Katsuyuki Mitomo

1.2k total citations
20 papers, 984 citations indexed

About

Katsuyuki Mitomo is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Katsuyuki Mitomo has authored 20 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Katsuyuki Mitomo's work include Cytokine Signaling Pathways and Interactions (6 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (4 papers). Katsuyuki Mitomo is often cited by papers focused on Cytokine Signaling Pathways and Interactions (6 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (4 papers). Katsuyuki Mitomo collaborates with scholars based in Japan, United States and United Kingdom. Katsuyuki Mitomo's co-authors include Hiroko Shimizu, Tomoo Watanabe, Shu‐ichi Okamoto, Ken Yamamoto, Hidetaka Yakura, Kazuya Mizuno, Mami Ogimoto, Tatsuo Katagiri, Yutaka Arimura and Ken-ichi Yamamoto and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Katsuyuki Mitomo

20 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katsuyuki Mitomo Japan 13 484 434 216 199 132 20 984
Kai‐Li He China 9 629 1.3× 448 1.0× 258 1.2× 179 0.9× 62 0.5× 11 1.1k
Elio Liboi Italy 15 262 0.5× 379 0.9× 126 0.6× 172 0.9× 100 0.8× 31 764
Enric Espel Spain 16 362 0.7× 507 1.2× 156 0.7× 182 0.9× 109 0.8× 32 984
David W. LaFleur United States 17 531 1.1× 402 0.9× 135 0.6× 355 1.8× 102 0.8× 22 1.2k
Antony Symons United States 11 613 1.3× 323 0.7× 159 0.7× 154 0.8× 108 0.8× 16 891
M. Stuart Naylor United Kingdom 11 421 0.9× 459 1.1× 266 1.2× 421 2.1× 107 0.8× 11 1.1k
K. Kaltoft Denmark 16 467 1.0× 319 0.7× 138 0.6× 286 1.4× 62 0.5× 35 998
Venugopalan Cheriyath United States 20 364 0.8× 868 2.0× 165 0.8× 211 1.1× 110 0.8× 29 1.3k
Jacqueline M. Glynn United States 8 326 0.7× 742 1.7× 108 0.5× 310 1.6× 149 1.1× 8 1.1k
D. Butler United Kingdom 12 400 0.8× 228 0.5× 106 0.5× 281 1.4× 73 0.6× 19 1.0k

Countries citing papers authored by Katsuyuki Mitomo

Since Specialization
Citations

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

Fields of papers citing papers by Katsuyuki Mitomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuyuki Mitomo

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuyuki Mitomo. A scholar is included among the top collaborators of Katsuyuki Mitomo 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 Katsuyuki Mitomo. Katsuyuki Mitomo 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.
Takai, Yoshiki, Ping Huang, Osamu Kusano‐Arai, et al.. (2015). High avidity chimeric monoclonal antibodies against the extracellular domains of human aquaporin‐4 competing with the neuromyelitis optica autoantibody, NMO‐IgG. British Journal of Pharmacology. 173(1). 103–114. 10 indexed citations
2.
Mitomo, Katsuyuki, Uta Griesenbach, Makoto Inoue, et al.. (2010). Toward Gene Therapy for Cystic Fibrosis Using a Lentivirus Pseudotyped With Sendai Virus Envelopes. Molecular Therapy. 18(6). 1173–1182. 97 indexed citations
3.
Ohmori, Tsukasa, Akira Ishiwata, Yuji Kashiwakura, et al.. (2008). Phenotypic Correction of Hemophilia A by Ectopic Expression of Activated Factor VII in Platelets. Molecular Therapy. 16(8). 1359–1365. 21 indexed citations
4.
Griesenbach, Uta, Katsuyuki Mitomo, Makoto Inoue, et al.. (2006). 367. Lentivirus Pseudotyped with Envelope Proteins F and HN from Sendai Virus Transduce Airway Epithelium Efficiency and Persistently. Molecular Therapy. 13. S139–S140. 1 indexed citations
5.
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7.
Ogimoto, Mami, Yutaka Arimura, Tatsuo Katagiri, et al.. (2001). Opposing regulation of B cell receptor‐induced activation of mitogen‐activated protein kinases by CD45. FEBS Letters. 490(1-2). 97–101. 10 indexed citations
8.
Arimura, Yutaka, Mami Ogimoto, Katsuyuki Mitomo, et al.. (2001). CD45 Is Required for CD40-induced Inhibition of DNA Synthesis and Regulation of c-Jun NH2-terminal Kinase and p38 in BAL-17 B Cells. Journal of Biological Chemistry. 276(11). 8550–8556. 11 indexed citations
9.
10.
Katagiri, Tatsuo, Mami Ogimoto, Kiminori Hasegawa, et al.. (1999). CD45 Negatively Regulates Lyn Activity by Dephosphorylating Both Positive and Negative Regulatory Tyrosine Residues in Immature B Cells. The Journal of Immunology. 163(3). 1321–1326. 54 indexed citations
11.
Hasegawa, Kiminori, Hiroaki Yajima, Tatsuo Katagiri, et al.. (1999). Requirement of PEST domain tyrosine phosphatase PEP in B cell antigen receptor-induced growth arrest and apoptosis. European Journal of Immunology. 29(3). 887–896. 16 indexed citations
12.
Moorefield, Beth, et al.. (1996). A Novel 66-Kilodalton Protein Complexes with Rrn6, Rrn7, and TATA-Binding Protein To Promote Polymerase I Transcription Initiation in Saccharomyces cerevisiae. Molecular and Cellular Biology. 16(11). 6436–6443. 67 indexed citations
13.
Nakayama, Kohzo, Hiroko Shimizu, Katsuyuki Mitomo, et al.. (1992). A Lymphoid Cell-Specific Nuclear Factor Containing c-Rel-Like Proteins Preferentially Interacts with Interleukin-6 κΒ-Related Motifs Whose Activities Are Repressed in Lymphoid Cells. Molecular and Cellular Biology. 12(4). 1736–1746. 3 indexed citations
14.
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Shimizu, Hiroko, Katsuyuki Mitomo, Tomoo Watanabe, Shu‐ichi Okamoto, & Ken-ichi Yamamoto. (1990). Involvement of a NF-κB-Like Transcription Factor in the Activation of the Interleukin-6 Gene by Inflammatory Lymphokines. Molecular and Cellular Biology. 10(2). 561–568. 72 indexed citations
16.
Shimizu, Hiroko, Katsuyuki Mitomo, Tomoo Watanabe, Shu‐ichi Okamoto, & Ken Yamamoto. (1990). Involvement of a NF-kappa B-like transcription factor in the activation of the interleukin-6 gene by inflammatory lymphokines.. Molecular and Cellular Biology. 10(2). 561–568. 343 indexed citations
17.
Goto, Naohiko, Jun Kosaka, Katsuyuki Mitomo, et al.. (1988). Diverse Gene Structure for Serum Amyloid a Protein in Wild Mice. 293–297. 1 indexed citations
18.
Mitomo, Katsuyuki, Teizo Fujita, & Kei Iida. (1987). Functional and antigenic properties of complement receptor type 2, CR2.. The Journal of Experimental Medicine. 165(5). 1424–1429. 31 indexed citations
19.
Iida, K, Katsuyuki Mitomo, Takuya Fujita, & N Tamura. (1987). Characterization of three monoclonal antibodies against C3 with selective specificities.. PubMed. 62(3). 413–7. 42 indexed citations
20.
Iida, Kyoko, et al.. (1987). A solid-phase anti-C3 assay for detection of immune complexes in six distinguished forms. Journal of Immunological Methods. 98(1). 23–28. 9 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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