Mitsuhiro Katashima

1.3k citations
31 papers · 1.1k · h-index 13

Impact in

Papers in

Mitsuhiro Katashima

30 papers receiving 1k citations

Peers

Mitsuhiro Katashima
Comparison fields: 5 of 90
  • Endocrine and Autonomic Systems 54
  • Physiology 241
  • Endocrinology, Diabetes and Metabolism 117
  • Nutrition and Dietetics 89
  • Molecular Biology 316
Replace Shizuo Sakamoto with:
Shizuo Sakamoto Japan
Michelle Venables United Kingdom
Lee M. Margolis United States
Maryam Chamari Iran
Kokoro Tsuzaki Japan
Lucía Camacho‐Barcia Spain
Allain Amador Bueno United Kingdom
Emilia Papakonstantinou Greece
Sylvia Santosa Canada
Rodrigo Cauduro Oliveira Macedo Brazil
Mitsuhiro Katashima relative to Shizuo Sakamoto Japan Shizuo Sakamoto's profile →
Citations per field
00.5×2×2.5×
Shizuo Sakamoto · 1×
Citations per year

Countries citing papers authored by Mitsuhiro Katashima

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Katashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019317
2 2005244
3 201283
4 201749
5 201244
6 202138
7 202235
8 201230
9 201925
10 202322
11 201221
12 202318
13 201217
14 201013
15 201911
16 202111
17 20239
18 20108
19 20148
20 20198

About Mitsuhiro Katashima

Mitsuhiro Katashima is a scholar working on Nutrition and Dietetics, Physiology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (5 papers), Gut microbiota and health (5 papers), Nutrition, Health and Food Behavior (4 papers), Obesity, Physical Activity, Diet (4 papers), Tea Polyphenols and Effects (3 papers), Electrical and Bioimpedance Tomography (3 papers), Workplace Health and Well-being (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (54 citations), Physiology (241 citations), Endocrinology, Diabetes and Metabolism (117 citations), Nutrition and Dietetics (89 citations) and Molecular Biology (316 citations). Mitsuhiro Katashima has collaborated with scholars based in Japan and China. Frequent co-authors include Tohru F. Yamaguchi, Yoshihisa Katsuragi, Naoki Ozato, Kazushige Ihara, Seiya Imoto, Shigeyuki Nakaji, Kaori Sawada, Itoyo Tokuda, Shinichiro Saito and Masanori Kakuta. Their work appears in journals such as Nutrients, Physiological Measurement, Obesity Research & Clinical Practice, Diabetes Care and Journal of Functional Foods.

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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