Katsumi Yoshida

4.8k citations
253 papers · 3.7k indexed · h-index 29

Katsumi Yoshida

242 papers receiving 3.5k citations

Peers

Katsumi Yoshida
Comparison fields: 5 of 177
  • Health, Toxicology and Mutagenesis 639
  • Endocrinology, Diabetes and Metabolism 730
  • Experimental and Cognitive Psychology 417
  • Endocrine and Autonomic Systems 163
  • Public Health, Environmental and Occupational Health 645
Replace Poul Suadicani with:
Poul Suadicani Denmark
Daehee Kang South Korea
Lisa Gallicchio United States
Margit Heier Germany
Yao He China
Lin Xu China
Hans Ole Hein Denmark
Hannelore Löwel Germany
Anoop Shankar United States
Yu Guo China
Katsumi Yoshida relative to Poul Suadicani Denmark Poul Suadicani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Katsumi Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Katsumi Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20121
3
Advantages and Disadvantages of Neural Networks for Predicting Clinical Outcomes.
20072
4
[Prevalence of metabolic syndrome and its association with cardiovascular diseases].
20065
5 200514
6 20052
7 20051
8 20051
9 200536
10
[The Autonomic Nervous Activity in Patients with Essential Hypertension who Showed Early Morning Rise of Blood Pressure].
20032
11 199818
12 199516
13 19886
14 1988197
15 19876
16 19872
17 198647
18
198211
19
IMMUNOLOGICAL PARAMETERS IN LEAD WORKERS
19804
20 19804

About Katsumi Yoshida

Katsumi Yoshida is a scholar working on Endocrinology, Diabetes and Metabolism, Critical Care and Intensive Care Medicine and Health, Toxicology and Mutagenesis, having authored 253 papers that have together received 3.7k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (63 papers), Growth Hormone and Insulin-like Growth Factors (19 papers), Obesity, Physical Activity, Diet (18 papers), Thyroid Cancer Diagnosis and Treatment (17 papers), Nosocomial Infections in ICU (12 papers), Air Quality and Health Impacts (12 papers), Heavy Metal Exposure and Toxicity (10 papers) and Ion channel regulation and function (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (639 citations), Endocrinology, Diabetes and Metabolism (730 citations) and Experimental and Cognitive Psychology (417 citations). Katsumi Yoshida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroki Sugimori, Machi Suka, Sadanobu Kagamimori, Takashi Yamagami, Machi Suka, Michikazu Sekine, Seiichi Uesugi, Morio Ikehara, Kouki Mori and Seiichiro Nanri. Their work appears in journals such as Environmental Health and Preventive Medicine, Thyroid, The Journal of Clinical Endocrinology & Metabolism, Modern Rheumatology and Clinical Endocrinology.

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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