Tetsuya Nagaoka

1.4k citations
18 papers · 1.1k indexed · h-index 13
Topics
Systemic Sclerosis and Related Diseases (7 papers)Urticaria and Related Conditions (5 papers)Cell Adhesion Molecules Research (5 papers)

In The Last Decade

Tetsuya Nagaoka

18 papers receiving 1.1k citations

Peers

Tetsuya Nagaoka
Comparison fields: 5 of 85
  • Pathology and Forensic Medicine 527
  • Immunology 312
  • Molecular Biology 271
  • Dermatology 265
  • Pulmonary and Respiratory Medicine 182
Replace Yuko Kaburagi with:
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Tetsuya Nagaoka relative to Yuko Kaburagi Japan Yuko Kaburagi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tetsuya Nagaoka

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Nagaoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Nagaoka

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Nagaoka. A scholar is included among the top collaborators of Tetsuya Nagaoka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tetsuya Nagaoka. Tetsuya Nagaoka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 40
2 4
3 56
4 15
5 187
6 51
7 169
8 39
9 113
10 147
11
Serum levels of soluble interleukin 6 receptor and soluble gp130 are elevated in patients with localized scleroderma.
23
12
Serum levels of connective tissue growth factor are elevated in patients with systemic sclerosis: association with extent of skin sclerosis and severity of pulmonary fibrosis.
199
13
Levels of interleukin 12, a cytokine of type 1 helper T cells, are elevated in sera from patients with systemic sclerosis.
40
14
Autoantibodies against calpastatin in sera from patients with systemic sclerosis.
7
15 9
16 4
17 33
18 2

About Tetsuya Nagaoka

Tetsuya Nagaoka is a scholar working on Immunology and Allergy, Pathology and Forensic Medicine and Dermatology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (7 papers), Urticaria and Related Conditions (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Dermatology (265 citations), Pathology and Forensic Medicine (527 citations) and Immunology and Allergy (128 citations). Tetsuya Nagaoka has collaborated with scholars based in Japan, United States and Myanmar. Frequent co-authors include Kazuhiko Takehara, Minoru Hasegawa, Shinichi Sato, Yuko Kaburagi, Yasuhito Hamaguchi, Thomas F. Tedder, Manabu Fujimoto, Kazuhiro Komura, Eriko Saito and Masaharu Takigawa. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and Applied and Environmental Microbiology.

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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