the geographic impact of M. Nishida'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 M. Nishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Nishida more than expected).
Fields of papers citing papers by M. Nishida
This network shows the impact of papers produced by M. Nishida. 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 M. Nishida. The network helps show where M. Nishida may publish in the future.
Co-authorship network of co-authors of M. Nishida
This figure shows the co-authorship network connecting the top 25 collaborators of M. Nishida. A scholar is included among the top collaborators of M. Nishida 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 M. Nishida. M. Nishida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 41 | |
| 5 | Loss of heterozygosity on 10q23.3 and mutation of the tumor suppressor gene PTEN in benign endometrial cyst of the ovary: possible sequence progression from benign endometrial cyst to endometrioid carcinoma and clear cell carcinoma of the ovary. | 354 |
| 6 | 21 | |
| 7 | Clinical evaluation of gammaglobulin preparations for the treatment of Kawasaki disease. | 4 |
| 8 | Hypersensitivity of the exposed root surface after surgical periodontal treatment | 12 |
| 9 | 17 |
About M. Nishida
M. Nishida is a scholar working on Reproductive Medicine, Biophysics and Urology, having authored 9 papers that have together received 453 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (2 papers), Caveolin-1 and cellular processes (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Reproductive Medicine (311 citations), Obstetrics and Gynecology (174 citations) and Immunology (84 citations). M. Nishida has collaborated with scholars based in Japan. Frequent co-authors include N Sato, Y Morishita, Hajime Tsunoda, Takeshi Kubo, Michiya Noguchi, Kaei Nasu, Noriyuki Takai, Tami Miyazaki, Isao Miyakawa and Tohru Maeda. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Atherosclerosis and Human Genetics.
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.