Yuichi Mitobe

888 total citations
19 papers, 694 citations indexed

About

Yuichi Mitobe is a scholar working on Molecular Biology, Cancer Research and Agronomy and Crop Science. According to data from OpenAlex, Yuichi Mitobe has authored 19 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Agronomy and Crop Science. Recurrent topics in Yuichi Mitobe's work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers) and T-cell and Retrovirus Studies (6 papers). Yuichi Mitobe is often cited by papers focused on RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers) and T-cell and Retrovirus Studies (6 papers). Yuichi Mitobe collaborates with scholars based in Japan, United Kingdom and United States. Yuichi Mitobe's co-authors include Satoshi Inoue, Jun‐ichirou Yasunaga, Masao Matsuoka, Kuniko Horie‐Inoue, Kazuhiro Ikeda, Ken‐ichi Takayama, Rie Furuta, Kenji Sugata, Hidetaka Kawabata and Takashi Suzuki and has published in prestigious journals such as Blood, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Yuichi Mitobe

19 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuichi Mitobe Japan 16 322 303 240 240 227 19 694
Sandy Y. Welson United Kingdom 6 213 0.7× 87 0.3× 53 0.2× 21 0.1× 49 0.2× 9 380
A. M. Ryan United States 13 214 0.7× 84 0.3× 30 0.1× 32 0.1× 13 0.1× 37 477
Kayoko Nagata Japan 11 235 0.7× 57 0.2× 15 0.1× 36 0.1× 18 0.1× 16 327
Quanquan Ji China 12 536 1.7× 52 0.2× 5 0.0× 117 0.5× 8 0.0× 17 687
Vincent Mocquet France 11 547 1.7× 36 0.1× 19 0.1× 102 0.4× 12 0.1× 21 622
Yurina Hibi Japan 10 226 0.7× 83 0.3× 9 0.0× 71 0.3× 12 0.1× 18 343
Swetlana Mactier Australia 10 151 0.5× 43 0.1× 41 0.2× 12 0.1× 6 0.0× 17 332
Yixi Zhang China 10 117 0.4× 54 0.2× 5 0.0× 29 0.1× 15 0.1× 38 319
Simon Neumann Germany 9 185 0.6× 89 0.3× 2 0.0× 47 0.2× 60 0.3× 12 412
Sirui Liu China 14 348 1.1× 26 0.1× 13 0.1× 33 0.1× 4 0.0× 43 508

Countries citing papers authored by Yuichi Mitobe

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Mitobe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Mitobe

