Fangfang Qiao

621 total citations
24 papers, 420 citations indexed

About

Fangfang Qiao is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Fangfang Qiao has authored 24 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Fangfang Qiao's work include Ubiquitin and proteasome pathways (4 papers), Mitochondrial Function and Pathology (2 papers) and Muscle Physiology and Disorders (2 papers). Fangfang Qiao is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Mitochondrial Function and Pathology (2 papers) and Muscle Physiology and Disorders (2 papers). Fangfang Qiao collaborates with scholars based in United States, China and Hong Kong. Fangfang Qiao's co-authors include Hongmin Wang, Yanying Liu, Guobin Liu, Dengfeng Tuo, Zheng Zhang, Qiang Li, Eduardo Callegari, Jia‐Wei Min, Peggy S. Zelenka and Evelyn H. Schlenker and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Journal of Applied Physiology.

In The Last Decade

Fangfang Qiao

22 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangfang Qiao United States 12 228 70 63 51 51 24 420
Jing Luan China 15 231 1.0× 64 0.9× 5 0.1× 115 2.3× 42 0.8× 40 819
Zhongyuan Wang China 11 210 0.9× 22 0.3× 18 0.3× 38 0.7× 19 0.4× 31 517
Carolyn J. Lowry United States 9 373 1.6× 24 0.3× 57 0.9× 34 0.7× 30 0.6× 21 569
Qing Wen China 19 446 2.0× 58 0.8× 12 0.2× 29 0.6× 41 0.8× 41 918
Satoshi Nakamura Japan 11 191 0.8× 21 0.3× 45 0.7× 9 0.2× 47 0.9× 51 409
Steven J. Powell United Kingdom 13 525 2.3× 66 0.9× 18 0.3× 44 0.9× 65 1.3× 17 836
Zhongcui Sun China 12 227 1.0× 23 0.3× 26 0.4× 8 0.2× 28 0.5× 34 501
Erik Södersten Sweden 13 472 2.1× 64 0.9× 9 0.1× 33 0.6× 24 0.5× 19 824
Dietmar Schröder Germany 8 350 1.5× 27 0.4× 26 0.4× 53 1.0× 46 0.9× 17 580

Countries citing papers authored by Fangfang Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Qiao. A scholar is included among the top collaborators of Fangfang Qiao 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 Fangfang Qiao. Fangfang Qiao 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.
Zhang, Jinfeng, Fangfang Qiao, & Weihao Ma. (2024). Data-Driven Analysis and Path Optimization Model for Fuel Consumption of Sail-Assisted Ships. 347–350.
2.
Li, Xibao, Xinyi Lin, Zhanbiao Li, et al.. (2024). The plant retromer components SNXs bind to ATG8 and CLASP to mediate autophagosome movement along microtubules. Molecular Plant. 18(3). 416–436. 2 indexed citations
3.
4.
Jia, Zhenshan, Kirk Foster, Xin Wei, et al.. (2020). Dexamethasone prodrug nanomedicine (ZSJ-0228) treatment significantly reduces lupus nephritis in mice without measurable side effects — A 5-month study. Nanomedicine Nanotechnology Biology and Medicine. 31. 102302–102302. 11 indexed citations
5.
Law, Henry C.-H., Fangfang Qiao, Diane Costanzo-Garvey, et al.. (2019). The Proteomic Landscape of Pancreatic Ductal Adenocarcinoma Liver Metastases Identifies Molecular Subtypes and Associations with Clinical Response. Clinical Cancer Research. 26(5). 1065–1076. 44 indexed citations
6.
Law, Henry C.-H., Fangfang Qiao, Andjela Drincic, et al.. (2019). Delineating the role of FANCA in glucose-stimulated insulin secretion in β cells through its protein interactome. PLoS ONE. 14(8). e0220568–e0220568. 5 indexed citations
7.
Liu, Yanying, Jia‐Wei Min, Kalpana Subedi, et al.. (2019). Therapeutic Role of a Cysteine Precursor, OTC, in Ischemic Stroke Is Mediated by Improved Proteostasis in Mice. Translational Stroke Research. 11(1). 147–160. 41 indexed citations
8.
Wang, Yuhong, et al.. (2018). Reduced expression of the lncRNA NRON is a potential hallmark of the CMV-amplified CD8+ T cell accumulations commonly seen in older humans. Experimental Gerontology. 115. 46–54. 8 indexed citations
9.
Qiao, Fangfang, et al.. (2017). Overexpression of Ubiquilin-1 Alleviates Alzheimer’s Disease-Caused Cognitive and Motor Deficits and Reduces Amyloid-β Accumulation in Mice. Journal of Alzheimer s Disease. 59(2). 575–590. 24 indexed citations
10.
Min, Jia‐Wei, Yanying Liu, David Wang, Fangfang Qiao, & Hongmin Wang. (2017). The non‐peptidic δ‐opioid receptor agonist Tan‐67 mediates neuroprotection post‐ischemically and is associated with altered amyloid precursor protein expression, maturation and processing in mice. Journal of Neurochemistry. 144(3). 336–347. 11 indexed citations
11.
12.
Qiao, Fangfang, et al.. (2017). Reduced body weight gain in ubiquilin-1 transgenic mice is associated with increased expression of energy-sensing proteins. Physiological Reports. 5(8). e13260–e13260. 8 indexed citations
13.
Liu, Yanying, Fangfang Qiao, & Hongmin Wang. (2016). Enhanced Proteostasis in Post-ischemic Stroke Mouse Brains by Ubiquilin-1 Promotes Functional Recovery. Cellular and Molecular Neurobiology. 37(7). 1325–1329. 15 indexed citations
14.
Qiao, Fangfang, et al.. (2015). Dysregulation and Diagnostic Potential of microRNA in Alzheimer’s Disease. Journal of Alzheimer s Disease. 49(1). 1–12. 35 indexed citations
15.
Wang, Yuhong, Jingyu Zhang, Fangfang Qiao, et al.. (2012). Correlation between T lymphocyte subsets in peripheral blood lymphocytes and 2-year all-cause mortality in an apparently healthy elderly Chinese cohort.. PubMed. 125(6). 1121–6. 3 indexed citations
16.
Wang, Yuhong, Yuping Jiang, Shanshun Luo, Fangfang Qiao, & Hui Han. (2012). Multilevel model estimation of age-dependent individual-specific trajectories for left ventricular echocardiographic indexes in an asymptomatic elderly cohort. Journal of Applied Physiology. 112(7). 1128–1134. 2 indexed citations
17.
Dong, Gaofeng, Fangfang Qiao, Eduardo Callegari, et al.. (2012). Calretinin interacts with huntingtin and reduces mutant huntingtin‐caused cytotoxicity. Journal of Neurochemistry. 123(3). 437–446. 18 indexed citations
18.
Pan, Quan, et al.. (2011). Cdk5 targets active Src for ubiquitin-dependent degradation by phosphorylating Src(S75). Cellular and Molecular Life Sciences. 68(20). 3425–3436. 34 indexed citations
19.
Liu, Fan, Fangfang Qiao, Man-Li Tong, et al.. (2011). Further evaluation of a novel nano‐scale gene vector for in vivo transfection of siRNA. Journal of Cellular Biochemistry. 112(5). 1329–1336. 2 indexed citations
20.
Qiao, Fangfang, et al.. (2001). Human lens thioltransferase: cloning, purification, and function.. PubMed. 42(3). 743–51. 27 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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