Dai Nakashima

1.5k total citations
49 papers, 1.2k citations indexed

About

Dai Nakashima is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Dai Nakashima has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 17 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Dai Nakashima's work include Oral and Maxillofacial Pathology (9 papers), Cancer-related gene regulation (7 papers) and RNA modifications and cancer (7 papers). Dai Nakashima is often cited by papers focused on Oral and Maxillofacial Pathology (9 papers), Cancer-related gene regulation (7 papers) and RNA modifications and cancer (7 papers). Dai Nakashima collaborates with scholars based in Japan, United Kingdom and United States. Dai Nakashima's co-authors include Hideki Tanzawa, Katsuhiro Uzawa, Atsushi Kasamatsu, Masashi Shiiba, Katsunori Ogawara, Morihiro Higo, Hirofumi Koike, Kazuki Saito, Hidetaka Yokoe and Yosuke Endo‐Sakamoto and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Dai Nakashima

48 papers receiving 1.1k citations

Peers

Dai Nakashima

ONCOL

IMMUN

Morihiro Higo Japan

Catherine Del Vecchio Fitz United States

Alice Banh United States

Anne Cromer France

Shaohua Peng United States

Yukinao Kouzu Japan

Elena A. Takano Australia

Stephen B. Keysar United States

M. Phillip DeYoung United States

Yuanzheng Qiu China

Morihiro Higo Japan

Dai Nakashima

584 ×0.7

254 ×0.7

ONCOL

228 ×0.7

142 ×0.8

99 ×0.7

IMMUN

Citations per year, relative to Dai Nakashima Dai Nakashima (= 1×) peers Morihiro Higo

Countries citing papers authored by Dai Nakashima

Since Specialization

Citations

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

Fields of papers citing papers by Dai Nakashima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai Nakashima

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

All Works

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20 of 20 papers shown

Uzawa, Katsuhiro, Junichiro Yamamoto, Kohei Kawasaki, et al.. (2021). Engineered exosomes delivering specific tumor-suppressive RNAi attenuate oral cancer progression. Scientific Reports. 11(1). 5897–5897. 45 indexed citations

Uzawa, Katsuhiro, Atsushi Kasamatsu, Tomoaki Saito, et al.. (2019). Growth suppression of human oral cancer cells by candidate agents for cetuximab-side effects. Experimental Cell Research. 376(2). 210–220. 4 indexed citations

Kasamatsu, Atsushi, Dai Nakashima, Kazuaki Fushimi, et al.. (2018). Critical role of deoxynucleotidyl transferase terminal interacting protein 1 in oral cancer. Laboratory Investigation. 98(8). 980–988. 14 indexed citations

Kasamatsu, Atsushi, Dai Nakashima, Morihiro Higo, et al.. (2018). Overexpression of Translocation Associated Membrane Protein 2 Leading to Cancer-Associated Matrix Metalloproteinase Activation as a Putative Metastatic Factor for Human Oral Cancer. Journal of Cancer. 9(18). 3326–3333. 22 indexed citations

Kasamatsu, Atsushi, Masanobu Yamatoji, Dai Nakashima, et al.. (2017). TEAD4-YAP interaction regulates tumoral growth by controlling cell-cycle arrest at the G1 phase. Biochemical and Biophysical Research Communications. 486(2). 385–390. 30 indexed citations

Kasamatsu, Atsushi, Yosuke Endo‐Sakamoto, Dai Nakashima, et al.. (2016). Novel mechanism of aberrant ZIP4 expression with zinc supplementation in oral tumorigenesis. Biochemical and Biophysical Research Communications. 483(1). 339–345. 16 indexed citations

Uzawa, Katsuhiro, Atsushi Kasamatsu, Tomoaki Saito, et al.. (2016). Long-term culture of human odontoma-derived cells with a Rho kinase inhibitor. Experimental Cell Research. 347(1). 232–240. 17 indexed citations

Kasamatsu, Atsushi, Dai Nakashima, Masanobu Yamatoji, et al.. (2016). ARNT2 Regulates Tumoral Growth in Oral Squamous Cell Carcinoma. Journal of Cancer. 7(6). 702–710. 29 indexed citations

Kasamatsu, Atsushi, Dai Nakashima, Tomoaki Saito, et al.. (2016). Tie2 Regulates Tumor Metastasis of Oral Squamous Cell Carcinomas. Journal of Cancer. 7(5). 600–607. 17 indexed citations

10.

Kasamatsu, Atsushi, Masanobu Yamatoji, Dai Nakashima, et al.. (2015). Kinesin family member 14 in human oral cancer: A potential biomarker for tumoral growth. Biochemistry and Biophysics Reports. 3. 26–31. 20 indexed citations

11.

Minakawa, Yasuyuki, Atsushi Kasamatsu, Hirofumi Koike, et al.. (2013). Kinesin Family member 4A: A Potential Predictor for Progression of Human Oral Cancer. PLoS ONE. 8(12). e85951–e85951. 66 indexed citations

12.

Ogawara, Katsunori, Ken Shimada, Takashi Ishigami, et al.. (2012). A case of basaloid squamous cell carcinoma of the lower gingiva. Japanese Journal of Oral & Maxillofacial Surgery. 58(9). 536–540. 1 indexed citations

13.

Kasamatsu, Atsushi, Masashi Shiiba, Dai Nakashima, et al.. (2012). Epithelioid myoepithelioma of the hard palate. Oral and Maxillofacial Surgery. 17(1). 63–66. 5 indexed citations

14.

Kasamatsu, Atsushi, Katsuhiro Uzawa, Kazuyuki Koike, et al.. (2011). Loss of heterozvgosity in oral cancer. 8(2). 37–43.

15.

Iyoda, Manabu, Atsushi Kasamatsu, Takashi Ishigami, et al.. (2010). Epithelial Cell Transforming Sequence 2 in Human Oral Cancer. PLoS ONE. 5(11). e14082–e14082. 66 indexed citations

16.

Yamano, Yukio, Katsuhiro Uzawa, Kazuki Saito, et al.. (2009). Identification of cisplatin‐resistance related genes in head and neck squamous cell carcinoma. International Journal of Cancer. 126(2). 437–449. 80 indexed citations

17.

Uzawa, Katsuhiro, Yukio Yamano, Kazuaki Fushimi, et al.. (2008). Down-regulation of plasma membranous Annexin A1 protein expression in premalignant and malignant lesions of the oral cavity: correlation with epithelial differentiation. Journal of Cancer Research and Clinical Oncology. 135(7). 943–949. 21 indexed citations

18.

Onda, Takeshi, Katsuhiro Uzawa, Dai Nakashima, et al.. (2007). Lin-7C/VELI3/MALS-3: An Essential Component in Metastasis of Human Squamous Cell Carcinoma. Cancer Research. 67(20). 9643–9648. 23 indexed citations

19.

Uzawa, Katsuhiro, Kazuki Saito, Dai Nakashima, et al.. (2006). Gene expression pattern in oral cancer cervical lymph node metastasis. Oncology Reports. 16(5). 1009–14. 18 indexed citations

20.

Kasamatsu, Atsushi, Katsuhiro Uzawa, Dai Nakashima, et al.. (2005). Identification of candidate genes associated with salivary adenoid cystic carcinomas using combined comparative genomic hybridization and oligonucleotide microarray analyses. The International Journal of Biochemistry & Cell Biology. 37(9). 1869–1880. 23 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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