Machi Suka

136 papers receiving 1.8k citations

Peers

Machi Suka
Comparison fields: 5 of 143
  • General Health Professions 332
  • Experimental and Cognitive Psychology 172
  • Critical Care and Intensive Care Medicine 47
  • Health 54
  • Endocrinology, Diabetes and Metabolism 106
Replace Luís Villarroel with:
Luís Villarroel Chile
Ian MacGillivray United Kingdom
Marie‐Pierre Sylvestre Canada
John F. Sweeney United States
Ünal Erkorkmaz Türkiye
Sang Hui Chu South Korea
Mario Miccoli Italy
Marina M. Reeves Australia
Alessandra Lugo Italy
F Gutzwiller Switzerland
Machi Suka relative to Luís Villarroel Chile Luís Villarroel's profile →
Citations per field
00.5×3.2×
Luís Villarroel · 1×
Citations per year

Countries citing papers authored by Machi Suka

Since Specialization
Citations

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

Fields of papers citing papers by Machi Suka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003182
2 2013171
3 2015157
4 201561
5 201560
6 201155
7 201251
8 201740
9 201838
10 201637
11 202134
12 201533
13 201933
14 200732
15 201432
16 201431
17 200829
18 201628
19 202127
20 201726

About Machi Suka

Machi Suka is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, General Health Professions, Nutrition and Dietetics and Critical Care and Intensive Care Medicine, having authored 145 papers that have together received 1.9k indexed citations. Recurring topics across this work include Trace Elements in Health (10 papers), Nosocomial Infections in ICU (10 papers), Vasculitis and related conditions (7 papers), Heavy Metal Exposure and Toxicity (6 papers), Obesity, Physical Activity, Diet (6 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Health Literacy and Information Accessibility (5 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in General Health Professions (332 citations), Experimental and Cognitive Psychology (172 citations), Critical Care and Intensive Care Medicine (47 citations), Health (54 citations) and Endocrinology, Diabetes and Metabolism (106 citations). Machi Suka has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Hiroki Sugimori, Hiroyuki Yanagisawa, Katsumi Yoshida, Takashi Yamauchi, Toshiko Takao, Takeshi Odajima, Masahiko Sumitani, Takeo Nakayama, Ataru Igarashi and Makiko Kusama. Their work appears in journals such as Environmental Health and Preventive Medicine, Modern Rheumatology, PLoS ONE, Journal of Diabetes Investigation and Journal of Occupational and Environmental 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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