Masud Khan

867 total citations · 1 hit paper
14 papers, 683 citations indexed

About

Masud Khan is a scholar working on Molecular Biology, Oncology and Orthopedics and Sports Medicine. According to data from OpenAlex, Masud Khan has authored 14 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Masud Khan's work include Bone Metabolism and Diseases (11 papers), Bone health and treatments (10 papers) and Bone health and osteoporosis research (3 papers). Masud Khan is often cited by papers focused on Bone Metabolism and Diseases (11 papers), Bone health and treatments (10 papers) and Bone health and osteoporosis research (3 papers). Masud Khan collaborates with scholars based in Japan, United States and Austria. Masud Khan's co-authors include Kazuhiro Aoki, Josef Penninger, Nobuyuki Udagawa, Genki Kato, Hiroshi Suzuki, Yasutaka Sugamori, Yuki Ikebuchi, Masashi Honma, Shigeki Aoki and Madoka Hayashi and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Masud Khan

14 papers receiving 680 citations

Hit Papers

align trajectories

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.

Coupling of bone resorption and formation by RANKL reverse signalling

2018 420 citations Yuki Ikebuchi, Shigeki Aoki et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masud Khan Japan	9	500	271	148	130	89	14	683
Yasutaka Sugamori Japan	7	384 0.8×	211 0.8×	94 0.6×	110 0.8×	86 1.0×	8	560
Madoka Hayashi Japan	4	378 0.8×	210 0.8×	91 0.6×	114 0.9×	87 1.0×	7	507
Genki Kato Japan	4	333 0.7×	189 0.7×	86 0.6×	96 0.7×	80 0.9×	6	468
Naomi Dirckx United States	9	443 0.9×	121 0.4×	167 1.1×	118 0.9×	90 1.0×	16	762
Brian A Uthgenannt United States	7	351 0.7×	207 0.8×	80 0.5×	168 1.3×	68 0.8×	8	579
Séverine Couillaud France	10	414 0.8×	376 1.4×	89 0.6×	98 0.8×	107 1.2×	12	682
Arantza Infante Spain	13	445 0.9×	117 0.4×	117 0.8×	86 0.7×	71 0.8×	24	809
Guochun Zhu United States	18	650 1.3×	252 0.9×	195 1.3×	86 0.7×	168 1.9×	25	882
Fumitaka Ichida Japan	6	585 1.2×	175 0.6×	102 0.7×	72 0.6×	173 1.9×	7	839
Gwan-Shik Kim South Korea	10	342 0.7×	130 0.5×	111 0.8×	65 0.5×	130 1.5×	11	570

Countries citing papers authored by Masud Khan

Since Specialization

Citations

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

Fields of papers citing papers by Masud Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masud Khan

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

All Works

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14 of 14 papers shown

Li, Bin, et al.. (2023). Effect of tension and compression on dynamic alveolar histomorphometry. Journal of the mechanical behavior of biomedical materials. 138. 105666–105666. 3 indexed citations

Khan, Masud, Masaomi Ikeda, Shin‐ichi Sawada, et al.. (2022). Perforated Hydrogels Consisting of Cholesterol-Bearing Pullulan (CHP) Nanogels: A Newly Designed Scaffold for Bone Regeneration Induced by RANKL-Binding Peptides and BMP-2. International Journal of Molecular Sciences. 23(14). 7768–7768. 4 indexed citations

Khan, Masud, et al.. (2021). Tetracycline, an Appropriate Reagent for Measuring Bone-Formation Activity in the Murine Model of the Streptococcus mutans-Induced Bone Loss. Frontiers in Cellular and Infection Microbiology. 11. 714366–714366. 4 indexed citations

Shimizu, Yuri, et al.. (2021). The Effects of Receptor Activator of NF-κB Ligand-Binding Peptides on Bone Resorption and Bone Formation. Frontiers in Cell and Developmental Biology. 9. 648084–648084. 8 indexed citations

Matsuda, Miho, Masud Khan, Kazuhiro Aoki, et al.. (2020). A novel inhibitor of NF-κB-inducing kinase prevents bone loss by inhibiting osteoclastic bone resorption in ovariectomized mice. Bone. 135. 115316–115316. 28 indexed citations

Ikebuchi, Yuki, Shigeki Aoki, Masashi Honma, et al.. (2019). Coupling of bone resorption and formation by RANKL reverse signalling. Yearbook of pediatric endocrinology. 5 indexed citations

Khan, Masud, Kazuhiro Aoki, Miho Matsuda, et al.. (2019). Bif‐1/Endophilin B1/SH3GLB1 regulates bone homeostasis. Journal of Cellular Biochemistry. 120(11). 18793–18804. 8 indexed citations

Noshiro, Daisuke, Yuki Ikebuchi, Masud Khan, et al.. (2018). The induction of RANKL molecule clustering could stimulate early osteoblast differentiation. Biochemical and Biophysical Research Communications. 509(2). 435–440. 18 indexed citations

Shimizu, Yasuhiro, Masud Khan, Genki Kato, Kazuhiro Aoki, & Takashi Ono. (2018). Occlusal disharmony-induced stress causes osteopenia of the lumbar vertebrae and long bones in mice. Scientific Reports. 8(1). 173–173. 12 indexed citations

10.

Ikebuchi, Yuki, Shigeki Aoki, Masashi Honma, et al.. (2018). Coupling of bone resorption and formation by RANKL reverse signalling. Nature. 561(7722). 195–200. 420 indexed citations breakdown →

11.

Aoki, Kazuhiro, Neil Alles, Masud Khan, et al.. (2015). Nanogel-crosslinked nanoparticles increase the inhibitory effects of W9 synthetic peptide on bone loss in a murine bone resorption model. International Journal of Nanomedicine. 10. 3459–3459. 8 indexed citations

12.

Furuya, Yuriko, Atsushi Inagaki, Masud Khan, et al.. (2013). Stimulation of Bone Formation in Cortical Bone of Mice Treated with a Receptor Activator of Nuclear Factor-κB Ligand (RANKL)-binding Peptide That Possesses Osteoclastogenesis Inhibitory Activity. Journal of Biological Chemistry. 288(8). 5562–5571. 62 indexed citations

13.

Furuta, Hiroyuki, Kenji Osawa, Masashi Shin, et al.. (2012). Selective inhibition of NF‐κB suppresses bone invasion by oral squamous cell carcinoma in vivo. International Journal of Cancer. 131(5). E625–35. 30 indexed citations

14.

Alles, Neil, Niroshani S. Soysa, Juri Hayashi, et al.. (2010). Suppression of NF-κB Increases Bone Formation and Ameliorates Osteopenia in Ovariectomized Mice. Endocrinology. 151(10). 4626–4634. 73 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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