Fangfang Wang

815 total citations
30 papers, 613 citations indexed

About

Fangfang Wang is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Fangfang Wang has authored 30 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 12 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Fangfang Wang's work include Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (6 papers) and Acute Myeloid Leukemia Research (5 papers). Fangfang Wang is often cited by papers focused on Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (6 papers) and Acute Myeloid Leukemia Research (5 papers). Fangfang Wang collaborates with scholars based in China, United States and Czechia. Fangfang Wang's co-authors include Bingyang Chu, Zhiyong Qian, Danrong Hu, Ying Qu, Xinlong He, Ting Liu, Chengli Yang, Ying Hao, Yun Yang and Xiawei Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Biochemical Journal.

In The Last Decade

Fangfang Wang

29 papers receiving 609 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 Wang China 12 284 221 155 144 120 30 613
Lan Sun China 15 227 0.8× 131 0.6× 106 0.7× 72 0.5× 88 0.7× 32 611
Chunlei Dai China 14 142 0.5× 113 0.5× 114 0.7× 66 0.5× 39 0.3× 34 457
Pierre‐Alain Burnouf Taiwan 12 456 1.6× 173 0.8× 221 1.4× 35 0.2× 94 0.8× 15 738
Derek Reichel United States 10 208 0.7× 205 0.9× 180 1.2× 48 0.3× 45 0.4× 18 508
Chao Jian China 11 268 0.9× 224 1.0× 121 0.8× 24 0.2× 125 1.0× 15 662
Xupeng Mu China 15 378 1.3× 309 1.4× 225 1.5× 25 0.2× 62 0.5× 37 694
Feifei Yang China 16 282 1.0× 239 1.1× 215 1.4× 128 0.9× 62 0.5× 32 837
Huaqin Zuo China 9 192 0.7× 280 1.3× 152 1.0× 52 0.4× 54 0.5× 14 481
María Julia Martín Argentina 12 158 0.6× 102 0.5× 132 0.9× 33 0.2× 37 0.3× 28 506

Countries citing papers authored by Fangfang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Wang. A scholar is included among the top collaborators of Fangfang Wang 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 Wang. Fangfang Wang 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.
Wang, Fangfang, et al.. (2025). Designing a cultivation model for top-notch students in basic medicine: a Delphi method. BMC Medical Education. 25(1). 802–802. 1 indexed citations
2.
Gong, Hui, Tingting Zhao, Honghan Chen, et al.. (2024). AMPK‐upregulated microRNA‐708 plays as a suppressor of cellular senescence and aging via downregulating disabled‐2 and mTORC1 activation. SHILAP Revista de lepidopterología. 5(3). e475–e475. 4 indexed citations
3.
Wang, Fangfang, Xinyu Zhai, Tingting Guo, Hengyi Xiao, & Jingcao Huang. (2024). Effective Detection of Hoechst Side Population Cells by Flow Cytometry. Journal of Visualized Experiments. 1 indexed citations
4.
Gao, Yuhan, Jingcao Huang, Zhuang Yang, et al.. (2022). ISG20L2 suppresses bortezomib antimyeloma activity by attenuating bortezomib binding to PSMB5. JCI Insight. 7(19). 6 indexed citations
5.
Qu, Ying, Bingyang Chu, Kun Shi, et al.. (2022). Subcutaneous injection of a bortezomib-loaded thermosensitive hydrogel for the treatment of multiple myeloma. Chemical Engineering Journal. 455. 140600–140600. 10 indexed citations
6.
Dai, Yang, Jingcao Huang, Yiguo Hu, et al.. (2022). Dasatinib and interferon alpha synergistically induce pyroptosis-like cell death in philadelphia chromosome positive acute lymphoblastic leukemia.. PubMed. 12(6). 2817–2832. 4 indexed citations
7.
Guo, Yong, Fangfang Wang, Bing Xiang, Hongbing Ma, & Yuping Gong. (2021). Tanshinone IIA potentiates the efficacy of imatinib by regulating the AKT‑MDM2‑P53 signaling pathway in Philadelphia chromosome‑positive acute lymphoblastic leukemia. Oncology Letters. 23(1). 7–7. 1 indexed citations
8.
Ding, Hong, Juan Xu, Jingcao Huang, et al.. (2021). Minimal residual disease in multiple myeloma: current status. Biomarker Research. 9(1). 75–75. 15 indexed citations
9.
Wang, Fangfang, Jingcao Huang, Tingting Guo, et al.. (2021). Homoharringtonine synergizes with quizartinib in FLT3-ITD acute myeloid leukemia by targeting FLT3-AKT-c-Myc pathway. Biochemical Pharmacology. 188. 114538–114538. 14 indexed citations
10.
11.
Qu, Ying, Bingyang Chu, Xiawei Wei, et al.. (2019). Redox/pH dual-stimuli responsive camptothecin prodrug nanogels for “on-demand” drug delivery. Journal of Controlled Release. 296. 93–106. 140 indexed citations
12.
Zhang, Wanting, et al.. (2019). Research on the Influence of Smartphone Navigation on Driving Behavior Based on Real Vehicle Driving. Mobile Information Systems. 2019. 1–10. 8 indexed citations
13.
Wang, Fangfang, Jun Ni, Lei Wu, et al.. (2019). Gender disparity in the survival of patients with primary myelodysplastic syndrome. Journal of Cancer. 10(5). 1325–1332. 16 indexed citations
14.
Chen, Qiang, Fangfang Wang, Qiuyang Li, et al.. (2018). Hypoxia with Wharton’s jelly mesenchymal stem cell coculture maintains stemness of umbilical cord blood-derived CD34+ cells. Stem Cell Research & Therapy. 9(1). 158–158. 34 indexed citations
15.
Huang, Jingcao, Wenyan Zhang, Ling Pan, et al.. (2018). Young female patients with multiple myeloma have low occurrence of osteolytic lesion. Bone. 110. 21–28. 9 indexed citations
16.
Zhang, Bing, Ling Ni, Fangfang Wang, et al.. (2017). Effective doctor-patient communication skills training optimizesfunctional organization of intrinsic brain architecture: a restingstate functional MRI study. Journal of Biomedical Research. 31(6). 486–486. 1 indexed citations
17.
Gan, Jing, Fangfang Wang, & Qianyun Cai. (2016). New research status of childhood epilepsy in China: co-word analysis based on domestic researches. Zhonghua shiyong erke linchuang zazhi. 31(1). 67–70.
18.
Wang, Qiu, et al.. (2016). [Correlation Between Gross Motor Function and Risk Factors in Children with Cerebral Palsy:an Epidemiology Study in Chengdu].. PubMed. 47(5). 772–776. 1 indexed citations
19.
Luo, Hongmei, Yu Qin, Frederic J. Reu, et al.. (2016). Microarray-based analysis and clinical validation identify ubiquitin-conjugating enzyme E2E1 (UBE2E1) as a prognostic factor in acute myeloid leukemia. Journal of Hematology & Oncology. 9(1). 125–125. 17 indexed citations
20.
Wang, Fangfang, Hongyan Zhu, Jingjing Li, et al.. (2015). Metformin synergistically sensitizes FLT3-ITD-positive acute myeloid leukemia to sorafenib by promoting mTOR-mediated apoptosis and autophagy. Leukemia Research. 39(12). 1421–1427. 38 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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