Manhui Pang

742 total citations
25 papers, 606 citations indexed

About

Manhui Pang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Manhui Pang has authored 25 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Surgery. Recurrent topics in Manhui Pang's work include NF-κB Signaling Pathways (5 papers), Bone Metabolism and Diseases (5 papers) and Bone health and treatments (3 papers). Manhui Pang is often cited by papers focused on NF-κB Signaling Pathways (5 papers), Bone Metabolism and Diseases (5 papers) and Bone health and treatments (3 papers). Manhui Pang collaborates with scholars based in United States, Japan and Australia. Manhui Pang's co-authors include Bruce R. Troen, Kenneth L. Seldeen, Wayne Balkan, Isabel Cuesta Fernández, Merced Leiker, Kirkwood E. Personius, Si M. Pham, Maria Alma Rodriguez, Abdelouahab Aı̈touche and Roberto I. Vázquez-Padrón and has published in prestigious journals such as Circulation Research, Biochemical and Biophysical Research Communications and Clinical Orthopaedics and Related Research.

In The Last Decade

Manhui Pang

25 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manhui Pang United States 15 302 158 120 80 74 25 606
Gen Kuroyanagi Japan 14 335 1.1× 62 0.4× 105 0.9× 48 0.6× 155 2.1× 90 695
Takeshi Ueha Japan 15 205 0.7× 118 0.7× 71 0.6× 149 1.9× 141 1.9× 37 663
Sandra Bermeo Australia 12 212 0.7× 169 1.1× 67 0.6× 29 0.4× 42 0.6× 15 496
Joshua R. Huot United States 16 347 1.1× 279 1.8× 99 0.8× 36 0.5× 35 0.5× 37 532
Daniel L. Morganstein United Kingdom 17 330 1.1× 279 1.8× 425 3.5× 60 0.8× 104 1.4× 37 1.1k
Takahisa Tanikawa Japan 12 169 0.6× 118 0.7× 54 0.5× 29 0.4× 73 1.0× 27 646
Serra Ucer United States 6 280 0.9× 49 0.3× 109 0.9× 53 0.7× 38 0.5× 6 446
Azeb Haile United States 10 243 0.8× 98 0.6× 100 0.8× 40 0.5× 43 0.6× 17 555
Daniel Rivas Canada 16 635 2.1× 175 1.1× 271 2.3× 70 0.9× 112 1.5× 26 1.2k
Yangguang Yin China 12 293 1.0× 68 0.4× 67 0.6× 80 1.0× 108 1.5× 20 550

Countries citing papers authored by Manhui Pang

Since Specialization
Citations

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

Fields of papers citing papers by Manhui Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manhui Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Manhui Pang. A scholar is included among the top collaborators of Manhui Pang 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 Manhui Pang. Manhui Pang 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.
Pang, Manhui, et al.. (2019). AP‐1 and Mitf interact with NFATc1 to stimulate cathepsin K promoter activity in osteoclast precursors. Journal of Cellular Biochemistry. 120(8). 12382–12392. 56 indexed citations
2.
Bermeo, Sandra, Ahmed Al Saedi, Christopher Vidal, et al.. (2019). Treatment with an inhibitor of fatty acid synthase attenuates bone loss in ovariectomized mice. Bone. 122. 114–122. 21 indexed citations
3.
Seldeen, Kenneth L., Paul Halley, Claude‐Henry Volmar, et al.. (2017). Neuropeptide Y Y2 antagonist treated ovariectomized mice exhibit greater bone mineral density. Neuropeptides. 67. 45–55. 11 indexed citations
4.
Seldeen, Kenneth L., et al.. (2017). High Intensity Interval Training Improves Physical Performance and Frailty in Aged Mice. The Journals of Gerontology Series A. 73(4). 429–437. 83 indexed citations
5.
Seldeen, Kenneth L., et al.. (2017). A mouse model of vitamin D insufficiency: is there a relationship between 25(OH) vitamin D levels and obesity?. Nutrition & Metabolism. 14(1). 26–26. 33 indexed citations
6.
Yuan, Xue, Randall J. Smith, Ciprian N. Ionita, et al.. (2016). Hybrid Biomaterial with Conjugated Growth Factors and Mesenchymal Stem Cells for Ectopic Bone Formation. Tissue Engineering Part A. 22(13-14). 928–939. 24 indexed citations
7.
Seldeen, Kenneth L., Manhui Pang, & Bruce R. Troen. (2015). Mouse Models of Frailty: an Emerging Field. Current Osteoporosis Reports. 13(5). 280–286. 17 indexed citations
8.
Yu, Ping, et al.. (2014). Pro-angiogenic efficacy of transplanting endothelial progenitor cells for treating hindlimb ischemia in hyperglycemic rabbits. Journal of Diabetes and its Complications. 29(1). 13–19. 10 indexed citations
9.
Balkan, Wayne, et al.. (2011). Retinoic acid inhibits NFATc1 expression and osteoclast differentiation. Journal of Bone and Mineral Metabolism. 29(6). 652–661. 21 indexed citations
10.
Balkan, Wayne, et al.. (2009). Identification of NFAT binding sites that mediate stimulation of cathepsin K promoter activity by RANK ligand. Gene. 446(2). 90–98. 57 indexed citations
11.
Pang, Manhui, et al.. (2007). AP-1 stimulates the cathepsin K promoter in RAW 264.7 cells. Gene. 403(1-2). 151–158. 41 indexed citations
12.
Vázquez-Padrón, Roberto I., David Lasko, Sen Li, et al.. (2004). Aging exacerbates neointimal formation, and increases proliferation and reduces susceptibility to apoptosis of vascular smooth muscle cells in mice. Journal of Vascular Surgery. 40(6). 1199–1207. 60 indexed citations
13.
Schena, Stefano, Yoshihiko Kurimoto, Johji Fukada, et al.. (2004). Effects of ventricular unloading on apoptosis and atrophy of cardiac myocytes1. Journal of Surgical Research. 120(1). 119–126. 20 indexed citations
14.
Pang, Manhui, et al.. (2004). RANK ligand and interferon gamma differentially regulate cathepsin gene expression in pre-osteoclastic cells. Biochemical and Biophysical Research Communications. 328(3). 756–763. 37 indexed citations
15.
Vázquez-Padrón, Roberto I., Si M. Pham, Manhui Pang, Sen Li, & Abdelouahab Aı̈touche. (2003). Molecular dissection of mouse soluble guanylyl cyclase α1 promoter. Biochemical and Biophysical Research Communications. 314(1). 208–214. 12 indexed citations
16.
Fukada, Junichi, Stefano Schena, Ivan Tack, et al.. (2001). Nitric oxide donor FK409 attenuates the development of neointimal hyperplasia in a rat aortic allograft model. Transplantation Proceedings. 33(1-2). 536–537. 2 indexed citations
17.
Li, Sen, et al.. (2001). A clinically relevant CTLA4-Ig-based regimen induces chimerism and tolerance to heart grafts. The Annals of Thoracic Surgery. 72(4). 1306–1310. 9 indexed citations
18.
19.
Fukada, Johji, Stefano Schena, Ivan Tack, et al.. (2000). FK409, a Spontaneous Nitric Oxide Releaser, Attenuates Allograft Vasculopathy in a Rat Aortic Transplant Model. Circulation Research. 87(1). 66–72. 8 indexed citations
20.
Low, C. K., et al.. (1996). Comparison of Various Interpositional Materials in the Prevention of Transphyseal Bone Bridge Formation. Clinical Orthopaedics and Related Research. 325(325). 218–224. 23 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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