Yuho Kadono

5.7k total citations · 2 hit papers
75 papers, 4.4k citations indexed

About

Yuho Kadono is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Yuho Kadono has authored 75 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 32 papers in Oncology and 25 papers in Rheumatology. Recurrent topics in Yuho Kadono's work include Bone Metabolism and Diseases (33 papers), Bone health and treatments (21 papers) and Rheumatoid Arthritis Research and Therapies (21 papers). Yuho Kadono is often cited by papers focused on Bone Metabolism and Diseases (33 papers), Bone health and treatments (21 papers) and Rheumatoid Arthritis Research and Therapies (21 papers). Yuho Kadono collaborates with scholars based in Japan, United States and South Korea. Yuho Kadono's co-authors include Sakae Tanaka, Kojiro Sato, Yongwon Choi, Shizuo Akira, Nacksung Kim, Kazuo Okamoto, Yasuyuki Morishita, Tatsuhiko Kodama, Yoichiro Iwakura and J. Daniel and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Yuho Kadono

74 papers receiving 4.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Th17 functions as an osteoclastogenic helper T cell subset that links T cell activation and bone destruction

2006 1.2k citations Kojiro Sato, Ayako Suematsu et al. The Journal of Experimental Medicine profile →
OSTEOIMMUNOLOGY: Interplay Between the Immune System and Bone Metabolism

2005 552 citations Nacksung Kim, Yuho Kadono et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuho Kadono Japan	28	2.7k	1.7k	1.2k	967	830	75	4.4k
Kojiro Sato Japan	26	3.8k 1.4×	2.4k 1.4×	2.2k 1.8×	1.3k 1.4×	1.1k 1.3×	69	6.3k
Zhenqiang Yao United States	30	2.6k 1.0×	1.4k 0.9×	538 0.4×	717 0.7×	759 0.9×	48	4.0k
Kanami Itoh Japan	13	1.9k 0.7×	1.3k 0.8×	950 0.8×	740 0.8×	437 0.5×	13	3.2k
Shigeru Kotake Japan	29	2.7k 1.0×	1.7k 1.0×	1.8k 1.4×	1.9k 2.0×	630 0.8×	111	5.6k
Emma Timms Canada	20	3.0k 1.1×	2.3k 1.4×	2.9k 2.3×	563 0.6×	825 1.0×	31	6.1k
Gwyneth Van United States	28	4.3k 1.6×	3.3k 2.0×	1.5k 1.2×	1.0k 1.1×	1.1k 1.3×	42	6.9k
Xijie Yu China	37	2.4k 0.9×	1.0k 0.6×	333 0.3×	1.0k 1.1×	624 0.8×	131	5.2k
Simone Cenci Italy	30	2.6k 1.0×	1.2k 0.7×	839 0.7×	289 0.3×	344 0.4×	67	4.1k
Michael Schoppet Germany	32	1.8k 0.7×	971 0.6×	687 0.6×	365 0.4×	282 0.3×	58	3.3k
G R Mundy United States	26	2.1k 0.8×	2.2k 1.3×	335 0.3×	379 0.4×	284 0.3×	51	3.8k

Countries citing papers authored by Yuho Kadono

Since Specialization

Citations

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

Fields of papers citing papers by Yuho Kadono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuho Kadono

This figure shows the co-authorship network connecting the top 25 collaborators of Yuho Kadono. A scholar is included among the top collaborators of Yuho Kadono 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 Yuho Kadono. Yuho Kadono 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

1.

Araki, Yasuto, et al.. (2024). Regulation of cytokine and chemokine expression by histone lysine methyltransferase MLL1 in rheumatoid arthritis synovial fibroblasts. Scientific Reports. 14(1). 10610–10610. 5 indexed citations

2.

Aizaki, Yoshimi, et al.. (2022). AB0095 CHARACTERISTICS OF TUMOR NECROSIS FACTOR-ALPHA AND INTERLEUKIN-6-INDUCED OSTEOCLASTS IN PERIPHERAL BLOOD AND BONE TISSUE FROM PATIENTS WITH RHEUMATOID ARTHRITIS. Annals of the Rheumatic Diseases. 81. 1178–1179. 1 indexed citations

3.

Kaneko, Yuko, Kei Ikeda, Kazuhisa Nakano, et al.. (2022). Illustrations of rheumatoid arthritis symptoms to promote communication between patients and physicians. Modern Rheumatology. 34(1). 87–91. 3 indexed citations

4.

Yokota, Kazuhiro, Kojiro Sato, Takashi Miyazaki, et al.. (2021). Characterization and Function of Tumor Necrosis Factor and Interleukin‐6–Induced Osteoclasts in Rheumatoid Arthritis. Arthritis & Rheumatology. 73(7). 1145–1154. 150 indexed citations

5.

