Akifumi Togari

6.8k total citations
148 papers, 5.7k citations indexed

About

Akifumi Togari is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Akifumi Togari has authored 148 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 53 papers in Cellular and Molecular Neuroscience and 34 papers in Physiology. Recurrent topics in Akifumi Togari's work include Bone Metabolism and Diseases (29 papers), Neuropeptides and Animal Physiology (28 papers) and Bone health and treatments (19 papers). Akifumi Togari is often cited by papers focused on Bone Metabolism and Diseases (29 papers), Neuropeptides and Animal Physiology (28 papers) and Bone health and treatments (19 papers). Akifumi Togari collaborates with scholars based in Japan, United States and Hungary. Akifumi Togari's co-authors include Makio Mogi, Toshiharu Nagatsu, Hiroshi Ichinose, Michitsugu Arai, Ayami Kondo, Hisataka Kondo, Gordon Guroff, Geneva Dickens, Yasuko Koshihara and Yoshikuni Mizuno and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Analytical Biochemistry.

In The Last Decade

Akifumi Togari

145 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akifumi Togari Japan 39 2.5k 1.8k 870 844 780 148 5.7k
Makio Mogi Japan 38 2.5k 1.0× 2.0k 1.1× 839 1.0× 2.0k 2.3× 788 1.0× 99 6.5k
Graeme Bilbe Switzerland 42 2.8k 1.1× 1.5k 0.9× 491 0.6× 938 1.1× 538 0.7× 81 5.4k
Osvaldo Delbono United States 45 3.6k 1.4× 1.3k 0.7× 1.5k 1.7× 425 0.5× 408 0.5× 136 5.8k
José Brás United States 45 1.6k 0.6× 860 0.5× 1.9k 2.2× 1.9k 2.2× 500 0.6× 146 6.0k
G Tredici Italy 46 1.6k 0.6× 897 0.5× 1.2k 1.4× 864 1.0× 1.8k 2.3× 183 5.7k
David L. Shelton United States 36 2.2k 0.9× 4.0k 2.2× 2.3k 2.7× 303 0.4× 783 1.0× 62 7.6k
F.G.I. Jennekens Netherlands 40 1.2k 0.5× 1.9k 1.1× 652 0.7× 1.6k 1.9× 376 0.5× 132 4.8k
Zarife Sahenk United States 49 4.6k 1.8× 1.9k 1.1× 1.4k 1.6× 1.4k 1.6× 544 0.7× 145 7.7k
Florent Elefteriou United States 35 2.2k 0.9× 618 0.4× 1.1k 1.3× 293 0.3× 962 1.2× 74 5.8k
Lin Xie China 49 4.3k 1.7× 3.3k 1.9× 1.2k 1.4× 888 1.1× 461 0.6× 181 11.3k

Countries citing papers authored by Akifumi Togari

Since Specialization
Citations

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

Fields of papers citing papers by Akifumi Togari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akifumi Togari

