Kiichiro Danno

136 total papers · 2.3k total citations
100 papers, 1.7k citations indexed

About

Kiichiro Danno is a scholar working on Dermatology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Kiichiro Danno has authored 100 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Dermatology, 23 papers in Molecular Biology and 22 papers in Pathology and Forensic Medicine. Recurrent topics in Kiichiro Danno's work include Autoimmune Bullous Skin Diseases (20 papers), Skin Protection and Aging (14 papers) and Skin and Cellular Biology Research (14 papers). Kiichiro Danno is often cited by papers focused on Autoimmune Bullous Skin Diseases (20 papers), Skin Protection and Aging (14 papers) and Skin and Cellular Biology Research (14 papers). Kiichiro Danno collaborates with scholars based in Japan, United States and South Korea. Kiichiro Danno's co-authors include Takeshi Horio, Sadao Imamura, Ken‐ichi Toda, Masahiro Takigawa, Masami Uehara, Kouichi Ikai, S. Imamura, Atsushi Utani, Yoshiki Miyachi and Hisashi Sugiura and has published in prestigious journals such as The Journal of Immunology, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

In The Last Decade

Kiichiro Danno

99 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kiichiro Danno 741 350 292 272 263 100 1.7k
H. Stege 1.2k 1.7× 382 1.1× 265 0.9× 193 0.7× 222 0.8× 59 1.9k
Jinhua Xu 512 0.7× 399 1.1× 488 1.7× 198 0.7× 297 1.1× 102 2.0k
M.H.A. RUSTIN 868 1.2× 278 0.8× 126 0.4× 326 1.2× 218 0.8× 74 1.6k
Erna Snellman 756 1.0× 436 1.2× 390 1.3× 271 1.0× 236 0.9× 73 1.6k
J Meynadier 873 1.2× 588 1.7× 161 0.6× 303 1.1× 208 0.8× 108 1.6k
Hiroaki Ueki 418 0.6× 471 1.3× 369 1.3× 370 1.4× 414 1.6× 123 1.8k
R. H. Cormane 503 0.7× 575 1.6× 170 0.6× 530 1.9× 178 0.7× 94 1.7k
U Kiistala 713 1.0× 209 0.6× 290 1.0× 252 0.9× 149 0.6× 58 2.0k
Éva Remenyik 699 0.9× 403 1.2× 463 1.6× 146 0.5× 219 0.8× 92 1.8k
A Oikarinen 780 1.1× 185 0.5× 416 1.4× 146 0.5× 138 0.5× 97 2.2k

Countries citing papers authored by Kiichiro Danno

Since Specialization
Citations

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

Fields of papers citing papers by Kiichiro Danno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiichiro Danno

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

All Works

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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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2026