Yasuo Kitajima

16.4k total citations
271 papers, 6.9k citations indexed

About

Yasuo Kitajima is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cell Biology. According to data from OpenAlex, Yasuo Kitajima has authored 271 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 86 papers in Pathology and Forensic Medicine and 62 papers in Cell Biology. Recurrent topics in Yasuo Kitajima's work include Autoimmune Bullous Skin Diseases (69 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (50 papers) and Skin and Cellular Biology Research (44 papers). Yasuo Kitajima is often cited by papers focused on Autoimmune Bullous Skin Diseases (69 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (50 papers) and Skin and Cellular Biology Research (44 papers). Yasuo Kitajima collaborates with scholars based in Japan, United States and Germany. Yasuo Kitajima's co-authors include Yumi Aoyama, Hideo Yaoita, Yoshinori Nozawa, Guy A. Thompson, M Seishima, Kazuko Osada, Mariko Seishima, Yoshiharu Minamitake, Y Nozawa and Shunji Mori and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Yasuo Kitajima

259 papers receiving 6.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yasuo Kitajima Japan 46 2.5k 2.2k 1.7k 1.3k 1.2k 271 6.9k
O. Wesley McBride United States 57 7.3k 2.9× 844 0.4× 554 0.3× 732 0.6× 999 0.9× 131 12.2k
Michael Kashgarian United States 63 5.1k 2.0× 700 0.3× 620 0.4× 2.0k 1.5× 804 0.7× 265 13.5k
Gunnar Pejler Sweden 53 2.9k 1.2× 327 0.1× 1.1k 0.7× 940 0.7× 2.0k 1.7× 220 9.6k
Marko Salmi Finland 66 4.7k 1.9× 451 0.2× 686 0.4× 494 0.4× 1.3k 1.2× 202 10.7k
Nobutaka Shimizu Japan 41 3.0k 1.2× 1.2k 0.5× 637 0.4× 649 0.5× 515 0.4× 224 8.0k
Alex Markham United Kingdom 28 3.8k 1.5× 623 0.3× 431 0.3× 276 0.2× 811 0.7× 58 7.5k
Werner Müller‐Esterl Germany 55 3.6k 1.4× 481 0.2× 3.9k 2.3× 843 0.6× 616 0.5× 185 10.6k
George H. Caughey United States 59 2.7k 1.1× 222 0.1× 1.9k 1.1× 937 0.7× 506 0.4× 134 10.1k
Rachel R Caspi United States 69 3.8k 1.5× 626 0.3× 286 0.2× 3.2k 2.4× 262 0.2× 272 15.8k
Masahide Asano Japan 56 4.8k 1.9× 446 0.2× 206 0.1× 590 0.5× 896 0.8× 169 11.0k

Countries citing papers authored by Yasuo Kitajima

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Kitajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Kitajima

