Toshimori Inaba

2.5k citations
29 papers · 2.1k indexed · 1 hit paper · h-index 16

Toshimori Inaba

29 papers receiving 2.0k citations

Hit Papers

Adiponectin Reduces Atherosclerosis in Apolipoprotein E-D...8712002202620102018250500750

Peers

Toshimori Inaba
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 728
  • Epidemiology 871
  • Endocrinology, Diabetes and Metabolism 410
  • Cancer Research 338
  • Endocrine and Autonomic Systems 124
Replace Naoki Terasaka with:
Naoki Terasaka Japan
Peter Båvenholm Sweden
Xavier Prieur France
Tuva B. Dahl Norway
Tova Chajek‐Shaul Israel
Eric S. Muise United States
Fumihiko Matsuura Japan
Barbara Gross France
Rozenn Quarck Belgium
Kaoru Kameda-Takemura Japan
Toshimori Inaba relative to Naoki Terasaka Japan Naoki Terasaka's profile →
Citations per field
00.5×1.5×
Naoki Terasaka · 1×
Citations per year

Countries citing papers authored by Toshimori Inaba

Since Specialization
Citations

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

Fields of papers citing papers by Toshimori Inaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200646
2 200634
3 200615
4 200616
5 200610
6 200517
7 200559
8 20041
9 200414
10 2002265
11 2002306
12 199710
13 199629
14 19965
15 199621
16 19941
17 199414
18 199419
19 199253
20
Tissue Kallikrein in Human Plasma
19881

About Toshimori Inaba

Toshimori Inaba is a scholar working on Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Surgery, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (12 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Lipoproteins and Cardiovascular Health (6 papers), Cell Adhesion Molecules Research (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipid metabolism and disorders (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (728 citations), Epidemiology (871 citations) and Endocrinology, Diabetes and Metabolism (410 citations). Toshimori Inaba has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Naoki Terasaka, Iichiro Shimomura, Yūji Matsuzawa, Tohru Funahashi, Noriyuki Ouchi, Makoto Nishida, Hideki Kobayashi, Yoshihisa Okamoto, Masahiro Kumada and Naohiko Sakai.

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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