Masahiro Nakashima
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Oncology top 2%
- Reproductive Medicine top 0.5%
- Immunology top 2%
- Co-authors
- Shunichi YamashitaAkira FujishitaKhaleque Newaz KhanMichio KitajimaШломо МелмедVladimir SaenkoTomayoshi HayashiAkira Ohtsuru
- Topics
- Thyroid Cancer Diagnosis and Treatment (43 papers)Cancer-related Molecular Pathways (34 papers)Endometriosis Research and Treatment (23 papers)
- Partner nations
- JapanUnited StatesKazakhstan
In The Last Decade
Masahiro Nakashima
195 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 153
- Molecular Biology 1.7k
- Endocrinology, Diabetes and Metabolism 1.6k
- Oncology 1.1k
- Reproductive Medicine 1.0k
- Immunology 1.0k
Countries citing papers authored by Masahiro Nakashima
This map shows the geographic impact of Masahiro Nakashima'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 Masahiro Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Nakashima more than expected).
Fields of papers citing papers by Masahiro Nakashima
This network shows the impact of papers produced by Masahiro Nakashima. 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 Masahiro Nakashima. The network helps show where Masahiro Nakashima may publish in the future.
Co-authorship network of co-authors of Masahiro Nakashima
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Nakashima. A scholar is included among the top collaborators of Masahiro Nakashima 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 Masahiro Nakashima. Masahiro Nakashima 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 28 | |
| 9 | 7 | |
| 10 | 13 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 20 | |
| 14 | 16 | |
| 15 | 123 | |
| 16 | 0 | |
| 17 | 9 | |
| 18 | 82 | |
| 19 | 323 | |
| 20 | End-users' Governance of Natural Resources : Irrigation Management Transfer in Mexico | 1 |
About Masahiro Nakashima
Masahiro Nakashima is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Oncology, having authored 208 papers that have together received 5.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (43 papers), Cancer-related Molecular Pathways (34 papers) and Endometriosis Research and Treatment (23 papers). The work is most often cited by research in Reproductive Medicine (1.0k citations), Endocrinology, Diabetes and Metabolism (1.6k citations) and Obstetrics and Gynecology (668 citations). Masahiro Nakashima has collaborated with scholars based in Japan, United States and Kazakhstan. Frequent co-authors include Shunichi Yamashita, Akira Fujishita, Khaleque Newaz Khan, Michio Kitajima, Шломо Мелмед, Vladimir Saenko, Tomayoshi Hayashi, Akira Ohtsuru, Ichiro Sekine and Koichi Hiraki. Their work appears in journals such as The Lancet, PLoS ONE 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.