Tomoki Nakashima

14.6k total citations · 7 hit papers
133 papers, 11.4k citations indexed

About

Tomoki Nakashima is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Tomoki Nakashima has authored 133 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 44 papers in Oncology and 40 papers in Cancer Research. Recurrent topics in Tomoki Nakashima's work include Bone Metabolism and Diseases (62 papers), NF-κB Signaling Pathways (35 papers) and Bone health and treatments (32 papers). Tomoki Nakashima is often cited by papers focused on Bone Metabolism and Diseases (62 papers), NF-κB Signaling Pathways (35 papers) and Bone health and treatments (32 papers). Tomoki Nakashima collaborates with scholars based in Japan, United States and Austria. Tomoki Nakashima's co-authors include Hiroshi Takayanagi, Josef Penninger, Mikihito Hayashi, Tatsuhiko Kodama, T. Ono, Teiji Wada, Kazuo Okamoto, Hiroshi Nishina, Masatsugu Oh‐hora and Noriko Komatsu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tomoki Nakashima

130 papers receiving 11.2k citations

Hit Papers

Evidence for osteocyte re... 2005 2026 2012 2019 2011 2005 2013 2006 2012 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tomoki Nakashima 7.0k 3.9k 2.4k 1.7k 1.7k 133 11.4k
Natalie A. Sims 7.6k 1.1× 4.6k 1.2× 1.9k 0.8× 1.2k 0.7× 1.5k 0.9× 206 13.0k
Hiroshi Takayanagi 7.8k 1.1× 4.4k 1.1× 2.4k 1.0× 2.1k 1.2× 1.6k 1.0× 58 10.9k
Lianping Xing 8.6k 1.2× 5.3k 1.4× 1.8k 0.7× 2.5k 1.5× 2.2k 1.3× 177 14.2k
Eijiro Jimi 7.6k 1.1× 4.5k 1.2× 1.9k 0.8× 2.7k 1.6× 1.5k 0.9× 138 10.6k
Matthew T. Gillespie 9.6k 1.4× 6.6k 1.7× 2.3k 1.0× 1.6k 1.0× 2.2k 1.3× 156 14.3k
Maxine Gowen 5.6k 0.8× 3.3k 0.9× 1.2k 0.5× 1.3k 0.8× 2.3k 1.4× 122 10.0k
Nacksung Kim 6.6k 0.9× 3.7k 0.9× 2.0k 0.8× 1.7k 1.0× 952 0.6× 121 9.2k
M. Neale Weitzmann 6.6k 0.9× 3.3k 0.9× 1.7k 0.7× 824 0.5× 962 0.6× 135 10.6k
F. Patrick Ross 10.8k 1.5× 6.0k 1.5× 2.5k 1.0× 2.5k 1.5× 2.4k 1.5× 196 16.8k
W. Scott Simonet 9.5k 1.4× 5.4k 1.4× 1.2k 0.5× 1.5k 0.9× 1.5k 0.9× 43 13.4k

Countries citing papers authored by Tomoki Nakashima

Since Specialization
Citations

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

Fields of papers citing papers by Tomoki Nakashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoki Nakashima

