Mari Murashita
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics
- Physiology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Ichiro KusumiHiroshi HosodaTsukasa KoyamaKenji KangawaToshihiro TajimaJun NakaeKenji FujiedaNozomi Shinohara
- Topics
- Growth Hormone and Insulin-like Growth Factors (6 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers)Sexual Differentiation and Disorders (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismJournal of Investigative DermatologyJournal of Cellular Physiology
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Mari Murashita
16 papers receiving 441 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 207
- Endocrinology, Diabetes and Metabolism 179
- Genetics 119
- Physiology 105
- Endocrine and Autonomic Systems 96
Countries citing papers authored by Mari Murashita
This map shows the geographic impact of Mari Murashita'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 Mari Murashita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mari Murashita more than expected).
Fields of papers citing papers by Mari Murashita
This network shows the impact of papers produced by Mari Murashita. 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 Mari Murashita. The network helps show where Mari Murashita may publish in the future.
Co-authorship network of co-authors of Mari Murashita
This figure shows the co-authorship network connecting the top 25 collaborators of Mari Murashita. A scholar is included among the top collaborators of Mari Murashita 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 Mari Murashita. Mari Murashita 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 | 36 | |
| 3 | 42 | |
| 4 | 97 | |
| 5 | 11 | |
| 6 | 6 | |
| 7 | 38 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 54 | |
| 11 | 35 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 50 | |
| 15 | 14 | |
| 16 | 43 |
About Mari Murashita
Mari Murashita is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Urology, having authored 16 papers that have together received 452 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers) and Sexual Differentiation and Disorders (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (96 citations), Endocrinology, Diabetes and Metabolism (179 citations) and Biological Psychiatry (12 citations). Mari Murashita has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Ichiro Kusumi, Hiroshi Hosoda, Tsukasa Koyama, Kenji Kangawa, Toshihiro Tajima, Jun Nakae, Kenji Fujieda, Nozomi Shinohara, Christopher J. Wraight and George A. Werther. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Investigative Dermatology and Journal of Cellular Physiology.
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.