Fumiko Yano

5.2k total citations
137 papers, 4.1k citations indexed

About

Fumiko Yano is a scholar working on Rheumatology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Fumiko Yano has authored 137 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Rheumatology, 39 papers in Molecular Biology and 24 papers in Biomedical Engineering. Recurrent topics in Fumiko Yano's work include Osteoarthritis Treatment and Mechanisms (39 papers), Advanced Materials Characterization Techniques (18 papers) and Semiconductor materials and devices (16 papers). Fumiko Yano is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (39 papers), Advanced Materials Characterization Techniques (18 papers) and Semiconductor materials and devices (16 papers). Fumiko Yano collaborates with scholars based in Japan, United States and Mexico. Fumiko Yano's co-authors include Ung‐il Chung, Taku Saito, Shinsuke Ohba, Hiroshi Kawaguchi, Toshiyuki Ikeda, Kozo Nakamura, Sakae Tanaka, Fumitaka Kugimiya, Atsushi Fukai and Hironori Hojo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Fumiko Yano

134 papers receiving 4.0k citations

Peers

Fumiko Yano
Moonsoo M. Jin United States
Joan K. Heath Australia
Jung‐Min Kim South Korea
Craig L. Duvall United States
Zamri Radzi Malaysia
Moonsoo M. Jin United States
Fumiko Yano
Citations per year, relative to Fumiko Yano Fumiko Yano (= 1×) peers Moonsoo M. Jin

Countries citing papers authored by Fumiko Yano

Since Specialization
Citations

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

Fields of papers citing papers by Fumiko Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumiko Yano

This figure shows the co-authorship network connecting the top 25 collaborators of Fumiko Yano. A scholar is included among the top collaborators of Fumiko Yano 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 Fumiko Yano. Fumiko Yano 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.
Okada, Hiroyuki, Masaru Tanaka, Ryota Chijimatsu, et al.. (2024). Baricitinib ameliorates inflammatory and neuropathic pain in collagen antibody-induced arthritis mice by modulating the IL-6/JAK/STAT3 pathway and CSF-1 expression in dorsal root ganglion neurons. Arthritis Research & Therapy. 26(1). 121–121. 17 indexed citations
2.
Hikita, Atsuhiko, Daisuke Mori, Tomoaki Sakamoto, et al.. (2023). Subcutaneously Transplanted Fresh Cartilage in Allogeneic and Xenogeneic Immunocompetent Mouse. Tissue Engineering Part A. 29(19-20). 541–556. 1 indexed citations
3.
Miyamoto, Yoichi, et al.. (2023). Cathepsin K degrades osteoprotegerin to promote osteoclastogenesis in vitro. In Vitro Cellular & Developmental Biology - Animal. 59(1). 10–18. 3 indexed citations
4.
Hikita, Atsuhiko, Tomoaki Sakamoto, Daisuke Mori, et al.. (2020). Ear Cartilage Reconstruction Combining Induced Pluripotent Stem Cell-Derived Cartilage and Three-Dimensional Shape-Memory Scaffold. Tissue Engineering Part A. 27(9-10). 604–617. 20 indexed citations
5.
Kushioka, Junichi, Takashi Kaito, Ryota Chijimatsu, et al.. (2020). The small compound, TD-198946, protects against intervertebral degeneration by enhancing glycosaminoglycan synthesis in nucleus pulposus cells. Scientific Reports. 10(1). 14190–14190. 9 indexed citations
6.
Yano, Fumiko, Shinsuke Ohba, Yasutaka Murahashi, et al.. (2019). Runx1 contributes to articular cartilage maintenance by enhancement of cartilage matrix production and suppression of hypertrophic differentiation. Scientific Reports. 9(1). 7666–7666. 33 indexed citations
7.
Chang, Song Ho, Daisuke Mori, Hiroshi Kobayashi, et al.. (2019). Excessive mechanical loading promotes osteoarthritis through the gremlin-1–NF-κB pathway. Nature Communications. 10(1). 1442–1442. 229 indexed citations
8.
Murahashi, Yasutaka, Fumiko Yano, Hiroshi Kobayashi, et al.. (2018). Intra-articular administration of IκBα kinase inhibitor suppresses mouse knee osteoarthritis via downregulation of the NF-κB/HIF-2α axis. Scientific Reports. 8(1). 16475–16475. 38 indexed citations
9.
Fujii, Yasuyuki, Yoko Kawase‐Koga, Hironori Hojo, et al.. (2018). Bone regeneration by human dental pulp stem cells using a helioxanthin derivative and cell-sheet technology. Stem Cell Research & Therapy. 9(1). 24–24. 77 indexed citations
10.
Saito, Tadahito, Shinsuke Ohba, Fumiko Yano, et al.. (2015). Runx1 and Runx3 Are Downstream Effectors of Nanog in Promoting Osteogenic Differentiation of the Mouse Mesenchymal Cell Line C3H10T1/2. Cellular Reprogramming. 17(3). 227–234. 6 indexed citations
11.
Sugita, Shurei, Yoko Hosaka, Keita Okada, et al.. (2015). Transcription factor Hes1 modulates osteoarthritis development in cooperation with calcium/calmodulin-dependent protein kinase 2. Proceedings of the National Academy of Sciences. 112(10). 3080–3085. 83 indexed citations
12.
Okada, Keita, Atsushi Fukai, Daisuke Mori, et al.. (2014). Identification of SCAN Domain Zinc-Finger Gene ZNF449 as a Novel Factor of Chondrogenesis. PLoS ONE. 9(12). e115169–e115169. 4 indexed citations
13.
Komiyama, Yuske, Shinsuke Ohba, Nobuyuki Shimohata, et al.. (2013). Tenomodulin Expression in the Periodontal Ligament Enhances Cellular Adhesion. PLoS ONE. 8(4). e60203–e60203. 27 indexed citations
14.
Saito, Taku, Toshiyuki Ikeda, Fumiko Yano, et al.. (2009). Transcriptional induction of SOX9 by NF-κB family member RelA in chondrogenic cells. Osteoarthritis and Cartilage. 17(8). 1065–1075. 58 indexed citations
15.
Kan, Akinori, Toshiyuki Ikeda, Taku Saito, et al.. (2009). Screening of chondrogenic factors with a real‐time fluorescence‐monitoring cell line ATDC5‐C2ER: Identification of sorting nexin 19 as a novel factor. Arthritis & Rheumatism. 60(11). 3314–3323. 21 indexed citations
16.
Kugimiya, Fumitaka, Fumiko Yano, Shinsuke Ohba, et al.. (2005). Mechanism of osteogenic induction by FK506 via BMP/Smad pathways. Biochemical and Biophysical Research Communications. 338(2). 872–879. 48 indexed citations
17.
Takeda, Ryuji, et al.. (2004). A Study on Spontaneously Obese Rat (Minko Rat) with Abnormal Lipid Metabolism, Strength and Mineral Concentrations in Bone. Journal of the American College of Nutrition. 23(6). 712S–714S. 1 indexed citations
18.
Tanaka, Sachi, et al.. (2001). Nutritional manipulation to produce high marbling beef.. Asian-Australasian Journal of Animal Sciences. 14. 140–147. 1 indexed citations
19.
Matsui, Tohru, et al.. (1998). The Improvement of Zinc Bioavailability in Fermented Soybean Meal in Growing Pigs. Nihon Chikusan Gakkaiho. 69(6). 589–591. 7 indexed citations
20.
Uchida, Kazushige, et al.. (1997). Characterization of nitridated layers and their effect on the growth and quality of GaN. Solid-State Electronics. 41(2). 135–139. 11 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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