Chun-Ya Han

1.7k total citations
20 papers, 1.1k citations indexed

About

Chun-Ya Han is a scholar working on Molecular Biology, Oncology and Orthopedics and Sports Medicine. According to data from OpenAlex, Chun-Ya Han has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Orthopedics and Sports Medicine. Recurrent topics in Chun-Ya Han's work include Bone Metabolism and Diseases (8 papers), Bone health and osteoporosis research (7 papers) and Bone health and treatments (5 papers). Chun-Ya Han is often cited by papers focused on Bone Metabolism and Diseases (8 papers), Bone health and osteoporosis research (7 papers) and Bone health and treatments (5 papers). Chun-Ya Han collaborates with scholars based in United States, Germany and Hong Kong. Chun-Ya Han's co-authors include Henry J. Lin, Bruce K. Lin, Marina Stolina, Michael S. Ominsky, Steven Hardy, Denise Dwyer, Frank Asuncion, Xiaodong Li, Hua Zhu Ke and Paul J. Kostenuik and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Chun-Ya Han

20 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun-Ya Han United States 15 759 359 289 183 126 20 1.1k
Ann Van Campenhout Belgium 11 282 0.4× 116 0.3× 91 0.3× 60 0.3× 52 0.4× 14 680
Ann Janssens Belgium 20 332 0.4× 322 0.9× 55 0.2× 43 0.2× 56 0.4× 100 1.5k
Ying Xie China 16 492 0.6× 129 0.4× 63 0.2× 43 0.2× 157 1.2× 50 805
Jingyuan Wang China 10 197 0.3× 158 0.4× 130 0.4× 28 0.2× 45 0.4× 36 626
D.A.K. Black United Kingdom 10 130 0.2× 140 0.4× 111 0.4× 45 0.2× 94 0.7× 18 547
Yelena Ginzburg United States 22 388 0.5× 73 0.2× 40 0.1× 53 0.3× 86 0.7× 84 2.4k
Yuebai Li China 18 588 0.8× 316 0.9× 238 0.8× 267 1.5× 381 3.0× 33 1.1k
Dmitri V. Gnatenko United States 18 535 0.7× 172 0.5× 17 0.1× 138 0.8× 225 1.8× 36 1.4k

Countries citing papers authored by Chun-Ya Han

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Ya Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Ya Han. 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 Chun-Ya Han. The network helps show where Chun-Ya Han may publish in the future.

Co-authorship network of co-authors of Chun-Ya Han

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Ya Han. A scholar is included among the top collaborators of Chun-Ya Han 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 Chun-Ya Han. Chun-Ya Han 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.
Luo, Xin, Jun Yin, Denise Dwyer, et al.. (2021). Chamber-enriched gene expression profiles in failing human hearts with reduced ejection fraction. Scientific Reports. 11(1). 11839–11839. 14 indexed citations
2.
Stolina, Marina, Xin Luo, Denise Dwyer, et al.. (2020). The evolving systemic biomarker milieu in obese ZSF1 rat model of human cardiometabolic syndrome: Characterization of the model and cardioprotective effect of GDF15. PLoS ONE. 15(8). e0231234–e0231234. 13 indexed citations
3.
Tomlinson, James, Shawn T. Alexander, Kelly Hensley, et al.. (2017). Etelcalcetide, A Novel Calcimimetic, Prevents Vascular Calcification in A Rat Model of Renal Insufficiency with Secondary Hyperparathyroidism. Calcified Tissue International. 101(6). 641–653. 37 indexed citations
4.
5.
Li, Xiaodong, Shanaka Stanislaus, Frank Asuncion, et al.. (2016). FGF21 Is Not a Major Mediator for Bone Homeostasis or Metabolic Actions of PPARα and PPARγ Agonists. Journal of Bone and Mineral Research. 32(4). 834–845. 49 indexed citations
6.
Martin, Anthony R., Theodora Koromila, Stephanie W. Chang, et al.. (2015). Estrogens antagonize RUNX2-mediated osteoblast-driven osteoclastogenesis through regulating RANKL membrane association. Bone. 75. 96–104. 39 indexed citations
7.
Stolina, Marina, Denise Dwyer, Qing‐Tian Niu, et al.. (2014). Temporal changes in systemic and local expression of bone turnover markers during six months of sclerostin antibody administration to ovariectomized rats. Bone. 67. 305–313. 74 indexed citations
8.
Li, Xiaodong, Qing‐Tian Niu, Kelly Warmington, et al.. (2014). Progressive Increases in Bone Mass and Bone Strength in an Ovariectomized Rat Model of Osteoporosis After 26 Weeks of Treatment With a Sclerostin Antibody. Endocrinology. 155(12). 4785–4797. 59 indexed citations
9.
Rinotas, Vagelis, Romain Dacquin, Nicolas Bonnet, et al.. (2013). Novel Genetic Models of Osteoporosis by Overexpression of Human RANKL in Transgenic Mice. Journal of Bone and Mineral Research. 29(5). 1158–1169. 63 indexed citations
10.
Hamann, Christine, Martina Rauner, Ricardo Bernhardt, et al.. (2012). Sclerostin antibody treatment improves bone mass, bone strength, and bone defect regeneration in rats with type 2 diabetes mellitus. Journal of Bone and Mineral Research. 28(3). 627–638. 103 indexed citations
11.
12.
Ominsky, Michael S., Chaoyang Li, Xiaodong Li, et al.. (2010). Inhibition of sclerostin by monoclonal antibody enhances bone healing and improves bone density and strength of nonfractured bones. Journal of Bone and Mineral Research. 26(5). 1012–1021. 209 indexed citations
13.
Han, Chun-Ya, Youping Wang, David Powers, et al.. (2009). Small molecules with potent osteogenic-inducing activity in osteoblast cells. Bioorganic & Medicinal Chemistry Letters. 19(5). 1442–1445. 25 indexed citations
14.
Babij, Philip, Martine P. Roudier, Chun-Ya Han, et al.. (2009). New Variants in the Enpp1 and Ptpn6 Genes Cause Low BMD, Crystal-Related Arthropathy, and Vascular Calcification. Journal of Bone and Mineral Research. 24(9). 1552–1564. 35 indexed citations
15.
Allen, John G., Matthew R. Lee, Chun-Ya Han, et al.. (2009). Identification of small molecule inhibitors of proline-rich tyrosine kinase 2 (Pyk2) with osteogenic activity in osteoblast cells. Bioorganic & Medicinal Chemistry Letters. 19(17). 4924–4928. 10 indexed citations
16.
Lin, Henry J., Nicole Probst‐Hensch, Sue A. Ingles, et al.. (1995). Glutathione transferase (GSTM1) null genotype, smoking, and prevalence of colorectal adenomas.. PubMed. 55(6). 1224–6. 42 indexed citations
17.
Lin, Henry J., Chun-Ya Han, Bruce K. Lin, & Steven Hardy. (1994). Ethnic distribution of slow acetylator mutations in the polymorphic N-acetyltransferase (NAT2) gene. Pharmacogenetics. 4(3). 125–134. 136 indexed citations
18.
19.
Han, Chun-Ya, Bruce K. Lin, & Henry J. Lin. (1992). Methanol for preparing hair bulbs for PCR. Nucleic Acids Research. 20(23). 6419–6420. 6 indexed citations
20.
Lin, Henry J., Chun-Ya Han, & AW Nienhuis. (1992). Functional profile of the human fetal gamma-globin gene upstream promoter region.. PubMed. 51(2). 363–70. 9 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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