Hiromichi Ebi

8.5k total citations · 1 hit paper
87 papers, 4.0k citations indexed

About

Hiromichi Ebi is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hiromichi Ebi has authored 87 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Oncology, 45 papers in Molecular Biology and 40 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hiromichi Ebi's work include Colorectal Cancer Treatments and Studies (29 papers), Lung Cancer Treatments and Mutations (27 papers) and Cancer Genomics and Diagnostics (16 papers). Hiromichi Ebi is often cited by papers focused on Colorectal Cancer Treatments and Studies (29 papers), Lung Cancer Treatments and Mutations (27 papers) and Cancer Genomics and Diagnostics (16 papers). Hiromichi Ebi collaborates with scholars based in Japan, United States and China. Hiromichi Ebi's co-authors include Jeffrey A. Engelman, Cyril H. Benes, Seiji Yano, Ryan B. Corcoran, Mari Mino–Kenudson, Patricia Della Pelle, Jeffrey Settleman, Anthony C. Faber, Eugene Lifshits and Kenneth E. Hung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Hiromichi Ebi

84 papers receiving 4.0k citations

Hit Papers

EGFR-Mediated Reactivation of MAPK Signaling Contributes ... 2012 2026 2016 2021 2012 250 500 750

Peers

Hiromichi Ebi
Ludmila Prudkin United States
Adrian M. Jubb United Kingdom
Samuel E. DePrimo United States
Susan M. Edgerton United States
Hatim Husain United States
Youngchul Song United States
Ludmila Prudkin United States
Hiromichi Ebi
Citations per year, relative to Hiromichi Ebi Hiromichi Ebi (= 1×) peers Ludmila Prudkin

Countries citing papers authored by Hiromichi Ebi

Since Specialization
Citations

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

Fields of papers citing papers by Hiromichi Ebi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromichi Ebi

