Tetsuo Toyama

2.2k citations
85 papers · 1.7k · h-index 26

Impact in

Papers in

Tetsuo Toyama

78 papers receiving 1.7k citations

Peers

Tetsuo Toyama
Comparison fields: 5 of 88
  • Pathology and Forensic Medicine 1.0k
  • Dermatology 346
  • Immunology 449
  • Rheumatology 155
  • Pulmonary and Respiratory Medicine 228
Replace Yohei Ichimura with:
Yohei Ichimura Japan
Ryosuke Saigusa Japan
Benjamin D. Korman United States
M Błaszczyk Poland
Fabian A. Mendoza United States
Sashidhar Nakerakanti United States
James C. Steigerwald United States
Y. Soma Japan
Margarita Pileckytė Lithuania
Galina S. Bogatkevich United States
Tetsuo Toyama relative to Yohei Ichimura Japan Yohei Ichimura's profile →
Citations per field
00.5×1.5×
Yohei Ichimura · 1×
Citations per year

Countries citing papers authored by Tetsuo Toyama

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Toyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014112
2 201784
3 201478
4 201767
5 201457
6 201253
7 201551
8 201344
9 201842
10 201439
11 201437
12 201636
13 201235
14 201334
15 201433
16 201633
17 201532
18 201531
19 201329
20 201528

About Tetsuo Toyama

Tetsuo Toyama is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Immunology, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (53 papers), Inflammatory Myopathies and Dermatomyositis (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Eosinophilic Disorders and Syndromes (7 papers), Mast cells and histamine (6 papers), Dermatologic Treatments and Research (5 papers), Skin Diseases and Diabetes (5 papers) and Lymphatic System and Diseases (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Dermatology (346 citations), Immunology (449 citations), Rheumatology (155 citations) and Pulmonary and Respiratory Medicine (228 citations). Tetsuo Toyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshihide Asano, Shinichi Sato, Takashi Taniguchi, Takehiro Takahashi, Yohei Ichimura, Kaname Akamata, Shinji Noda, Ryosuke Saigusa, Makoto Sugaya and Takafumi Kadono. Their work appears in journals such as Modern Rheumatology, The Journal of Dermatology, British Journal of Dermatology, Journal of Dermatological Science and Arthritis & Rheumatology.

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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