M Iida

2.0k citations
38 papers · 1.5k indexed · h-index 20

Impact in

Papers in

M Iida

37 papers receiving 1.4k citations

Peers

M Iida
Comparison fields: 5 of 114
  • Cardiology and Cardiovascular Medicine 459
  • Endocrinology, Diabetes and Metabolism 324
  • Epidemiology 393
  • Pulmonary and Respiratory Medicine 326
  • Pathology and Forensic Medicine 164
Replace Kiminori Yamane with:
Kiminori Yamane Japan
Pauli Karhapää Finland
Klaus Berger Germany
Takayasu Ohtake Japan
Pantelis Zebekakis Greece
Nabila Abdella Kuwait
Stephen Kaptoge United Kingdom
Ryuichi Kawamoto Japan
Ingrid Toft Norway
L. H. Kuller United States
M Iida relative to Kiminori Yamane Japan Kiminori Yamane's profile →
Citations per field
00.5×1.5×1.9×
Kiminori Yamane · 1×
Citations per year

Countries citing papers authored by M Iida

Since Specialization
Citations

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

Fields of papers citing papers by M Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989308
2 1994173
3 1993173
4 199078
5 200474
6 199366
7 198262
8 200055
9 199753
10 199647
11 199942
12 198440
13
[A population-based study of the proportion by type of stroke determined by computed tomography scan].
199138
14 200438
15 199436
16 198635
17 198834
18 199229
19
[The evaluation and the results of cooperative cholesterol and triglyceride standardization program by WHO-CDC (author's transl)].
198227
20 200124

About M Iida

M Iida is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Surgery, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Genetic factors in colorectal cancer (4 papers), Nutritional Studies and Diet (4 papers), Stroke Rehabilitation and Recovery (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Soft tissue tumor case studies (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (459 citations), Endocrinology, Diabetes and Metabolism (324 citations), Epidemiology (393 citations), Pulmonary and Respiratory Medicine (326 citations) and Pathology and Forensic Medicine (164 citations). M Iida has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroyasu Iso, Yoshio Komachi, Takashi Shimamoto, Shinichi Sato, Masamitsu Konishi, Akihiko Kitamura, Tomoko Sankai, Mitsunori Doi, Noriyuki Nakanishi and Hiroshi Inada. Their work appears in journals such as Circulation, Endoscopy, Stroke, Gastrointestinal Endoscopy and Radiology.

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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