This figure shows the co-authorship network connecting the top 25 collaborators of Hiromichi Ebi. A scholar is included among the top collaborators of Hiromichi Ebi 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 Hiromichi Ebi. Hiromichi Ebi 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.
Kotani, Daisuke, Hideaki Bando, Hiroya Taniguchi, et al.. (2024). Efficacy and safety of combination therapy with binimetinib, encorafenib, and cetuximab for BRAF non-V600E mutated metastatic colorectal cancer: Results from a phase 2 BIG BANG trial (EPOC1703).. Journal of Clinical Oncology. 42(16_suppl). 3585–3585. 1 indexed citations
3.
Tanaka, Noritaka & Hiromichi Ebi. (2024). Mechanisms of Resistance to KRAS Inhibitors: Cancer Cells' Strategic Use of Normal Cellular Mechanisms to Adapt. Cancer Science. 116(3). 600–612. 3 indexed citations
4.
Lai, Xianning, Hiu Yan Lam, Yuta Adachi, et al.. (2023). SHP2 inhibitors maintain TGFβ signalling through SMURF2 inhibition. npj Precision Oncology. 7(1). 136–136. 3 indexed citations
6.
Ando, Hitoshi, Kei Irie, Naoya Hashimoto, et al.. (2022). Effects of ABCB1 and ABCG2 polymorphisms on the pharmacokinetics of abemaciclib. European Journal of Clinical Pharmacology. 78(8). 1239–1247. 5 indexed citations
7.
Matsushita, Masaki, Takaaki Okamoto, Toyofumi F. Chen‐Yoshikawa, et al.. (2022). Meclozine Attenuates the MARK Pathway in Mammalian Chondrocytes and Ameliorates FGF2-Induced Bone Hyperossification in Larval Zebrafish. Frontiers in Cell and Developmental Biology. 9. 694018–694018. 6 indexed citations
8.
Taniguchi, Hiroya, Yoshiaki Nakamura, Daisuke Kotani, et al.. (2021). CIRCULATE‐Japan: Circulating tumor DNA–guided adaptive platform trials to refine adjuvant therapy for colorectal cancer. Cancer Science. 112(7). 2915–2920. 92 indexed citations
9.
Adachi, Yuta, Kentaro Ito, Yuko Hayashi, et al.. (2020). Epithelial-to-Mesenchymal Transition is a Cause of Both Intrinsic and Acquired Resistance to KRAS G12C Inhibitor in KRAS G12C–Mutant Non–Small Cell Lung Cancer. Clinical Cancer Research. 26(22). 5962–5973. 146 indexed citations
10.
Yaeger, Rona, Daisuke Kotani, Sebastián Mondaca, et al.. (2019). Response to Anti-EGFR Therapy in Patients with BRAF non-V600–Mutant Metastatic Colorectal Cancer. Clinical Cancer Research. 25(23). 7089–7097. 85 indexed citations
11.
Kitai, Hidenori, Hiromichi Ebi, Shuta Tomida, et al.. (2016). Epithelial-to-Mesenchymal Transition Defines Feedback Activation of Receptor Tyrosine Kinase Signaling Induced by MEK Inhibition in KRAS -Mutant Lung Cancer. Cancer Discovery. 6(7). 754–769. 108 indexed citations
12.
Ebi, Hiromichi, Isao Oze, Takayuki Nakagawa, et al.. (2014). Lack of Association between the BIM Deletion Polymorphism and the Risk of Lung Cancer with and without EGFR Mutations. Journal of Thoracic Oncology. 10(1). 59–66. 11 indexed citations
13.
Nakagawa, Takayuki, Shinji Takeuchi, Tadaaki Yamada, et al.. (2013). EGFR-TKI Resistance Due to BIM Polymorphism Can Be Circumvented in Combination with HDAC Inhibition. Cancer Research. 73(8). 2428–2434. 136 indexed citations
14.
Ebi, Hiromichi, Carlotta Costa, Anthony C. Faber, et al.. (2013). PI3K regulates MEK/ERK signaling in breast cancer via the Rac-GEF, P-Rex1. Proceedings of the National Academy of Sciences. 110(52). 21124–21129. 174 indexed citations
15.
Corcoran, Ryan B., Hiromichi Ebi, Alexa B. Turke, et al.. (2012). EGFR-Mediated Reactivation of MAPK Signaling Contributes to Insensitivity of BRAF -Mutant Colorectal Cancers to RAF Inhibition with Vemurafenib. Cancer Discovery. 2(3). 227–235. 767 indexed citations breakdown →
16.
Xu, Lu, Eiki Kikuchi, Chunxiao Xu, et al.. (2012). Combined EGFR/MET or EGFR/HSP90 Inhibition Is Effective in the Treatment of Lung Cancers Codriven by Mutant EGFR Containing T790M and MET. Cancer Research. 72(13). 3302–3311. 88 indexed citations
17.
Ebi, Hiromichi, Ryan B. Corcoran, Anurag Singh, et al.. (2011). Receptor tyrosine kinases exert dominant control over PI3K signaling in human KRAS mutant colorectal cancers. Journal of Clinical Investigation. 121(11). 4311–4321. 153 indexed citations
18.
Ebi, Hiromichi, Shuta Tomida, Toshiyuki Takeuchi, et al.. (2009). Relationship of Deregulated Signaling Converging onto mTOR with Prognosis and Classification of Lung Adenocarcinoma Shown by Two Independent In silico Analyses. Cancer Research. 69(9). 4027–4035. 31 indexed citations
19.
Minami, Hironobu, Kenji Kawada, Hiromichi Ebi, et al.. (2008). Phase I and pharmacokinetic study of sorafenib, an oral multikinase inhibitor, in Japanese patients with advanced refractory solid tumors. Cancer Science. 99(7). 1492–1498. 108 indexed citations
20.
Kawada, Kenji, et al.. (2005). Phase I and pharmacokinetic study of weekly docetaxel (DOC) plus irinotecan (IRN) in patients with advanced solid tumors. Cancer Research. 65. 938–938. 1 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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