Mariko Seishima

341 total papers · 5.7k total citations
174 papers, 3.1k citations indexed

About

Mariko Seishima is a scholar working on Dermatology, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Mariko Seishima has authored 174 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Dermatology, 49 papers in Pathology and Forensic Medicine and 43 papers in Rheumatology. Recurrent topics in Mariko Seishima's work include Autoimmune Bullous Skin Diseases (28 papers), Psoriasis: Treatment and Pathogenesis (22 papers) and Urticaria and Related Conditions (17 papers). Mariko Seishima is often cited by papers focused on Autoimmune Bullous Skin Diseases (28 papers), Psoriasis: Treatment and Pathogenesis (22 papers) and Urticaria and Related Conditions (17 papers). Mariko Seishima collaborates with scholars based in Japan, United States and Greece. Mariko Seishima's co-authors include Yasuo Kitajima, Yoko Mizutani, Hiroyuki Kanoh, Manabu Fujimoto, Kazuhiko Takehara, Minoru Hasegawa, Takashi Matsushita, Yasuhito Hamaguchi, Shinichi Sato and Masataka Kuwana and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mariko Seishima

158 papers receiving 3.0k citations

Author Peers

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

Author Last Decade Papers Cites
Mariko Seishima 1.0k 846 751 727 708 174 3.1k
Kazumitsu Sugiura 824 0.8× 955 1.1× 789 1.1× 667 0.9× 901 1.3× 150 3.0k
V. Descamps 592 0.6× 1.0k 1.2× 643 0.9× 668 0.9× 372 0.5× 165 3.0k
Norbert Sepp 440 0.4× 821 1.0× 1.2k 1.6× 605 0.8× 792 1.1× 115 3.5k
Fukumi Furukawa 450 0.4× 1.1k 1.3× 1.1k 1.5× 984 1.4× 419 0.6× 209 3.2k
Sadao Imamura 507 0.5× 429 0.5× 1.0k 1.3× 918 1.3× 1.1k 1.5× 201 3.9k
Andreas E. Kremer 886 0.9× 473 0.6× 506 0.7× 958 1.3× 871 1.2× 149 3.9k
Andrea Peserico 660 0.6× 515 0.6× 1.2k 1.6× 1.5k 2.0× 492 0.7× 138 3.5k
Tamotsu Kanzaki 734 0.7× 533 0.6× 541 0.7× 792 1.1× 1.2k 1.7× 230 4.0k
Seiji Kawana 500 0.5× 554 0.7× 418 0.6× 1.3k 1.8× 305 0.4× 202 3.2k
Mahmoud R. Hussein 455 0.4× 279 0.3× 671 0.9× 599 0.8× 1.2k 1.7× 146 4.1k

Countries citing papers authored by Mariko Seishima

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Seishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariko Seishima

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026