Mikako Hirohama

719 total citations
18 papers, 470 citations indexed

About

Mikako Hirohama is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Mikako Hirohama has authored 18 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Immunology. Recurrent topics in Mikako Hirohama's work include Ubiquitin and proteasome pathways (10 papers), Peptidase Inhibition and Analysis (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Mikako Hirohama is often cited by papers focused on Ubiquitin and proteasome pathways (10 papers), Peptidase Inhibition and Analysis (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Mikako Hirohama collaborates with scholars based in Japan, United States and South Korea. Mikako Hirohama's co-authors include Atsushi Kawaguchi, Akihiro Ito, Minoru Yoshida, Kyosuke Nagata, Kam Y. J. Zhang, Ashutosh Kumar, SangJoon Lee, Masayuki Noguchi, Hisato Saitoh and Yoichi Nakao and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Analytical Biochemistry.

In The Last Decade

Mikako Hirohama

18 papers receiving 469 citations

Peers

Countries citing papers authored by Mikako Hirohama

Since Specialization

Citations

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

Fields of papers citing papers by Mikako Hirohama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikako Hirohama

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Structural insights into Influenza A virus RNA polymerase PB1 binding to nuclear import host factor RanBP5 2024 ·Biochemical and Biophysical Research Communications ·Tomomi Uchikubo‐Kamo, (unknown), (unknown), Mikako Hirohama, Mizuki Ono, (unknown), (unknown), Mio Ohki, Hisashi Yoshida, (unknown), Jeremy R. H. Tame, Atsushi Kawaguchi, Sam‐Yong Park	1
2	Intramolecular interaction of NEP regulated by CRM1 ensures the unidirectional transport of M1 for the nuclear export of influenza viral ribonucleoprotein 2023 ·SHILAP Revista de lepidopterología ·Mikako Hirohama, Shun Yamashita, (unknown), (unknown), Atsushi Kawaguchi	1
3	TMPRSS2 gene polymorphism common in East Asians confers decreased COVID-19 susceptibility 2022 ·Frontiers in Microbiology ·(unknown), (unknown), Hirayasu Kai, Atsushi Kawaguchi, (unknown), Mikako Hirohama, (unknown), (unknown), Akira Hara, Yuji Hiramatsu, Shigemi Hitomi, Yasushi Kawakami, Yoshihiro Arakawa, Kazushi Maruo, Shigeru Chiba, Hiromichi Suzuki, Hiroshi Kojima, Hirokazu Tachikawa, Kunihiro Yamagata	5
4	Potent mouse monoclonal antibodies that block SARS-CoV-2 infection 2021 ·Journal of Biological Chemistry ·(unknown), Atsushi Kawaguchi, Masaru Takeshita, (unknown), Mikako Hirohama, Akio Yamashita, Haruhiko Siomi, Kensaku Murano	12
5	Influenza restriction factor MxA functions as inflammasome sensor in the respiratory epithelium 2019 ·Science Immunology ·SangJoon Lee, (unknown), Masayuki Noguchi, Mikako Hirohama, (unknown), Philipp P. Petric, Martin Schwemmle, Peter Staeheli, Kyosuke Nagata, Atsushi Kawaguchi	46
6	Inhibition of Influenza Virus Infection by Lentinus edodes Mycelia Extract Through Its Direct Action and Immunopotentiating Activity 2018 ·Frontiers in Microbiology ·(unknown), SangJoon Lee, Mikako Hirohama, (unknown), (unknown), Takahiro Haruyama, Kyosuke Nagata, Atsushi Kawaguchi	17
