Masako Tomita
- Epidemiology top 5%
- Physiology top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 5%
- Nephrology top 5%
- Co-authors
- N.-H. Choi-MiuraToshio MazdaTakashi TobeYasuko NakanoDavid D. BrandonD. Lynn LoriauxGeorge P. ChrousosMortimer B. Lipsett
- Topics
- Stress Responses and Cortisol (5 papers)Adrenal Hormones and Disorders (5 papers)Gout, Hyperuricemia, Uric Acid (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismEndocrinologyEuropean Journal of Endocrinology
- Partner nations
- JapanUnited StatesHungary
In The Last Decade
Masako Tomita
25 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Epidemiology 713
- Physiology 455
- Molecular Biology 259
- Endocrine and Autonomic Systems 212
- Nephrology 199
Countries citing papers authored by Masako Tomita
This map shows the geographic impact of Masako Tomita'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 Masako Tomita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masako Tomita more than expected).
Fields of papers citing papers by Masako Tomita
This network shows the impact of papers produced by Masako Tomita. 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 Masako Tomita. The network helps show where Masako Tomita may publish in the future.
Co-authorship network of co-authors of Masako Tomita
This figure shows the co-authorship network connecting the top 25 collaborators of Masako Tomita. A scholar is included among the top collaborators of Masako Tomita 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 Masako Tomita. Masako Tomita 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 | 5 | |
| 3 | 23 | |
| 4 | [Epidemiology of hyperuricemia]. | 1 |
| 5 | 40 | |
| 6 | 197 | |
| 7 | 11 | |
| 8 | 36 | |
| 9 | Isolation and Characterization of GBP28, a Novel Gelatin-Binding Protein Purified from Human Plasmabreakdown → | 726 |
| 10 | 9 | |
| 11 | 29 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 30 | |
| 15 | 31 | |
| 16 | 21 | |
| 17 | 56 | |
| 18 | 35 | |
| 19 | 34 | |
| 20 | 5 |
About Masako Tomita
Masako Tomita is a scholar working on Behavioral Neuroscience, Leadership and Management and Nephrology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (5 papers), Adrenal Hormones and Disorders (5 papers) and Gout, Hyperuricemia, Uric Acid (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (212 citations), Nephrology (199 citations) and Behavioral Neuroscience (90 citations). Masako Tomita has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include N.-H. Choi-Miura, Toshio Mazda, Takashi Tobe, Yasuko Nakano, David D. Brandon, D. Lynn Loriaux, George P. Chrousos, Mortimer B. Lipsett, Momoko Yamaguchi and Yutaka Hosoda. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and European Journal of Endocrinology.
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.