Masato Iida

63 papers receiving 729 citations

Peers

Masato Iida
Comparison fields: 5 of 111
  • Modeling and Simulation 93
  • Public Health, Environmental and Occupational Health 182
  • Numerical Analysis 31
  • Cardiology and Cardiovascular Medicine 116
  • Periodontics 22
Replace Fabien Crauste with:
Fabien Crauste France
Xiping Liu China
Aimin Zhao China
Javier Rodríguez Colombia
Jinshun Zhang China
Zhonghua Zhang China
Wei Cheng China
Yujuan Zhang China
Jeffrey R. Sachs United States
Masato Iida relative to Fabien Crauste France Fabien Crauste's profile →
Citations per field
00.5×11.6×
Fabien Crauste · 1×
Citations per year

Countries citing papers authored by Masato Iida

Since Specialization
Citations

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

Fields of papers citing papers by Masato Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20233
4 20234
5 20201
6 20179
7 20161
8 201621
9 201510
10 20146
11 201215
12 200946
13 20099
14 200816
15 200716
16 19913
17 19911
18 199012
19 19897
20 19851

About Masato Iida

Masato Iida is a scholar working on Periodontics, Modeling and Simulation, Gastroenterology, Cardiology and Cardiovascular Medicine and Applied Mathematics, having authored 68 papers that have together received 774 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Oral microbiology and periodontitis research (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Mathematical Modeling in Engineering (5 papers) and Multiple Myeloma Research and Treatments (4 papers). The work is most often cited by research in Modeling and Simulation (93 citations), Public Health, Environmental and Occupational Health (182 citations), Numerical Analysis (31 citations), Cardiology and Cardiovascular Medicine (116 citations) and Periodontics (22 citations). Masato Iida has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hirokazu Ninomiya, Masayasu Mimura, Danielle Hilhorst, I. Kodama, Eiji Yanagida, Takahiro Karasuno, Yoshio Kanayama, Atsushi Nishikawa, Naoyuki Taniguchi and Tetsuo Nishiura. Their work appears in journals such as Journal of Human Hypertension, Japan Journal of Industrial and Applied Mathematics, Scientific Reports, British Journal of Haematology and Journal of Diabetes and its Complications.

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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