Chie Fukuda

919 total citations · 1 hit paper
10 papers, 718 citations indexed

About

Chie Fukuda is a scholar working on Molecular Biology, Rheumatology and Oncology. According to data from OpenAlex, Chie Fukuda has authored 10 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Rheumatology and 3 papers in Oncology. Recurrent topics in Chie Fukuda's work include Bone Metabolism and Diseases (6 papers), Bone and Dental Protein Studies (4 papers) and Bone health and treatments (2 papers). Chie Fukuda is often cited by papers focused on Bone Metabolism and Diseases (6 papers), Bone and Dental Protein Studies (4 papers) and Bone health and treatments (2 papers). Chie Fukuda collaborates with scholars based in Japan, United States and Australia. Chie Fukuda's co-authors include Toshio Suda, Nobuyuki Udagawa, Yuko Nakamichi, Masanori Koide, Hisataka Yasuda, Yuriko Furuya, Shunsuke Uehara, Yasuhiro Kobayashi, Teruhito Yamashita and Midori Nakamura and has published in prestigious journals such as Bone, Journal of Pharmaceutical and Biomedical Analysis and Planta Medica.

In The Last Decade

Chie Fukuda

10 papers receiving 705 citations

Hit Papers

Osteoclast differentiation by RANKL and OPG signaling pat... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chie Fukuda Japan 9 465 218 119 110 105 10 718
Helena Kaija Finland 14 597 1.3× 303 1.4× 97 0.8× 86 0.8× 101 1.0× 25 946
Fumiaki Shinohara Japan 16 569 1.2× 150 0.7× 85 0.7× 46 0.4× 72 0.7× 24 831
Jacob Kenny Australia 12 534 1.1× 260 1.2× 66 0.6× 82 0.7× 206 2.0× 16 790
Jianbo He China 14 571 1.2× 205 0.9× 64 0.5× 74 0.7× 223 2.1× 16 866
Jinbo Yuan China 16 401 0.9× 189 0.9× 48 0.4× 68 0.6× 167 1.6× 35 667
Jeroen A.D.M. de Roos Netherlands 13 316 0.7× 155 0.7× 31 0.3× 100 0.9× 62 0.6× 15 795
Qipeng Wu China 17 264 0.6× 89 0.4× 137 1.2× 83 0.8× 106 1.0× 30 716
Qin Fu China 18 707 1.5× 147 0.7× 90 0.8× 68 0.6× 140 1.3× 28 997
Song Xu China 19 840 1.8× 186 0.9× 138 1.2× 261 2.4× 110 1.0× 53 1.4k

Countries citing papers authored by Chie Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Chie Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chie Fukuda

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

All Works

10 of 10 papers shown
1.
Tsukazaki, Hiroyuki, Junichi Kikuta, Tomoka Ao, et al.. (2021). Anti-Siglec-15 antibody suppresses bone resorption by inhibiting osteoclast multinucleation without attenuating bone formation. Bone. 152. 116095–116095. 10 indexed citations
3.
Udagawa, Nobuyuki, Masanori Koide, Midori Nakamura, et al.. (2020). Osteoclast differentiation by RANKL and OPG signaling pathways. Journal of Bone and Mineral Metabolism. 39(1). 19–26. 480 indexed citations breakdown →
4.
Takahata, Masahiko, Masahiro Ota, Chie Fukuda, et al.. (2020). Siglec-15-targeting therapy protects against glucocorticoid-induced osteoporosis of growing skeleton in juvenile rats. Bone. 135. 115331–115331. 22 indexed citations
5.
Takahata, Masahiko, Masahiro Ota, Chie Fukuda, et al.. (2018). Siglec-15-targeting therapy increases bone mass in rats without impairing skeletal growth. Bone. 116. 172–180. 28 indexed citations
6.
Hiruma, Yoshiharu, Toshio Suda, Naoyuki Maeda, et al.. (2012). Impaired osteoclast differentiation and function and mild osteopetrosis development in Siglec-15-deficient mice. Bone. 53(1). 87–93. 59 indexed citations
7.
Bonin, Antonio M., Jaime A. Yáñez, Chie Fukuda, et al.. (2009). Inhibition of experimental colorectal cancer and reduction in renal and gastrointestinal toxicities by copper–indomethacin in rats. Cancer Chemotherapy and Pharmacology. 66(4). 755–764. 39 indexed citations
8.
Roupe, Kathryn, et al.. (2005). Direct high-performance liquid chromatographic analysis of d-tocopheryl acid succinate and derivatives. Journal of Pharmaceutical and Biomedical Analysis. 39(1-2). 33–38. 12 indexed citations
9.
Teng, Xiao Wei, et al.. (2005). Pharmacokinetics and tissue distribution of d‐alpha‐tocopheryl succinate formulations following intravenous administration in the rat. Biopharmaceutics & Drug Disposition. 26(5). 195–203. 11 indexed citations
10.
Miyamoto, Masaaki, et al.. (1998). Prenylflavonoids: A New Class of Non-Steroidal Phytoestrogen (Part 2). Estrogenic Effects of 18-Isopentenylnaringenin on Bone Metabolism. Planta Medica. 64(6). 516–519. 54 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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