Go J. Yoshida

3.5k total citations · 2 hit papers
25 papers, 2.5k citations indexed

About

Go J. Yoshida is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Go J. Yoshida has authored 25 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Go J. Yoshida's work include Cancer Cells and Metastasis (10 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Epigenetics and DNA Methylation (4 papers). Go J. Yoshida is often cited by papers focused on Cancer Cells and Metastasis (10 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Epigenetics and DNA Methylation (4 papers). Go J. Yoshida collaborates with scholars based in Japan, United States and Taiwan. Go J. Yoshida's co-authors include Hideyuki Saya, Takeshi Motohara, Arata Azuma, Yukiko Miura, Akira Orimo, Toshifumi Yae, T. Wada, Momoko Yoshikawa, Akiko Kubo and Hiroyuki Aburatani and has published in prestigious journals such as Nature Communications, Oncogene and Scientific Reports.

In The Last Decade

Go J. Yoshida

25 papers receiving 2.5k citations

Hit Papers

Metabolic reprogramming: ... 2015 2026 2018 2022 2015 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Go J. Yoshida Japan 21 1.5k 949 931 313 248 25 2.5k
Zhen Yang China 26 1.6k 1.1× 983 1.0× 1.5k 1.6× 299 1.0× 316 1.3× 77 3.2k
Ievgenia Pastushenko Belgium 10 1.6k 1.1× 973 1.0× 1.2k 1.3× 349 1.1× 271 1.1× 16 2.7k
Tao Yin China 31 1.6k 1.1× 756 0.8× 1.1k 1.2× 201 0.6× 377 1.5× 89 2.7k
Houjie Liang China 29 1.2k 0.8× 881 0.9× 711 0.8× 183 0.6× 340 1.4× 73 2.4k
Zhenhe Suo Norway 32 1.8k 1.2× 872 0.9× 1.3k 1.4× 447 1.4× 273 1.1× 107 3.1k
Xin Xu China 26 1.4k 1.0× 709 0.7× 758 0.8× 281 0.9× 222 0.9× 84 2.3k
Roberta Pang Hong Kong 29 1.6k 1.1× 987 1.0× 1.1k 1.1× 288 0.9× 278 1.1× 53 3.0k
Julia Schüler Germany 20 1.8k 1.3× 1.1k 1.1× 1.4k 1.5× 296 0.9× 294 1.2× 78 3.1k
José M.A. Moreira Denmark 31 1.8k 1.2× 670 0.7× 656 0.7× 210 0.7× 239 1.0× 79 2.8k
Olivier Dormond Switzerland 33 1.7k 1.2× 584 0.6× 1.1k 1.2× 323 1.0× 422 1.7× 72 3.3k

Countries citing papers authored by Go J. Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Go J. Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Go J. Yoshida. 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 Go J. Yoshida. The network helps show where Go J. Yoshida may publish in the future.