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoki Nakashima. A scholar is included among the top collaborators of Tomoki 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 Tomoki Nakashima. Tomoki Nakashima 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.
Ono, T., et al.. (2023). The interleukin-6 signal regulates orthodontic tooth movement and pain. Biochemical and Biophysical Research Communications. 684. 149068–149068. 10 indexed citations
2.
Tsukasaki, Masayuki, Takako Negishi‐Koga, Ryunosuke Muro, et al.. (2023). Periosteal stem cells control growth plate stem cells during postnatal skeletal growth. Yearbook of pediatric endocrinology. 1 indexed citations
3.
Tsukasaki, Masayuki, Noriko Komatsu, Takako Negishi‐Koga, et al.. (2022). Periosteal stem cells control growth plate stem cells during postnatal skeletal growth. Nature Communications. 13(1). 4166–4166. 37 indexed citations
4.
Liu, Lin, Hiroyuki Koike, T. Ono, et al.. (2021). Identification of a KLF5-dependent program and drug development for skeletal muscle atrophy. Proceedings of the National Academy of Sciences. 118(35). 30 indexed citations
5.
Komatsu, Noriko, Nam Cong‐Nhat Huynh, Shinichiro Sawa, et al.. (2021). Plasma cells promote osteoclastogenesis and periarticular bone loss in autoimmune arthritis. Journal of Clinical Investigation. 131(6). 39 indexed citations
6.
Hayashi, Mikihito, Masanobu Nagano, Yan Wu, et al.. (2020). Development of cyclic peptides with potent in vivo osteogenic activity through RaPID-based affinity maturation. Proceedings of the National Academy of Sciences. 117(49). 31070–31077. 21 indexed citations
7.
Hayashi, Mikihito & Tomoki Nakashima. (2017). [Semaphorin and osteoporosis.]. PubMed. 26(10). 1419–1427. 2 indexed citations
8.
Nakashima, Tomoki. (2017). [Bone homeostasis and Mechano biology.]. PubMed. 26(12). 1685–1695. 3 indexed citations
9.
Nakashima, Tomoki. (2015). [Frontiers in Live Bone Imaging Researches. Amazing function of osteocyte].. PubMed. 25(6). 899–905. 1 indexed citations
10.
Nakashima, Tomoki. (2015). [Bone and Calcium Metabolisms Associated with Dental and Oral-Maxillofacial Diseases. Bone remodeling and alveolar bone homeostasis].. PubMed. 25(8). 1220–8. 2 indexed citations
11.
Nakashima, Tomoki. (2015). [Bone and Calcium Research Update 2015. Regulation of bone remodeling by osteocytes].. PubMed. 25(1). 21–8. 2 indexed citations
12.
Nakashima, Tomoki. (2014). [Bone metastasis and RANKL].. PubMed. 24(8). 1201–8. 3 indexed citations
13.
Hayashi, Mikihito & Tomoki Nakashima. (2014). [Bone and Stem Cells. Molecular mechanisms of the differentiation and activation of osteoclasts derived from hematopoietic cells].. PubMed. 24(4). 487–500. 2 indexed citations
14.
Nakashima, Tomoki. (2014). [Coupling and communication between bone cells].. PubMed. 24(6). 853–61. 7 indexed citations
15.
Nakashima, Tomoki. (2013). [Regulation of bone homeostasis by bone cells].. PubMed. 23(2). 218–28. 9 indexed citations
16.
Nakajima, Tomoki, et al.. (2012). Age is a Negative, and Visceral Fat Accumulation is a Positive, Contributor to Hepatic Steatosis, Regardless of the Fibrosis Progression in Non-alcoholic Fatty Liver Disease. Journal of Gastroenterology and Hepatology Research. 1(11). 315–319. 7 indexed citations
17.
Nakashima, Tomoki, et al.. (2012). [Regulation of bone resorption by osteocytes].. PubMed. 22(5). 685–96. 5 indexed citations
18.
Hayashi, Hideki, Tomoko Kohno, Kiyoshi Yasui, et al.. (2011). Characterization of dsRNA-induced pancreatitis model reveals the regulatory role of IFN regulatory factor 2 ( Irf2 ) in trypsinogen5 gene transcription. Proceedings of the National Academy of Sciences. 108(46). 18766–18771. 14 indexed citations
19.
Kayamori, Kou, Kei Sakamoto, Tomoki Nakashima, et al.. (2009). Roles of Interleukin-6 and Parathyroid Hormone-Related Peptide in Osteoclast Formation Associated with Oral Cancers. American Journal Of Pathology. 176(2). 968–980. 66 indexed citations
20.
Hashimoto, Yuuri, N. Matsuoka, Atsushi Kawakami, et al.. (2001). Novel immunosuppressive effect of FK506 by augmentation of T cell apoptosis. Clinical & Experimental Immunology. 125(1). 19–24. 28 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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