Kohei Azuma

405 citations
16 papers · 266 · h-index 6

Impact in

  • Epidemiology top 10%
    • Inflammatory Myopathies and Dermatomyositis
  • Rheumatology top 10%
    • Eosinophilic Disorders and Syndromes

Papers in

Kohei Azuma

12 papers receiving 260 citations

Peers

Kohei Azuma
Comparison fields: 5 of 25
  • Epidemiology 221
  • Rheumatology 88
  • Dermatology 37
  • Neurology 21
  • Gastroenterology 7
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Renata Miossi Brazil
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C. Mavragani Greece
Albert Gil‐Vila Spain
Naoki Mugii Japan
Marie‐Therese Holzer Germany
Paul New United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Kohei Azuma

Since Specialization
Citations

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

Fields of papers citing papers by Kohei Azuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011103
2 201070
3 201163
4 19726
5 20206
6 20225
7 20224
8 20184
9 20251
10
Abstract 15306: Detection of Left Ventricular Diastolic Dysfunction Using P Wave Morphology on Electrocardiography
20131
11 20231
12 20231
13
A case with MPO-ANCA associated microscopic polyangiitis induced by Propylthiouracil treatment for hyperthyroidism and a minireview including 79 past cases
20101
14 20240
15 20220
16 20170

About Kohei Azuma

Kohei Azuma is a scholar working on Cardiology and Cardiovascular Medicine, Neurology, Epidemiology, Surgery and Rheumatology, having authored 16 papers that have together received 266 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (7 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Erythropoietin and Anemia Treatment (2 papers), Cardiovascular Function and Risk Factors (2 papers), Iron Metabolism and Disorders (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Parkinson's Disease and Spinal Disorders (2 papers) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Epidemiology (221 citations), Rheumatology (88 citations), Dermatology (37 citations), Neurology (21 citations) and Gastroenterology (7 citations). Kohei Azuma has collaborated with scholars based in Japan and United States. Frequent co-authors include Machiko Mizushima, Michiko Ohkubo, Yoshioki Yamasaki, Shoichi Ozaki, Hidehiro Yamada, Masaomi Yamasaki, Hitoshi Ogawa, H. Iwane, Koichi Nishimura and Yoshitaka Okuhara. Their work appears in journals such as Modern Rheumatology, Circulation, American Journal of Physiology-Heart and Circulatory Physiology, The Journal of Rheumatology and Heliyon.

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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