Tomoya Mita

4.7k citations
109 papers · 2.8k indexed · h-index 29

Tomoya Mita

103 papers receiving 2.8k citations

Peers

Tomoya Mita
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Cardiology and Cardiovascular Medicine 729
  • Surgery 632
  • Nutrition and Dietetics 208
  • Endocrine and Autonomic Systems 89
Replace Bei Sun with:
Bei Sun China
Ravi Nistala United States
Kazunori Utsunomiya Japan
Ling He United States
Camila Manrique United States
Aurélie Nguyen Dinh Cat United Kingdom
Johannes Stegbauer Germany
Giulio Ceolotto Italy
Hirofumi Hitomi Japan
Tomoaki Ishigami Japan
Tomoya Mita relative to Bei Sun China Bei Sun's profile →
Citations per field
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Bei Sun · 1×
Citations per year

Countries citing papers authored by Tomoya Mita

Since Specialization
Citations

This map shows the geographic impact of Tomoya Mita'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 Tomoya Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoya Mita more than expected).

Fields of papers citing papers by Tomoya Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomoya Mita. 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 Tomoya Mita. The network helps show where Tomoya Mita may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tomoya Mita, 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 Tomoya Mita Line = papers co-authored together Tomoya Mita links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 202212
4 20220
5 20222
6 202130
7 202139
8 202120
9 20215
10 202036
11 20189
12 201722
13 20176
14 20168
15 201428
16 201333
17 201211
18 20118
19 200927
20
Effectiveness of combination therapy with a sulfonylurea and once-daily insulin glargine in Japanese type 2 diabetic patients -Evaluation of the long-term (18 months) results of the combination therapy-
20074

About Tomoya Mita

Tomoya Mita is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Genetics, Family Practice and Endocrine and Autonomic Systems, having authored 109 papers that have together received 2.8k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (45 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers), Diabetes Management and Research (29 papers), Cardiovascular Health and Disease Prevention (20 papers), Metabolism, Diabetes, and Cancer (17 papers), Cardiovascular Function and Risk Factors (14 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers) and Peptidase Inhibition and Analysis (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Cardiology and Cardiovascular Medicine (729 citations), Surgery (632 citations), Nutrition and Dietetics (208 citations) and Endocrine and Autonomic Systems (89 citations). Tomoya Mita has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Hirotaka Watada, Ryuzo Kawamori, Yoshio Fujitani, Takahisa Hirose, Kosuke Azuma, Takashi Nomiyama, Hiromasa Goto, Masayuki Arakawa, Chie Ebato and Akio Kanazawa. Their work appears in journals such as Diabetes Therapy, Biochemical and Biophysical Research Communications, Journal of Diabetes Investigation, Diabetes Research and Clinical Practice and Diabetes Care.

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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2026