Lisa Hirose

588 total citations
10 papers, 423 citations indexed

About

Lisa Hirose is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Lisa Hirose has authored 10 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Oncology. Recurrent topics in Lisa Hirose's work include Virus-based gene therapy research (3 papers), Protein Degradation and Inhibitors (2 papers) and Inflammatory Bowel Disease (2 papers). Lisa Hirose is often cited by papers focused on Virus-based gene therapy research (3 papers), Protein Degradation and Inhibitors (2 papers) and Inflammatory Bowel Disease (2 papers). Lisa Hirose collaborates with scholars based in Japan and United States. Lisa Hirose's co-authors include Jonathan M. Peake, Kazunori Nosaka, Katsuhiko Suzuki, Michael Newton, Shuichi Tsutsumi, Masahiro Nakamura, Hironori Waki, Miki Okada‐Iwabu, Takanori Fujita and Takashi Kadowaki and has published in prestigious journals such as Blood, Journal of Medicinal Chemistry and PLoS Genetics.

In The Last Decade

Lisa Hirose

10 papers receiving 411 citations

Peers

Countries citing papers authored by Lisa Hirose

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Hirose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Hirose

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	A Systematic Review of Self-Management Interventions for Patients with Inflammatory Bowel Disease 2023 ·Inflammatory Intestinal Diseases ·(unknown), Lisa Hirose, (unknown), (unknown), (unknown), Jovelle Fernandez	9
2	Performing colonoscopy before steroid induction is associated with shorter steroid use in patients with ulcerative colitis 2022 ·Intestinal Research ·Taku Kobayashi, (unknown), Lisa Hirose, Toshifumi Hibi∥	3
3	Increased glucose metabolism in Arid5b−/− skeletal muscle is associated with the down-regulation of TBC1 domain family member 1 (TBC1D1) 2020 ·Biological Research ·(unknown), Jennifer E. Murray, Ali A. Ehsani, Jessica Clark, Robert H. Whitson, Lisa Hirose, Noriyuki Yanaka, Keiichi Itakura	11
4	Extremely Low Organ Toxicity and Strong Antitumor Activity of miR-34-Regulated Oncolytic Coxsackievirus B3 2019 ·Molecular Therapy — Oncolytics ·Yang Jia, Shohei Miyamoto, Yasushi Soda, (unknown), (unknown), (unknown), Lisa Hirose, (unknown), Yoshie Miura, Kenichiro Hara, (unknown), Yasunori Ota, Kenzaburo Tani	23
5	Pathway-Based Drug Repositioning for Cancers: Computational Prediction and Experimental Validation 2018 ·Journal of Medicinal Chemistry ·M Iwata, Lisa Hirose, Hiroshi Kohara, (unknown), Ryusuke Sawada, (unknown), Kenzaburo Tani, Yoshihiro Yamanishi	22
6	Efficient Gene Transduction and Reprogramming of Hematopoietic Cells Including T-Cells By Using a Non-Integrating Measles Virus Vector 2018 ·Blood ·(unknown), Yasushi Soda, (unknown), Yoshie Miura, (unknown), Maino Tahara, (unknown), Lisa Hirose, (unknown), Shohei Miyamoto, Makoto Takeda, Kenzaburo Tani	1
7	Therapeutic vaccination based on side population cells transduced by the granulocyte–macrophage colony-stimulating factor gene elicits potent antitumor immunity 2017 ·Cancer Gene Therapy ·(unknown), Hiroshi Kohara, Hiroshi Inoue, (unknown), Yoko Ogawa, Lisa Hirose, Shinya Miyamoto, Yumiko Matsumura, Kazunari Yamada, Atsushi Takahashi, Kenzaburo Tani	17
8	Knockdown of AT-rich interaction domain (ARID) 5B gene expression induced AMPKα2 activation in cardiac myocytes 2015 ·BioScience Trends ·Lisa Hirose, F Okamoto, Takahiro Yamakawa, Robert H. Whitson, Yoko Fujita‐Yamaguchi, Keiichi Itakura	2
9	Global Mapping of Cell Type–Specific Open Chromatin by FAIRE-seq Reveals the Regulatory Role of the NFI Family in Adipocyte Differentiation 2011 ·PLoS Genetics ·Hironori Waki, Masahiro Nakamura, Toshimasa Yamauchi, (unknown), Jing Yu, Lisa Hirose, (unknown), Wei Sun, Masato Iwabu, Miki Okada‐Iwabu, Takanori Fujita, (unknown), Shuichi Tsutsumi, Kohjiro Ueki, Tatsuhiko Kodama, Juro Sakai, Hiroyuki Aburatani, Takashi Kadowaki	99
10	Changes in inflammatory mediators following eccentric exercise of the elbow flexors. 2004 ·PubMed ·Lisa Hirose, Kazunori Nosaka, Michael Newton, (unknown), (unknown), Jonathan M. Peake, Katsuhiko Suzuki	236

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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