This figure shows the co-authorship network connecting the top 25 collaborators of Akifumi Togari. A scholar is included among the top collaborators of Akifumi Togari 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 Akifumi Togari. Akifumi Togari 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.
Hamamura, Kazunori, Koichi Furukawa, Takuma Sato, et al.. (2022). Attenuation of Bone Formation through a Decrease in Osteoblasts in Mutant Mice Lacking the GM2/GD2 Synthase Gene. International Journal of Molecular Sciences. 23(16). 9044–9044. 6 indexed citations
2.
Miyazawa, Ken, Kazunori Hamamura, Masako Tabuchi, et al.. (2021). Suppression of alveolar bone resorption by salubrinal in a mouse model of periodontal disease. Life Sciences. 284. 119938–119938. 12 indexed citations
3.
Miyazawa, Ken, Takuma Sato, Masako Tabuchi, et al.. (2021). Effects of a β2-adrenergic receptor blocker on experimental periodontitis in spontaneously hypertensive rats. Life Sciences. 277. 119593–119593. 3 indexed citations
4.
Hamamura, Kazunori, Koichi Furukawa, Makoto Uchikawa, et al.. (2019). Deletion of Gb3 Synthase in Mice Resulted in the Attenuation of Bone Formation via Decrease in Osteoblasts. International Journal of Molecular Sciences. 20(18). 4619–4619. 6 indexed citations
5.
Hamamura, Kazunori, Hironori Mori, Koichi Furukawa, et al.. (2019). Deficiency of GD3 Synthase in Mice Resulting in the Attenuation of Bone Loss with Aging. International Journal of Molecular Sciences. 20(11). 2825–2825. 15 indexed citations
6.
Hamamura, Kazunori, et al.. (2016). Suppression of osteoclastogenesis via upregulation of Zfyve21 and Ddit4 by salubrinal and guanabenz. IUScholarWorks (Indiana University). 35(3). 127–135. 1 indexed citations
7.
Togari, Akifumi, Hisataka Kondo, Takao Hirai, et al.. (2015). Regulation of bone metabolism by sympathetic nervous system. Folia Pharmacologica Japonica. 145(3). 140–145. 2 indexed citations
8.
Takeuchi, Shoko, et al.. (2013). Acidosis Inhibits Mineralization in Human Osteoblasts. Calcified Tissue International. 93(3). 233–240. 23 indexed citations
9.
Kondo, Hisataka, et al.. (2012). Comparison of β-Adrenergic and Glucocorticoid Signaling on Clock Gene and Osteoblast-Related Gene Expressions in Human Osteoblast. Chronobiology International. 29(1). 66–74. 52 indexed citations
10.
Togari, Akifumi. (2010). [Control of bone remodeling by nervous system. Regulation of bone metabolism by peripheral nervous system].. PubMed. 20(12). 1831–8. 1 indexed citations
11.
Amano, Satoshi, Masahiro Arai, Shigeru Goto, & Akifumi Togari. (2007). Inhibitory effect of NPY on isoprenaline-induced osteoclastogenesis in mouse bone marrow cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1770(6). 966–973. 38 indexed citations
12.
Mogi, Makio, et al.. (2006). Increase in RANKL: OPG Ratio in Synovia of Patients with Temporomandibular Joint Disorder. Journal of Dental Research. 85(7). 627–632. 31 indexed citations
13.
Mogi, Makio, Nobuaki Ozeki, Hiroshi Nakamura, & Akifumi Togari. (2004). Dual roles for NF-κB activation in osteoblastic cells by serum deprivation: osteoblastic apoptosis and cell-cycle arrest. Bone. 35(2). 507–516. 22 indexed citations
14.
Mogi, Makio & Akifumi Togari. (2003). Activation of Caspases Is Required for Osteoblastic Differentiation. Journal of Biological Chemistry. 278(48). 47477–47482. 109 indexed citations
15.
Togari, Akifumi. (2002). Adrenergic regulation of bone metabolism: Possible involvement of sympathetic innervation of osteoblastic and osteoclastic cells. Microscopy Research and Technique. 58(2). 77–84. 168 indexed citations
16.
Kondo, Ayami, Yasuko Koshihara, & Akifumi Togari. (2001). Signal Transduction System for Interleukin-6 Synthesis Stimulated by Lipopolysaccharide in Human Osteoblasts. Journal of Interferon & Cytokine Research. 21(11). 943–950. 26 indexed citations
17.
Mogi, Makio, Akifumi Togari, Toshikazu Kondo, et al.. (2000). Caspase activities and tumor necrosis factor receptor R1 (p55) level are elevated in the substantia nigra from Parkinsonian brain. Journal of Neural Transmission. 107(3). 335–341. 223 indexed citations
18.
Nagatsu, Toshiharu, et al.. (1999). Neopterin and Cytokines in Hereditary Dystonia and Parkinson's Disease. Pteridines. 10(1). 5–13. 2 indexed citations
19.
Fukuda, Hideomi, Yoshihisa Kudo, & Akifumi Togari. (1979). . Folia Pharmacologica Japonica. 75(6). 535–542. 4 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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