Yumi Terakado

714 total citations
9 papers, 255 citations indexed

About

Yumi Terakado is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Yumi Terakado has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Yumi Terakado's work include Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cancer-related gene regulation (2 papers). Yumi Terakado is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cancer-related gene regulation (2 papers). Yumi Terakado collaborates with scholars based in Japan and Singapore. Yumi Terakado's co-authors include Tsuneo Ikenoue, Yoichi Furukawa, Nick Barker, Kazuhiro Murakami, Kiyoshi Yamaguchi, Rei Noguchi, Masanobu Oshima, Yasunori Ohta, Haruna Takeda and Naohide Yamashita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Cell Biology and Cancer Research.

In The Last Decade

Yumi Terakado

9 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yumi Terakado Japan	8	137	102	85	57	38	9	255
Byung‐Noe Bae South Korea	11	81 0.6×	117 1.1×	199 2.3×	69 1.2×	26 0.7×	25	304
Venu Bathini United States	8	57 0.4×	36 0.4×	102 1.2×	30 0.5×	28 0.7×	23	171
Henry Walch United States	9	73 0.5×	79 0.8×	155 1.8×	59 1.0×	65 1.7×	44	280
Zhongxue Su China	10	66 0.5×	183 1.8×	124 1.5×	132 2.3×	16 0.4×	11	321
Shujie Pang China	8	56 0.4×	89 0.9×	52 0.6×	60 1.1×	25 0.7×	22	282
Shannon van Vliet Netherlands	9	53 0.4×	68 0.7×	116 1.4×	65 1.1×	91 2.4×	17	225
Thiru Prasanna Australia	10	88 0.6×	99 1.0×	198 2.3×	37 0.6×	36 0.9×	17	322
Thais Maloberti Italy	6	32 0.2×	54 0.5×	62 0.7×	38 0.7×	29 0.8×	40	164
C.‐J. Hsieh Germany	6	89 0.6×	212 2.1×	164 1.9×	67 1.2×	101 2.7×	9	372
Zhixue Zheng China	10	96 0.7×	70 0.7×	185 2.2×	27 0.5×	31 0.8×	19	353

Countries citing papers authored by Yumi Terakado

Since Specialization

Citations

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

Fields of papers citing papers by Yumi Terakado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yumi Terakado

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

All Works

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9 of 9 papers shown

Murakami, Kazuhiro, et al.. (2021). A genome-scale CRISPR screen reveals factors regulating Wnt-dependent renewal of mouse gastric epithelial cells. Proceedings of the National Academy of Sciences. 118(4). 45 indexed citations

Fatehullah, Aliya, Yumi Terakado, Shawna Tan, et al.. (2021). A tumour-resident Lgr5+ stem-cell-like pool drives the establishment and progression of advanced gastric cancers. Nature Cell Biology. 23(12). 1299–1313. 52 indexed citations

Sato, Hiroki, Ryu Imamura, Katsuya Sakai, et al.. (2019). Distinct Localization of Mature HGF from its Precursor Form in Developing and Repairing the Stomach. International Journal of Molecular Sciences. 20(12). 2955–2955. 12 indexed citations

Ikenoue, Tsuneo, Yumi Terakado, Chi Zhu, et al.. (2018). Establishment and analysis of a novel mouse line carrying a conditional knockin allele of a cancer-specific FBXW7 mutation. Scientific Reports. 8(1). 2021–2021. 8 indexed citations

Noguchi, Rei, Kiyoshi Yamaguchi, Tsuneo Ikenoue, et al.. (2017). Genetic alterations in Japanese extrahepatic biliary tract cancer. Oncology Letters. 14(1). 877–884. 11 indexed citations

Zhu, Chi, Kiyoshi Yamaguchi, Yumi Terakado, et al.. (2017). Identification of FERM domain‐containing protein 5 as a novel target of β‐catenin/TCF7L2 complex. Cancer Science. 108(4). 612–619. 8 indexed citations

Ikenoue, Tsuneo, Yumi Terakado, Hayato Nakagawa, et al.. (2016). A novel mouse model of intrahepatic cholangiocarcinoma induced by liver-specific Kras activation and Pten deletion. Scientific Reports. 6(1). 23899–23899. 65 indexed citations

Ikenoue, Tsuneo, Yumi Terakado, Kiyoshi Yamaguchi, & Yoichi Furukawa. (2016). Abstract 658: Elucidation of cellular origin of mouse intrahepatic cholangiocarcinoma induced by liver-specific Kras activation and Pten deletion. Cancer Research. 76(14_Supplement). 658–658. 1 indexed citations

Noguchi, Rei, Hideaki Yano, Toru Igari, et al.. (2015). Molecular profiles of high‐grade and low‐grade pseudomyxoma peritonei. Cancer Medicine. 4(12). 1809–1816. 53 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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