Co-authorship network of co-authors of Go J. Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Go J. Yoshida. A scholar is included among the top collaborators of Go J. Yoshida 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 Go J. Yoshida. Go J. Yoshida 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.
Yoshida, Go J.. (2021). The Harmonious Interplay of Amino Acid and Monocarboxylate Transporters Induces the Robustness of Cancer Cells. Metabolites. 11(1). 27–27. 24 indexed citations
2.
Motohara, Takeshi, Go J. Yoshida, & Hidetaka Katabuchi. (2021). The hallmarks of ovarian cancer stem cells and niches: Exploring their harmonious interplay in therapy resistance. Seminars in Cancer Biology. 77. 182–193. 39 indexed citations
3.
Yoshida, Go J. & Hideyuki Saya. (2021). Molecular pathology underlying the robustness of cancer stem cells. Regenerative Therapy. 17. 38–50. 25 indexed citations
4.
Yoshida, Go J.. (2020). Regulation of heterogeneous cancer-associated fibroblasts: the molecular pathology of activated signaling pathways. Journal of Experimental & Clinical Cancer Research. 39(1). 112–112. 220 indexed citations
5.
Yoshida, Go J.. (2020). Applications of patient-derived tumor xenograft models and tumor organoids. Journal of Hematology & Oncology. 13(1). 4–4. 315 indexed citations breakdown →
6.
Zouboulis, Christos C., Go J. Yoshida, Yaojiong Wu, Longqing Xia, & Marlon R. Schneider. (2020). Sebaceous gland: Milestones of 30‐year modelling research dedicated to the “brain of the skin”. Experimental Dermatology. 29(11). 1069–1079. 21 indexed citations
8.
Yoshida, Go J., Arata Azuma, Yukiko Miura, & Akira Orimo. (2019). Activated Fibroblast Program Orchestrates Tumor Initiation and Progression; Molecular Mechanisms and the Associated Therapeutic Strategies. International Journal of Molecular Sciences. 20(9). 2256–2256. 100 indexed citations
9.
Yoshida, Go J.. (2018). Emerging roles of Myc in stem cell biology and novel tumor therapies. Journal of Experimental & Clinical Cancer Research. 37(1). 173–173. 190 indexed citations
10.
Yoshida, Go J.. (2017). Therapeutic strategies of drug repositioning targeting autophagy to induce cancer cell death: from pathophysiology to treatment. Journal of Hematology & Oncology. 10(1). 67–67. 192 indexed citations
11.
Yoshida, Go J.. (2017). The heterogeneity of cancer stem-like cells at the invasive front. Cancer Cell International. 17(1). 23–23. 30 indexed citations
12.
Nasu, Yusuke, Alexander Benke, Satoko Arakawa, et al.. (2016). In Situ Characterization of Bak Clusters Responsible for Cell Death Using Single Molecule Localization Microscopy. Scientific Reports. 6(1). 27505–27505. 30 indexed citations
13.
Yoshida, Go J.. (2015). Metabolic reprogramming: the emerging concept and associated therapeutic strategies. Journal of Experimental & Clinical Cancer Research. 34(1). 111–111. 530 indexed citations breakdown →
14.
Miyauchi, Takayuki, Hiroyuki Yamamoto, Yoichiro Abe, et al.. (2015). Dynamic subcellular localization of aquaporin‐7 in white adipocytes. FEBS Letters. 589(5). 608–614. 27 indexed citations
15.
Oshima, Hiroko, T Ishikawa, Go J. Yoshida, et al.. (2013). TNF-α/TNFR1 signaling promotes gastric tumorigenesis through induction of Noxo1 and Gna14 in tumor cells. Oncogene. 33(29). 3820–3829. 115 indexed citations
16.
Yoshida, Go J. & Hideyuki Saya. (2013). EpCAM expression in the prostate cancer makes the difference in the response to growth factors. Biochemical and Biophysical Research Communications. 443(1). 239–245. 33 indexed citations
17.
Yoshida, Go J. & Hideyuki Saya. (2013). Three-dimensional culture of sebaceous gland cells revealing the role of prostaglandin E2-induced activation of canonical Wnt signaling. Biochemical and Biophysical Research Communications. 438(4). 640–646. 26 indexed citations
18.
Yae, Toshifumi, Kenji Tsuchihashi, Takatsugu Ishimoto, et al.. (2012). Alternative splicing of CD44 mRNA by ESRP1 enhances lung colonization of metastatic cancer cell. Nature Communications. 3(1). 883–883. 311 indexed citations
19.
Yoshida, Go J., Yasushi Fuchimoto, Tomoo Osumi, et al.. (2012). Li-Fraumeni syndrome with simultaneous osteosarcoma and liver cancer: Increased expression of a CD44 variant isoform after chemotherapy. BMC Cancer. 12(1). 444–444. 19 indexed citations
20.
Yoshida, Go J. & Hideyuki Saya. (2011). [Encounter of cancer cells with bone. The significance of cancer stem cells and epithelial-mesenchymal transition in tumor invasion and metastasis].. PubMed. 21(3). 411–7. 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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