7	Influenza A Virus Infection Triggers Pyroptosis and Apoptosis of Respiratory Epithelial Cells through the Type I Interferon Signaling Pathway in a Mutually Exclusive Manner 2018 ·Journal of Virology ·SangJoon Lee, Mikako Hirohama, Masayuki Noguchi, Kyosuke Nagata, Atsushi Kawaguchi	99
8	Inhibition of protein SUMOylation by natural quinones 2016 ·The Journal of Antibiotics ·Isao Fukuda, Mikako Hirohama, Akihiro Ito, (unknown), Yasuhiro Igarashi, Hisato Saitoh, Minoru Yoshida	3
9	Identification of new SUMO activating enzyme 1 inhibitors using virtual screening and scaffold hopping 2016 ·Bioorganic & Medicinal Chemistry Letters ·Ashutosh Kumar, Akihiro Ito, Mikako Hirohama, Minoru Yoshida, Kam Y. J. Zhang	34
10	Influenza Virus Induces Cholesterol-Enriched Endocytic Recycling Compartments for Budozone Formation via Cell Cycle-Independent Centrosome Maturation 2015 ·PLoS Pathogens ·Atsushi Kawaguchi, Mikako Hirohama, Yoshimi Harada, Suguru Osari, Kyosuke Nagata	34
11	Inhibition of protein SUMOylation by davidiin, an ellagitannin from Davidia involucrata 2014 ·The Journal of Antibiotics ·(unknown), Yumi Kawamura, Mikako Hirohama, Yuki Yamaguchi, Hiroshi Handa, Hisato Saitoh, Yoichi Nakao, Manabu Kawada, (unknown), Hiroyuki Koshino, Ken-ichi Kimura, Akihiro Ito, Minoru Yoshida	43
12	Identification of Sumoylation Inhibitors Targeting a Predicted Pocket in Ubc9 2014 ·Journal of Chemical Information and Modeling ·Ashutosh Kumar, Akihiro Ito, Mikako Hirohama, Minoru Yoshida, Kam Y. J. Zhang	12
13	Identification of SUMO activating enzyme 1 inhibitors utilizing virtual screening approach 2014 ·Journal of Cheminformatics ·Ashutosh Kumar, Akihiro Ito, Mikako Hirohama, Minoru Yoshida, Kam Y. J. Zhang	1
14	Discovery of small molecule inhibitors targeting the SUMO–SIM interaction using a protein interface consensus approach 2014 ·MedChemComm ·Arnout Voet, Akihiro Ito, Mikako Hirohama, Seiji Matsuoka, N. Tochio, T. Kigawa, Minoru Yoshida, Kam Y. J. Zhang	8
15	Identification of quinazolinyloxy biaryl urea as a new class of SUMO activating enzyme 1 inhibitors 2013 ·Bioorganic & Medicinal Chemistry Letters ·Ashutosh Kumar, Akihiro Ito, Mikako Hirohama, Minoru Yoshida, Kam Y. J. Zhang	20
16	Assay methods for small ubiquitin-like modifier (SUMO)–SUMO-interacting motif (SIM) interactions in vivo and in vitro using a split-luciferase complementation system 2013 ·Analytical Biochemistry ·Mikako Hirohama, Arnout Voet, Takeaki Ozawa, Hisato Saitoh, Yoichi Nakao, Kam Y. J. Zhang, Akihiro Ito, Minoru Yoshida	7
17	Identification of Sumoylation Activating Enzyme 1 Inhibitors by Structure-Based Virtual Screening 2013 ·Journal of Chemical Information and Modeling ·Ashutosh Kumar, Akihiro Ito, Mikako Hirohama, Minoru Yoshida, Kam Y. J. Zhang	43
18	Spectomycin B1 as a Novel SUMOylation Inhibitor That Directly Binds to SUMO E2 2013 ·ACS Chemical Biology ·Mikako Hirohama, Ashutosh Kumar, Isao Fukuda, Seiji Matsuoka, Yasuhiro Igarashi, Hisato Saitoh, Motoki Takagi, Kazuo Shin‐ya, Kaori Honda, Yasumitsu Kondoh, Tamio Saito, Yoichi Nakao, Hiroyuki Osada, Kam Y. J. Zhang, Minoru Yoshida, Akihiro Ito	84

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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