Masaki Noda

7.7k citations
150 papers · 6.2k indexed · 1 hit paper · h-index 41
Topics
Bone Metabolism and Diseases (64 papers)Bone health and treatments (38 papers)TGF-β signaling in diseases (28 papers)

In The Last Decade

Masaki Noda

149 papers receiving 6.1k citations

Hit Papers

Leptin regulation of bone resorption by the sympathetic n...200520262012201920052505007501000

Peers

Masaki Noda
Comparison fields: 5 of 142
  • Molecular Biology 3.7k
  • Oncology 1.3k
  • Orthopedics and Sports Medicine 824
  • Rheumatology 765
  • Genetics 692
Replace Eiichi Hinoi with:
Eiichi Hinoi Japan
Michael W. Starbuck United States
Xiangli Yang United States
Jong Deok Ahn South Korea
K.‐H. William Lau United States
Florent Elefteriou United States
Matthias Priemel Germany
Maria Grano Italy
Harry C. Blair United States
Silvia Colucci Italy
Masaki Noda relative to Eiichi Hinoi Japan Eiichi Hinoi's profile →
Citations per field
00.5×1.5×
Eiichi Hinoi · 1×
Citations per year

Countries citing papers authored by Masaki Noda

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Noda. A scholar is included among the top collaborators of Masaki Noda 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 Masaki Noda. Masaki Noda 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
#WorkIndexed citations
1 2
2 1
3 5
4 144
5 25
6 222
7 16
8
[Parathyroid hormone : its anabolic action on bone].
1
9 53
10 8
11 75
12 28
13 26
14 21
15 6
16 41
17 265
18 52
19 45
20 74

About Masaki Noda

Masaki Noda is a scholar working on Orthopedics and Sports Medicine, Rheumatology and Molecular Biology, having authored 150 papers that have together received 6.2k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (64 papers), Bone health and treatments (38 papers) and TGF-β signaling in diseases (28 papers). The work is most often cited by research in Orthopedics and Sports Medicine (824 citations), Molecular Biology (3.7k citations) and Endocrine and Autonomic Systems (357 citations). Masaki Noda has collaborated with scholars based in Japan, United States and Sri Lanka. Frequent co-authors include Akira Nifuji, Yoichi Ezura, Kunikazu Tsuji, Kazuhisa Nakashima, Gideon A. Rodan, Tadayoshi Hayata, Shu Takeda, Gérard Karsenty, Hisataka Kondo and Christian Vaisse. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026