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

All Works

19 of 19 papers shown
1.
Horie, Kuniko, Kiyoshi Takagi, Yuichi Mitobe, et al.. (2022). Estrogen-Inducible LncRNA BNAT1 Functions as a Modulator for Estrogen Receptor Signaling in Endocrine-Resistant Breast Cancer Cells. Cells. 11(22). 3610–3610. 10 indexed citations
2.
Ikeda, Kazuhiro, Takashi Suzuki, Wataru Sato, et al.. (2022). PSPC1 is a potential prognostic marker for hormone-dependent breast cancer patients and modulates RNA processing of ESR1 and SCFD2. Scientific Reports. 12(1). 9495–9495. 9 indexed citations
3.
Mitobe, Yuichi, et al.. (2021). Long Intergenic Noncoding RNA OIN1 Promotes Ovarian Cancer Growth by Modulating Apoptosis-Related Gene Expression. International Journal of Molecular Sciences. 22(20). 11242–11242. 8 indexed citations
4.
Mitobe, Yuichi, Kaori Iino, Ken‐ichi Takayama, et al.. (2020). PSF Promotes ER-Positive Breast Cancer Progression via Posttranscriptional Regulation of ESR1 and SCFD2. Cancer Research. 80(11). 2230–2242. 34 indexed citations
5.
Ikeda, Kazuhiro, et al.. (2020). Long Noncoding RNAs Involved in the Endocrine Therapy Resistance of Breast Cancer. Cancers. 12(6). 1424–1424. 17 indexed citations
6.
Mitobe, Yuichi, et al.. (2020). Roles of Splicing Factors in Hormone-Related Cancer Progression. International Journal of Molecular Sciences. 21(5). 1551–1551. 21 indexed citations
7.
Mitobe, Yuichi, Kazuhiro Ikeda, Wataru Sato, et al.. (2020). Proliferation‐associated long noncoding RNA,TMPO‐AS1, is a potential therapeutic target for triple‐negative breast cancer. Cancer Science. 111(7). 2440–2450. 30 indexed citations
8.
Iino, Kaori, Yuichi Mitobe, Kazuhiro Ikeda, et al.. (2019). RNA‐binding protein NONO promotes breast cancer proliferation by post‐transcriptional regulation of SKP2 and E2F8. Cancer Science. 111(1). 148–159. 64 indexed citations
9.
Mitobe, Yuichi, Kazuhiro Ikeda, Takashi Suzuki, et al.. (2019). ESR1-Stabilizing Long Noncoding RNA TMPO-AS1 Promotes Hormone-Refractory Breast Cancer Progression. Molecular and Cellular Biology. 39(23). 51 indexed citations
10.
Naito, Tadasuke, Jun‐ichirou Yasunaga, Yuichi Mitobe, et al.. (2018). Distinct gene expression signatures induced by viral transactivators of different HTLV-1 subgroups that confer a different risk of HAM/TSP. Retrovirology. 15(1). 72–72. 18 indexed citations
11.
Mitobe, Yuichi, Ken‐ichi Takayama, Kuniko Horie‐Inoue, & Satoshi Inoue. (2018). Prostate cancer-associated lncRNAs. Cancer Letters. 418. 159–166. 73 indexed citations
12.
Sugata, Kenji, Jun‐ichirou Yasunaga, Yuichi Mitobe, et al.. (2016). HTLV-1 Viral Factor HBZ Induces CCR4 to Promote T-cell Migration and Proliferation. Cancer Research. 76(17). 5068–5079. 55 indexed citations
13.
Yasunaga, Jun‐ichirou, et al.. (2016). HTLV-1 bZIP factor protein targets the Rb/E2F-1 pathway to promote proliferation and apoptosis of primary CD4+ T cells. Oncogene. 35(34). 4509–4517. 36 indexed citations
14.
Yasuma-Mitobe, Keiko, Jun‐ichirou Yasunaga, Keiko Takemoto, et al.. (2016). HTLV-1 bZIP Factor Impairs Anti-viral Immunity by Inducing Co-inhibitory Molecule, T Cell Immunoglobulin and ITIM Domain (TIGIT). PLoS Pathogens. 12(1). e1005372–e1005372. 66 indexed citations
15.
Mitobe, Yuichi, Jun‐ichirou Yasunaga, Rie Furuta, & Masao Matsuoka. (2015). HTLV-1 bZIP Factor RNA and Protein Impart Distinct Functions on T-cell Proliferation and Survival. Cancer Research. 75(19). 4143–4152. 72 indexed citations
16.
Sugata, Kenji, Jun‐ichirou Yasunaga, Yuichi Mitobe, et al.. (2015). Protective effect of cytotoxic T lymphocytes targeting HTLV-1 bZIP factor. Blood. 126(9). 1095–1105. 59 indexed citations
17.
Kojima, Kensuke, Tadahito Shimada, Yuichi Mitobe, et al.. (2002). Effect of PPARγ ligands on the viability of gastric epithelial cells. Alimentary Pharmacology & Therapeutics. 16(s2). 67–73. 18 indexed citations
18.
Mitobe, Yuichi, et al.. (2000). The effects of aspirin on antioxidant defences of cultured rat gastric mucosal cells. Alimentary Pharmacology & Therapeutics. 14(s1). 10–17. 15 indexed citations
19.
Mitobe, Yuichi, et al.. (2000). Hydrogen Gas Sensing Using a Pd-Coated Cantilever. Japanese Journal of Applied Physics. 39(6R). 3584–3584. 38 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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