Koichi Yanaba

10.2k total citations · 3 hit papers
125 papers, 8.1k citations indexed

About

Koichi Yanaba is a scholar working on Pathology and Forensic Medicine, Immunology and Dermatology. According to data from OpenAlex, Koichi Yanaba has authored 125 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Pathology and Forensic Medicine, 54 papers in Immunology and 41 papers in Dermatology. Recurrent topics in Koichi Yanaba's work include Systemic Sclerosis and Related Diseases (57 papers), Cell Adhesion Molecules Research (19 papers) and Inflammatory Myopathies and Dermatomyositis (18 papers). Koichi Yanaba is often cited by papers focused on Systemic Sclerosis and Related Diseases (57 papers), Cell Adhesion Molecules Research (19 papers) and Inflammatory Myopathies and Dermatomyositis (18 papers). Koichi Yanaba collaborates with scholars based in Japan, United States and France. Koichi Yanaba's co-authors include Thomas F. Tedder, Jean‐David Bouaziz, Takashi Matsushita, Manabu Fujimoto, Shinichi Sato, Jonathan C. Poe, Minoru Hasegawa, Karen M. Haas, Kazuhiko Takehara and Yoshihide Asano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

In The Last Decade

Koichi Yanaba

123 papers receiving 8.0k citations

Hit Papers

A Regulatory B Cell Subset with a Unique CD1dhiCD5+ Pheno... 2008 2026 2014 2020 2008 2010 2008 250 500 750 1000

Peers

Koichi Yanaba
Comparison fields: 5 of 112
  • Immunology 4.9k
  • Pathology and Forensic Medicine 2.1k
  • Rheumatology 1.2k
  • Epidemiology 1.2k
  • Oncology 1.0k
Replace Jean‐David Bouaziz with:
Jean‐David Bouaziz France
Armando Gabrielli Italy
Itsuo Iwamoto Japan
Ayumi Yoshizaki Japan
Jennifer M. McNiff United States
Lazaros I. Sakkas Greece
Laurence de Leval Switzerland
Yoshinari Takasaki Japan
Elias Toubi Israel
Gordon C. Sharp United States
Jean‐David Bouaziz France View profile →
Citations per field, relative to Koichi Yanaba
Koichi Yanaba · 1×
Citations per year, relative to Koichi Yanaba
Koichi Yanaba · 1×

Countries citing papers authored by Koichi Yanaba

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Yanaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Yanaba

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Yanaba. A scholar is included among the top collaborators of Koichi Yanaba 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 Koichi Yanaba. Koichi Yanaba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 21
3 20
4 12
5 142
6 45
7 11
8 61
9 264
10 21
11 57
12 13
13 258
14 35
15 124
16
Taxane-induced Scleroderma-like Skin Sclerosis
1
17 165
18 35
19 217
20 8

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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