Masako Tomita

1.7k citations
28 papers · 1.4k indexed · 1 hit paper · h-index 14

Masako Tomita

25 papers receiving 1.3k citations

Hit Papers

Isolation and Characterization of GBP28, a Novel Gelatin-...7261996202620062016200400600

Peers

Masako Tomita
Comparison fields: 5 of 103
  • Endocrine and Autonomic Systems 212
  • Nephrology 199
  • Behavioral Neuroscience 90
  • Epidemiology 713
  • Physiology 455
Replace Soraya Fellahi with:
Soraya Fellahi France
M. L. Clark United Kingdom
Jean‐Philippe Bastard France
Luis F. Carbonell Spain
R B Simsolo United States
Yii‐Der I. Chen United States
Mònica Sabater Spain
Hyeong Kyu Park South Korea
Nozomu Kamei Japan
Daniel Kraus Germany
Masako Tomita relative to Soraya Fellahi France Soraya Fellahi's profile →
Citations per field
00.5×3.5×
Soraya Fellahi · 1×
Citations per year

Countries citing papers authored by Masako Tomita

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Masako Tomita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masako Tomita Line = papers co-authored together Masako Tomita links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20095
3 200823
4
[Epidemiology of hyperuricemia].
20031
5 200040
6 2000197
7 199711
8 199636
9
Isolation and Characterization of GBP28, a Novel Gelatin-Binding Protein Purified from Human Plasmabreakdown →
1996726
10 19969
11 199529
12 19954
13 19926
14 198630
15 198631
16 198521
17 198456
18 198435
19 198334
20 19805

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), Gout, Hyperuricemia, Uric Acid (4 papers), Hypothalamic control of reproductive hormones (3 papers), Hormonal Regulation and Hypertension (3 papers), Glycosylation and Glycoproteins Research (2 papers), Workplace Health and Well-being (2 papers) and Alcohol Consumption and Health Effects (2 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.

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