Mika Takeuchi

556 citations
65 papers · 382 · h-index 12

Impact in

Papers in

Mika Takeuchi

59 papers receiving 374 citations

Peers

Mika Takeuchi
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 54
  • Nephrology 21
  • Physiology 60
  • Epidemiology 75
  • Cellular and Molecular Neuroscience 33
Replace Anna Axelsson Raja with:
Anna Axelsson Raja Denmark
Jonathan W. Swan United States
Óscar Díaz Spain
Giovanni Di Cola Italy
Yukihiro Fukuda Japan
Maaike Goris Netherlands
Mónica Recasens Spain
Tobias Daniel Trippel Germany
Rahul Jain United States
Xiaomin Liu China
Mika Takeuchi relative to Anna Axelsson Raja Denmark Anna Axelsson Raja's profile →
Citations per field
00.5×2.6×
Anna Axelsson Raja · 1×
Citations per year

Countries citing papers authored by Mika Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Mika Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201952
2 200132
3 201723
4 202316
5 201516
6 201815
7 201314
8 202212
9 202012
10 202012
11 202311
12 202211
13 20159
14 20228
15 20108
16 20227
17 20197
18 20037
19 20206
20 20176

About Mika Takeuchi

Mika Takeuchi is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Molecular Biology, having authored 65 papers that have together received 382 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Nutrition and Health in Aging (4 papers), Adipose Tissue and Metabolism (4 papers), Diet, Metabolism, and Disease (4 papers), Birth, Development, and Health (4 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (54 citations), Nephrology (21 citations), Physiology (60 citations), Epidemiology (75 citations) and Cellular and Molecular Neuroscience (33 citations). Mika Takeuchi has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Miki Kurata, Tsutomu Kazumi, Keisuke Fukuo, Ayaka Tsuboi, Kaori Kitaoka, Hiroki Yoshioka, Tomoaki Miura, Shin Nagai, Kazuhito Ichii and Bin Wu. Their work appears in journals such as Scientific Reports, BMJ Open Diabetes Research & Care, Metabolic Syndrome and Related Disorders, The International Journal of Tuberculosis and Lung Disease and Journal of Neurology Neurosurgery & Psychiatry.

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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