Yoshioka, Hiroyuki, Yuho Kadono, Yoon Taek Kim, et al.. (2020). Imaging evaluation of the cartilage in rheumatoid arthritis patients with an x-ray phase imaging apparatus based on Talbot-Lau interferometry. Scientific Reports. 10(1). 6561–6561. 16 indexed citations

6.

Tsuchiya, Haruka, Mineto Ota, Shuji Sumitomo, et al.. (2020). Parsing multiomics landscape of activated synovial fibroblasts highlights drug targets linked to genetic risk of rheumatoid arthritis. Annals of the Rheumatic Diseases. 80(4). 440–450. 32 indexed citations

7.

Omata, Yasunori, Shinya Nakamura, Takuma Koyama, et al.. (2016). Identification of Nedd9 as a TGF-β-Smad2/3 Target Gene Involved in RANKL-Induced Osteoclastogenesis by Comprehensive Analysis. PLoS ONE. 11(6). e0157992–e0157992. 7 indexed citations

8.

Matsumoto, Takumi, Yuho Kadono, Jinju Nishino, et al.. (2013). Midterm Results of Resection Arthroplasty for Forefoot Deformities in Patients with Rheumatoid Arthritis and the Risk Factors Associated with Patient Dissatisfaction. The Journal of Foot & Ankle Surgery. 53(1). 41–46. 20 indexed citations

9.

Yasui, Tetsuro, et al.. (2012). Patellar Fracture After Total Knee Arthroplasty for Rheumatoid Arthritis. The Journal of Arthroplasty. 28(1). 40–43. 12 indexed citations

10.

Yasui, Tetsuro, Yuho Kadono, Masaki Nakamura, et al.. (2011). Regulation of RANKL-induced osteoclastogenesis by TGF-β through molecular interaction between Smad3 and Traf6. Journal of Bone and Mineral Research. 26(7). 1447–1456. 92 indexed citations

11.

Matsumoto, Takumi, Yuichi Nagase, Mitsuyasu Iwasawa, et al.. (2011). Distinguishing the proapoptotic and antiresorptive functions of risedronate in murine osteoclasts: Role of the Akt pathway and the ERK/Bim axis. Arthritis & Rheumatism. 63(12). 3908–3917. 24 indexed citations

12.

Yasui, Tetsuro, Jinju Nishino, Yuho Kadono, et al.. (2010). Impact of biologics on the prevalence of orthopedic surgery in the National Database of Rheumatic Diseases in Japan. Modern Rheumatology. 20(3). 233–237. 12 indexed citations

13.

Iwasawa, Mitsuyasu, Tsuyoshi Miyazaki, Yuichi Nagase, et al.. (2009). The antiapoptotic protein Bcl-xL negatively regulates the bone-resorbing activity of osteoclasts in mice. Journal of Clinical Investigation. 119(10). 3149–59. 35 indexed citations

14.

Kadono, Yuho, Atsuhiko Hikita, Yasushi Oshima, et al.. (2008). Tumor necrosis factor-α inhibits chondrogenic differentiation of synovial fibroblasts through p38 mitogen activating protein kinase pathways. Modern Rheumatology. 18(4). 366–378. 9 indexed citations

15.

Kadono, Yuho, Atsuhiko Hikita, Yasushi Oshima, et al.. (2008). Tumor necrosis factor-α inhibits chondrogenic differentiation of synovial fibroblasts through p38 mitogen activating protein kinase pathways. Modern Rheumatology. 18(4). 366–378. 14 indexed citations

16.

Sato, Kojiro, Ayako Suematsu, Kazuo Okamoto, et al.. (2006). Th17 functions as an osteoclastogenic helper T cell subset that links T cell activation and bone destruction. The Journal of Experimental Medicine. 203(12). 2673–2682. 1232 indexed citations breakdown →

17.

Kim, Nacksung, Yuho Kadono, Masamichi Takami, et al.. (2005). Osteoclast differentiation independent of the TRANCE–RANK–TRAF6 axis. The Journal of Experimental Medicine. 202(5). 589–595. 300 indexed citations

18.

Kawaida, Reimi, Toshiaki Ohtsuka, Tohru Takahashi, et al.. (2003). Jun Dimerization Protein 2 (JDP2), a Member of the AP-1 Family of Transcription Factor, Mediates Osteoclast Differentiation Induced by RANKL. The Journal of Experimental Medicine. 197(8). 1029–1035. 70 indexed citations

19.

Nakamura, Ichiro, Yuho Kadono, Hiroshi Takayanagi, et al.. (2002). IL-1 Regulates Cytoskeletal Organization in Osteoclasts Via TNF Receptor-Associated Factor 6/c-Src Complex. The Journal of Immunology. 168(10). 5103–5109. 55 indexed citations

20.

Kobayashi, Norihiko, Yuho Kadono, Asuka Naito, et al.. (2001). Segregation of TRAF6-mediated signaling pathways clarifies its role in osteoclastogenesis. The EMBO Journal. 20(6). 1271–1280. 403 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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