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Kitajima. A scholar is included among the top collaborators of Yasuo Kitajima 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 Yasuo Kitajima. Yasuo Kitajima 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
1.
Sakai, Kazuya, et al.. (2023). The neuronal nitric oxide synthase expression increases during satellite cell-derived primary myoblasts differentiation. Cellular and Molecular Biology. 69(13). 128–133.
2.
Kitajima, Yasuo, et al.. (2022). Little involvement of recycled-amino acids from proteasomal proteolysis in de novo protein synthesis. Biochemical and Biophysical Research Communications. 634. 40–47. 7 indexed citations
3.
Yoshioka, Kiyoshi, Hiroshi Nagahisa, Fumihito Miura, et al.. (2021). Hoxa10 mediates positional memory to govern stem cell function in adult skeletal muscle. Science Advances. 7(24). 28 indexed citations
4.
Harada, Akihito, Kazumitsu Maehara, Yusuke Ono, et al.. (2018). Histone H3.3 sub-variant H3mm7 is required for normal skeletal muscle regeneration. Nature Communications. 9(1). 1400–1400. 24 indexed citations
5.
Kitajima, Yasuo. (2014). 150thAnniversary Series: Desmosomes and Autoimmune Disease, Perspective of Dynamic Desmosome Remodeling and Its Impairments in Pemphigus. Cell Communication & Adhesion. 21(6). 269–280. 40 indexed citations
6.
Kitajima, Yasuo. (2012). New insights into desmosome regulation and pemphigus blistering as a desmosome‐remodeling disease. The Kaohsiung Journal of Medical Sciences. 29(1). 1–13. 43 indexed citations
7.
8.
Kitajima, Yasuo. (2007). Skin barrier function and its regulation in terms of epidermal molecular structure. Drug Delivery System. 22(4). 424–432. 2 indexed citations
9.
Kunisada, Takahiro, et al.. (2006). Mice Transgenic for KitV620A: Recapitulation of Piebaldism but not Progressive Depigmentation Seen in Humans with this Mutation. Journal of Investigative Dermatology. 126(5). 1111–1118. 12 indexed citations
10.
Kitajima, Yasuo, et al.. (2002). Intramuscular lipoma within the temporal muscle. International Journal of Dermatology. 41(10). 689–690. 14 indexed citations
11.
Kamiya, Hideki, et al.. (2001). “Apocrine” poroma: review of the literature and case report. Journal of Cutaneous Pathology. 28(2). 101–104. 26 indexed citations
12.
Kitajima, Yasuo, et al.. (2001). Evidence that pemphigus vulgaris IgG causes no steric hindrance in desmosome formation, but forms desmoglein 3-deficient desmosomes. Journal of Investigative Dermatology. 117(2). 406. 3 indexed citations
13.
Maeda, Manabu & Yasuo Kitajima. (2000). Are Giant Cells Conidia in Sporothrix schenckii? Freeze-fracture Electron Microscopic Observation.:Freeze-fracture Electron Microscopic Observation. 41(2). 109–114. 1 indexed citations
14.
Hirako, Yoshiaki, Jiro Usukura, Jun Uematsu, et al.. (1998). Cleavage of BP180, a 180-kDa Bullous Pemphigoid Antigen, Yields a 120-kDa Collagenous Extracellular Polypeptide. Journal of Biological Chemistry. 273(16). 9711–9717. 101 indexed citations
15.
Seishima, M, et al.. (1997). Pemphigus IgG Induces Expression of Urokinase Plasminogen Activator Receptor on the Cell Surface of Cultured Keratinocytes. Journal of Investigative Dermatology. 109(5). 650–655. 42 indexed citations
16.
Kitajima, Yasuo. (1996). Adhesion molecules in the pathophysiology of bullous diseases. European Journal of Dermatology. 6(6). 399–405. 15 indexed citations
17.
Kitajima, Yasuo, et al.. (1994). Scabies in Nursing Homes. 9(3). 38–43. 2 indexed citations
18.
Kitajima, Yasuo & Shunji Mori. (1980). FREEZE‐FRACTURE STUDY OF THE OCCURRENCE OF PLASMA MEMBRANE DIFFERENTIATIONS IN HUMAN BASAL CELL CARCINOMA. The Journal of Dermatology. 7(6). 389–396. 7 indexed citations
19.
Kitajima, Yasuo, Takashi Sekiya, Yoshinori Nozawa, & Yuki Ito. (1976). Ultrastructure of the Trichophyton mentagrophytes Septum:Visualization of the Lamellar Structure. Nippon Ishinkin Gakkai Zasshi. 17(1). 31–36. 4 indexed citations
20.
Kitajima, Yasuo, Takashi Sekiya, Yoshinori Nozawa, & Yuki Ito. (1976). Ultrastructural and Chemical Investigations on the Cell Wall Architecture of Epidermophyton Floccosum :A Proposal of a Cell Wall Model. 17(2). 92–101. 3 indexed citations

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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