M Tanigaki

11 papers receiving 353 citations

Peers

M Tanigaki
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 162
  • Public Health, Environmental and Occupational Health 128
  • Nutrition and Dietetics 91
  • Epidemiology 90
  • Pathology and Forensic Medicine 62
Replace Xiongjing Jiang with:
Xiongjing Jiang China
Krystyna Widecka Poland
Makoto Tsuruta Japan
Emily Nosova United States
Katsuyuki Kawanishi Japan
E Briones United States
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P Gasparini Italy
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M Tanigaki relative to Xiongjing Jiang China Xiongjing Jiang's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by M Tanigaki

Since Specialization
Citations

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

Fields of papers citing papers by M Tanigaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Tanigaki

This figure shows the co-authorship network connecting the top 25 collaborators of M Tanigaki. A scholar is included among the top collaborators of M Tanigaki 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 M Tanigaki. M Tanigaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1
[Family make-up is associated with the admission rate of stroke patients--difference between Kochi and Shimane Prefectures and in a rural community].
1
2
[A nested case-control study of risk factors for intracerebral hemorrhage and cerebral infarction classified by computed tomographic findings].
7
3 2
4
[A population-based study of the proportion by type of stroke determined by computed tomography scan].
38
5 35
6
[A community-based education program for serum cholesterol reduction in urban hypercholesterolemic persons--comparison of intensive and usual education groups].
8
7
[Secular trends in prevalence and incidence of atrial fibrillation and associated factors in a Japanese rural population].
12
8 92
9 62
10 7
11 1
12 118

About M Tanigaki

M Tanigaki is a scholar working on Rehabilitation, Biochemistry and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 383 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (3 papers), Nutritional Studies and Diet (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (162 citations), Nutrition and Dietetics (91 citations) and Public Health, Environmental and Occupational Health (128 citations). M Tanigaki has collaborated with scholars based in Japan. Frequent co-authors include Yoshio Komachi, Hideki Ozawa, Hirotsugu Ueshima, Masamitsu Konishi, Takashi Shimamoto, Minoru Iida, Katsuhiko Tsujioka, Saburo Kojima, Noriyuki Nakanishi and M Iida. Their work appears in journals such as Circulation, American Journal of Epidemiology and Preventive Medicine.

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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