Qing Yang

4.9k total citations
154 papers, 2.7k citations indexed

About

Qing Yang is a scholar working on Molecular Biology, Immunology and General Health Professions. According to data from OpenAlex, Qing Yang has authored 154 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Immunology and 21 papers in General Health Professions. Recurrent topics in Qing Yang's work include Mobile Health and mHealth Applications (12 papers), Maternal Mental Health During Pregnancy and Postpartum (8 papers) and Health disparities and outcomes (8 papers). Qing Yang is often cited by papers focused on Mobile Health and mHealth Applications (12 papers), Maternal Mental Health During Pregnancy and Postpartum (8 papers) and Health disparities and outcomes (8 papers). Qing Yang collaborates with scholars based in United States, China and Russia. Qing Yang's co-authors include Hong‐Bing Shu, Ming‐Ming Hu, Heng Lin, Lei Yin, Xueqin Xie, Tiantian Liu, Mahmoud Kaddoura, Bo Lan, Jing Huang and Hongnan Mo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.

In The Last Decade

Qing Yang

137 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Yang United States 28 708 618 494 310 270 154 2.7k
Carol Hitchon Canada 38 613 0.9× 923 1.5× 342 0.7× 579 1.9× 129 0.5× 198 5.1k
Miho Suzuki Japan 26 427 0.6× 364 0.6× 332 0.7× 395 1.3× 218 0.8× 93 2.5k
Sreeram V Ramagopalan United Kingdom 34 715 1.0× 1.2k 1.9× 559 1.1× 553 1.8× 144 0.5× 161 5.5k
Ruth Dobson United Kingdom 36 843 1.2× 863 1.4× 617 1.2× 667 2.2× 120 0.4× 164 5.8k
Guangyu Zhang China 29 938 1.3× 344 0.6× 434 0.9× 422 1.4× 262 1.0× 100 3.1k
Monica Hultcrantz Sweden 22 878 1.2× 211 0.3× 890 1.8× 291 0.9× 297 1.1× 42 3.6k
Rong Chen China 27 828 1.2× 246 0.4× 254 0.5× 236 0.8× 213 0.8× 226 3.0k
Juulia Jylhävä Finland 33 1.5k 2.2× 443 0.7× 244 0.5× 392 1.3× 170 0.6× 120 4.2k
Qian Wang China 27 742 1.0× 172 0.3× 352 0.7× 351 1.1× 195 0.7× 229 2.9k
Yu‐Ching Chou Taiwan 34 1.1k 1.5× 213 0.3× 415 0.8× 547 1.8× 244 0.9× 225 4.1k

Countries citing papers authored by Qing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Yang. A scholar is included among the top collaborators of Qing Yang 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 Qing Yang. Qing Yang 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.
Hu, Ke, Chao Xu, Qing Yang, et al.. (2024). An acid-activatable fluorouracil prodrug for colorectal cancer synergistic therapy. Acta Biomaterialia. 185. 350–360. 3 indexed citations
2.
3.
Mulawa, Marta I., Sharron L. Docherty, Donald E. Bailey, et al.. (2024). A Hybrid Pragmatic and Factorial Cluster Randomized Controlled Trial for an Anti-racist, Multilevel Intervention to Improve Mental Health Equity in High Schools. Prevention Science. 25(S3). 486–496.
4.
Lee, Chi‐Young, Mary A. Whooley, Qing Yang, & Daniel P. Moriarity. (2024). How is inflammation biology truly associated with depression in patients with stable coronary heart disease?: Insights from the heart and Soul study. Brain Behavior & Immunity - Health. 37. 100747–100747. 2 indexed citations
5.
Butler, William, Lingfan Xu, Yinglu Zhou, et al.. (2023). Oncofetal protein glypican‐3 is a biomarker and critical regulator of function for neuroendocrine cells in prostate cancer. The Journal of Pathology. 260(1). 43–55. 10 indexed citations
6.
Lee, Chi‐Young, et al.. (2023). Transitions in Social Networks From Young-Old to Old-Old Stage of Life Using Latent Transition Analysis. Journal of Aging and Health. 36(1-2). 110–119. 1 indexed citations
7.
8.
Butler, William, Qing Yang, Yiping He, et al.. (2023). Rewiring of the N-Glycome with prostate cancer progression and therapy resistance. npj Precision Oncology. 7(1). 22–22. 14 indexed citations
9.
Docherty, Sharron L., et al.. (2022). Health Behavior Profiles Among Midlife Women: Identifying At-Risk Subgroups for Metabolic Syndrome Using Latent Class Analysis. Annals of Behavioral Medicine. 56(9). 946–958. 12 indexed citations
10.
Yang, Qing, Amy Zhao, Chi‐Young Lee, et al.. (2022). Latent Profile/Class Analysis Identifying Differentiated Intervention Effects. Nursing Research. 71(5). 394–403. 15 indexed citations
11.
Yang, Qing, et al.. (2022). Symptom Clusters and Key Symptoms Among Midlife Perimenopausal and Postmenopausal Women With and Without Metabolic Syndrome. Nursing Research. 71(4). E28–E38. 10 indexed citations
12.
Wolever, Ruth Q., Qing Yang, Carlos J Maldonado, et al.. (2022). Health coaching and genetic risk testing in primary care: Randomized controlled trial.. Health Psychology. 41(10). 719–732. 1 indexed citations
13.
González‐Guarda, Rosa M., et al.. (2021). Socio‐ecological perspective on factors influencing acute recovery of younger stroke survivors: A mixed methods study. Journal of Advanced Nursing. 77(6). 2860–2874. 12 indexed citations
14.
Lee, Chi‐Young, Qing Yang, Eun‐Ok Im, et al.. (2021). The Contribution of Material, Behavioral, Psychological, and Social-Relational Factors to Income-Related Disparities in Cardiovascular Risk Among Older Adults. The Journal of Cardiovascular Nursing. 36(4). E38–E50. 1 indexed citations
15.
Lee, Chi‐Young, Qing Yang, Eun‐Ok Im, et al.. (2020). A 10-year trend in income disparity of cardiovascular health among older adults in South Korea. SSM - Population Health. 12. 100682–100682. 4 indexed citations
16.
Wang, Jing, Qing Yang, & Bei Wu. (2020). Effects of Care Arrangement on the Age of Institutionalization among Community-dwelling Chinese Older Adults. Journal of Aging & Social Policy. 35(5). 595–610. 13 indexed citations
17.
Yang, Qing, Chuandong Lang, Zhengquan Wu, et al.. (2019). MAZ promotes prostate cancer bone metastasis through transcriptionally activating the KRas-dependent RalGEFs pathway. Journal of Experimental & Clinical Cancer Research. 38(1). 391–391. 54 indexed citations
18.
Huang, Jing, Binghe Xu, Hongnan Mo, et al.. (2018). Safety, Activity, and Biomarkers of SHR-1210, an Anti-PD-1 Antibody, for Patients with Advanced Esophageal Carcinoma. Clinical Cancer Research. 24(6). 1296–1304. 149 indexed citations
19.
Zhang, Yan, Yongyue Wei, Bin Jiang, et al.. (2017). Scavenger Receptor A1 Prevents Metastasis of Non–Small Cell Lung Cancer via Suppression of Macrophage Serum Amyloid A1. Cancer Research. 77(7). 1586–1598. 13 indexed citations
20.
Yang, Qing, et al.. (2017). Association of methylation and expression of IL-4 and IFN-γ in peripheral blood of asthmatic patients. Biomedical Research-tokyo. 28(14). 6303–6307. 2 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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