Koh Nakayama

1.8k total citations
26 papers, 1.5k citations indexed

About

Koh Nakayama is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Koh Nakayama has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Koh Nakayama's work include Cancer, Hypoxia, and Metabolism (15 papers), Mitochondrial Function and Pathology (6 papers) and Ubiquitin and proteasome pathways (6 papers). Koh Nakayama is often cited by papers focused on Cancer, Hypoxia, and Metabolism (15 papers), Mitochondrial Function and Pathology (6 papers) and Ubiquitin and proteasome pathways (6 papers). Koh Nakayama collaborates with scholars based in Japan, United States and Australia. Koh Nakayama's co-authors include Ze’ev A. Ronai, Jianfei Qi, David D.L. Bowtell, Anindita Bhoumik, Naoyuki Kataoka, Mette K. Hagensen, Takayuki Kadoya, Hediye Erdjument‐Bromage, Paul Tempst and Peter B. Frappell and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Koh Nakayama

25 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koh Nakayama Japan 20 1.0k 637 358 160 156 26 1.5k
David I. Bellovin United States 16 991 1.0× 448 0.7× 553 1.5× 233 1.5× 106 0.7× 30 1.8k
Dana Napier United States 20 1.2k 1.2× 433 0.7× 300 0.8× 80 0.5× 111 0.7× 24 1.6k
Ming You United States 16 1.0k 1.0× 470 0.7× 339 0.9× 98 0.6× 253 1.6× 33 1.6k
Chanel E. Smart Australia 19 988 1.0× 576 0.9× 433 1.2× 116 0.7× 114 0.7× 40 1.5k
M. Phillip DeYoung United States 10 1.3k 1.3× 435 0.7× 745 2.1× 224 1.4× 116 0.7× 18 1.8k
Alina Molchadsky Israel 21 1.3k 1.2× 518 0.8× 797 2.2× 107 0.7× 116 0.7× 28 1.8k
Teijiro Aso Japan 18 1.4k 1.3× 487 0.8× 221 0.6× 234 1.5× 171 1.1× 33 1.9k
Kian Leong Lee Singapore 23 1.4k 1.3× 562 0.9× 349 1.0× 172 1.1× 147 0.9× 40 2.0k
Robert F. Shearer Australia 15 925 0.9× 406 0.6× 393 1.1× 159 1.0× 112 0.7× 18 1.3k
Wenjian Gan United States 21 1.7k 1.6× 317 0.5× 325 0.9× 227 1.4× 151 1.0× 34 2.0k

Countries citing papers authored by Koh Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Koh Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koh Nakayama

This figure shows the co-authorship network connecting the top 25 collaborators of Koh Nakayama. A scholar is included among the top collaborators of Koh Nakayama 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 Koh Nakayama. Koh Nakayama 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.
Ito, Masaoki, Shinsuke Sasada, Akiko Emi, et al.. (2025). Diversity of ER-positive and HER2-negative breast cancer stem cells attained using selective culture techniques. Scientific Reports. 15(1). 8257–8257.
2.
Nakayama, Koh, Sigal Shachar, Elizabeth H. Finn, et al.. (2022). Large-scale mapping of positional changes of hypoxia-responsive genes upon activation. Molecular Biology of the Cell. 33(8). 6 indexed citations
3.
Kadoya, Takayuki, Yoshie Kobayashi, Shinsuke Sasada, et al.. (2021). Effect of Wnt5a on drug resistance in estrogen receptor-positive breast cancer. Breast Cancer. 28(5). 1062–1071. 2 indexed citations
4.
Nakayama, Koh, et al.. (2019). Prolonged hypoxia decreases nuclear pyruvate dehydrogenase complex and regulates the gene expression. Biochemical and Biophysical Research Communications. 520(1). 128–135. 18 indexed citations
5.
Yonashiro, Ryo, et al.. (2018). Pyruvate Dehydrogenase PDH-E1β Controls Tumor Progression by Altering the Metabolic Status of Cancer Cells. Cancer Research. 78(7). 1592–1603. 46 indexed citations
6.
Gudla, Prabhakar R., Koh Nakayama, Gianluca Pegoraro, & Tom Misteli. (2017). SpotLearn: Convolutional Neural Network for Detection of Fluorescence In Situ Hybridization (FISH) Signals in High-Throughput Imaging Approaches. Cold Spring Harbor Symposia on Quantitative Biology. 82. 57–70. 34 indexed citations
7.
8.
Katsuta, Eriko, Shinji Tanaka, Kaoru Mogushi, et al.. (2015). CD73 as a therapeutic target for pancreatic neuroendocrine tumor stem cells. International Journal of Oncology. 48(2). 657–669. 35 indexed citations
9.
Kikuchi, Daisuke, Kousuke Tanimoto, & Koh Nakayama. (2015). CREB is activated by ER stress and modulates the unfolded protein response by regulating the expression of IRE1α and PERK. Biochemical and Biophysical Research Communications. 469(2). 243–250. 36 indexed citations
10.
Nakayama, Koh, et al.. (2013). Acetylcholine receptors regulate gene expression that is essential for primitive streak formation in murine embryoid bodies. Biochemical and Biophysical Research Communications. 435(3). 447–453. 9 indexed citations
11.
Tanaka, Shinji, Kaoru Mogushi, Arihiro Aihara, et al.. (2013). Visualization of stem cell features in human hepatocellular carcinoma reveals in vivo significance of tumor-host interaction and clinical course. Hepatology. 58(1). 218–228. 54 indexed citations
12.
Nakayama, Koh, et al.. (2010). Human PRP19 interacts with prolyl-hydroxylase PHD3 and inhibits cell death in hypoxia. Experimental Cell Research. 316(17). 2871–2882. 22 indexed citations
13.
Nakayama, Koh. (2010). Growth and progression of melanoma and non‐melanoma skin cancers regulated by ubiquitination. Pigment Cell & Melanoma Research. 23(3). 338–351. 21 indexed citations
14.
Qi, Jianfei, Koh Nakayama, Robert D. Cardiff, et al.. (2010). Siah2-Dependent Concerted Activity of HIF and FoxA2 Regulates Formation of Neuroendocrine Phenotype and Neuroendocrine Prostate Tumors. Cancer Cell. 18(1). 23–38. 192 indexed citations
15.
Nakayama, Koh, Jianfei Qi, & Ze’ev A. Ronai. (2009). The Ubiquitin Ligase Siah2 and the Hypoxia Response. Molecular Cancer Research. 7(4). 443–451. 99 indexed citations
16.
17.
Khurana, Ashwani, Koh Nakayama, Scott Williams, et al.. (2006). Regulation of the Ring Finger E3 Ligase Siah2 by p38 MAPK. Journal of Biological Chemistry. 281(46). 35316–35326. 71 indexed citations
18.
Nakayama, Koh, Ian J. Frew, Mette K. Hagensen, et al.. (2004). Siah2 Regulates Stability of Prolyl-Hydroxylases, Controls HIF1α Abundance, and Modulates Physiological Responses to Hypoxia. Cell. 117(7). 941–952. 338 indexed citations
19.
Didier, Christine, Limor Broday, Anindita Bhoumik, et al.. (2003). RNF5, a RING Finger Protein That Regulates Cell Motility by Targeting Paxillin Ubiquitination and Altered Localization. Molecular and Cellular Biology. 23(15). 5331–5345. 94 indexed citations
20.
Nakayama, Koh, Kyung‐Woon Kim, & Atsushi Miyajima. (2002). A novel nuclear zinc finger protein EZI enhances nuclear retention and transactivation of STAT3. The EMBO Journal. 21(22). 6174–6184. 24 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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