Mika Takeuchi

537 citations
63 papers · 366 · h-index 10

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 18
    • Liver Disease Diagnosis and Treatment 9
    • Adipose Tissue and Metabolism 9
    • Diet and metabolism studies 7
    • Nutrition and Health in Aging 5

Mika Takeuchi

58 papers receiving 358 citations

Peers

Mika Takeuchi
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 81
  • Physiology 97
  • Nephrology 24
  • Epidemiology 109
  • Endocrine and Autonomic Systems 14
Replace Anna Axelsson Raja with:
Anna Axelsson Raja Denmark
Maaike Goris Netherlands
Mengdi Li China
Alessandro Terreni Italy
Mónica Recasens Spain
Lisa Strömmer Sweden
Annika Svensson United States
Yukihiro Fukuda Japan
Xuemei Li China
Giorgio Colombo Italy
Mika Takeuchi relative to Anna Axelsson Raja Denmark Anna Axelsson Raja's profile →
Citations per field
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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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201952
2 200132
3 201723
4 201516
5 202315
6 201815
7 201314
8 202012
9 202012
10 202210
11 20229
12 20158
13 20238
14 20108
15 20227
16 20227
17 20037
18 20197
19 20176
20 20206

About Mika Takeuchi

Mika Takeuchi is a scholar working on Epidemiology, Physiology, Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine, having authored 63 papers that have together received 366 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Adipose Tissue and Metabolism (9 papers), Liver Disease Diagnosis and Treatment (9 papers), Diet and metabolism studies (7 papers), Diet, Metabolism, and Disease (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Nutrition and Health in Aging (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (81 citations), Physiology (97 citations), Nephrology (24 citations), Epidemiology (109 citations) and Endocrine and Autonomic Systems (14 citations). Mika Takeuchi has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Miki Kurata, Keisuke Fukuo, Tsutomu Kazumi, Ayaka Tsuboi, Kaori Kitaoka, Shin Nagai, Kazuhito Ichii, Hiroki Yoshioka, Tomoaki Miura 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 Cancer.

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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