Yo Hotta

626 total citations
17 papers, 514 citations indexed

About

Yo Hotta is a scholar working on Epidemiology, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Yo Hotta has authored 17 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Physiology and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Yo Hotta's work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (4 papers) and Regulation of Appetite and Obesity (4 papers). Yo Hotta is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (4 papers) and Regulation of Appetite and Obesity (4 papers). Yo Hotta collaborates with scholars based in Japan, United States and Netherlands. Yo Hotta's co-authors include Hideaki Toyoshima, Hiroshi Yatsuya, Kunihiro Matsushita, Hirotsugu Mitsuhashi, Rei Otsuka, Koji Tamakoshi, Keiko Wada, Seiko Takefuji, Kaichiro Sugiura and Pei Ouyang and has published in prestigious journals such as Hypertension, Journal of Clinical Epidemiology and Preventive Medicine.

In The Last Decade

Yo Hotta

17 papers receiving 499 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yo Hotta Japan 12 192 168 126 118 112 17 514
Hirotsugu Mitsuhashi Japan 14 189 1.0× 166 1.0× 167 1.3× 111 0.9× 108 1.0× 26 579
Virginia Genelhu Brazil 11 110 0.6× 183 1.1× 110 0.9× 92 0.8× 127 1.1× 17 451
Alfonso Otero-González Spain 5 154 0.8× 142 0.8× 91 0.7× 190 1.6× 65 0.6× 5 542
Emílio Antônio Francischetti Brazil 17 196 1.0× 224 1.3× 228 1.8× 126 1.1× 105 0.9× 38 727
Damian Skrypnik Poland 17 154 0.8× 211 1.3× 116 0.9× 129 1.1× 113 1.0× 60 736
Heriberto Rodríguez-Hernández Mexico 9 257 1.3× 149 0.9× 69 0.5× 144 1.2× 54 0.5× 17 605
Ming-May Lai Taiwan 10 134 0.7× 114 0.7× 64 0.5× 90 0.8× 55 0.5× 15 486
Qiang Zeng China 13 107 0.6× 204 1.2× 170 1.3× 163 1.4× 126 1.1× 26 638
Dante Saksono Harbuwono Indonesia 11 167 0.9× 168 1.0× 116 0.9× 247 2.1× 72 0.6× 50 635
Alonso Romo-Romo Mexico 8 143 0.7× 122 0.7× 99 0.8× 273 2.3× 86 0.8× 17 587

Countries citing papers authored by Yo Hotta

Since Specialization
Citations

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

Fields of papers citing papers by Yo Hotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yo Hotta

This figure shows the co-authorship network connecting the top 25 collaborators of Yo Hotta. A scholar is included among the top collaborators of Yo Hotta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yo Hotta. Yo Hotta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Kato, Ayako, Yuanying Li, Atsuhiko Ota, et al.. (2019). <p>Smoking results in accumulation of ectopic fat in the liver</p>. Diabetes Metabolic Syndrome and Obesity. Volume 12. 1075–1080. 7 indexed citations
2.
Yatsuya, Hiroshi, Takashi Nihashi, Yuanying Li, et al.. (2013). Independent association of liver fat accumulation with insulin resistance. Obesity Research & Clinical Practice. 8(4). e350–e355. 16 indexed citations
3.
Muramatsu, Takashi, Hiroshi Yatsuya, Hideaki Toyoshima, et al.. (2010). Higher dietary intake of alpha-linolenic acid is associated with lower insulin resistance in middle-aged Japanese. Preventive Medicine. 50(5-6). 272–276. 40 indexed citations
4.
Mitsuhashi, Hirotsugu, Hiroshi Yatsuya, Kunihiro Matsushita, et al.. (2009). Uric Acid and Left Ventricular Hypertrophy in Japanese Men. Circulation Journal. 73(4). 667–672. 47 indexed citations
5.
Ouyang, Pei, Hiroshi Yatsuya, Hideaki Toyoshima, et al.. (2009). Changes in activities of daily living, physical fitness, and depressive symptoms after six-month periodic well-rounded exercise programs for older adults living in nursing homes or special nursing facilities.. PubMed. 71(3-4). 115–26. 8 indexed citations
6.
Sugiura, Kaichiro, Koji Tamakoshi, Hiroshi Yatsuya, et al.. (2008). Contribution of adipocytokines to low-grade inflammatory state as expressed by circulating C-reactive protein in Japanese men: Comparison of leptin and adiponectin. International Journal of Cardiology. 130(2). 159–164. 14 indexed citations
7.
Hotta, Yo, Hiroshi Yatsuya, Hideaki Toyoshima, et al.. (2008). Low leptin but high insulin resistance of smokers in Japanese men. Diabetes Research and Clinical Practice. 81(3). 358–364. 11 indexed citations
8.
Otsuka, Rei, Koji Tamakoshi, Keiko Wada, et al.. (2008). Having More Healthy Practice was Associated with Low White Blood Cell Counts in Middle-aged Japanese Male and Female Workers. Industrial Health. 46(4). 341–347. 8 indexed citations
9.
Wada, Keiko, Hiroshi Yatsuya, Pei Ouyang, et al.. (2008). Self-reported medical history was generally accurate among Japanese workplace population. Journal of Clinical Epidemiology. 62(3). 306–313. 53 indexed citations
10.
Wada, Keiko, Koji Tamakoshi, Pei Ouyang, et al.. (2008). Association Between Low Birth Weight and Elevated White Blood Cell Count in Adulthood Within a Japanese Population. Circulation Journal. 72(5). 757–763. 4 indexed citations
11.
Takefuji, Seiko, Hiroshi Yatsuya, Koji Tamakoshi, et al.. (2007). Smoking status and adiponectin in healthy Japanese men and women. Preventive Medicine. 45(6). 471–475. 37 indexed citations
12.
Otsuka, Rei, Koji Tamakoshi, Hiroshi Yatsuya, et al.. (2007). Eating fast leads to insulin resistance: Findings in middle-aged Japanese men and women. Preventive Medicine. 46(2). 154–159. 115 indexed citations
13.
Matsushita, Kunihiro, Koji Tamakoshi, Hiroshi Yatsuya, et al.. (2007). Further inflammatory information on metabolic syndrome by adiponectin evaluation. International Journal of Cardiology. 124(3). 339–344. 11 indexed citations
14.
Mitsuhashi, Hirotsugu, Hiroshi Yatsuya, Koji Tamakoshi, et al.. (2007). Adiponectin Level and Left Ventricular Hypertrophy in Japanese Men. Hypertension. 49(6). 1448–1454. 53 indexed citations
15.
Matsushita, Kunihiro, Hiroshi Yatsuya, Koji Tamakoshi, et al.. (2007). High-Sensitivity C-Reactive Protein is Quite Low in Japanese Men at High Coronary Risk. Circulation Journal. 71(6). 820–825. 24 indexed citations
16.
Tamakoshi, Koji, Hiroshi Yatsuya, Keiko Wada, et al.. (2006). The transition to menopause reinforces adiponectin production and its contribution to improvement of insulin‐resistant state. Clinical Endocrinology. 66(1). 65–71. 41 indexed citations
17.
Tamakoshi, Koji, Hiroshi Yatsuya, Keiko Wada, et al.. (2006). Birth Weight and Adult Hypertension Cross-Sectional Study in a Japanese Workplace Population. Circulation Journal. 70(3). 262–267. 25 indexed citations

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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