Fangping Dai

2.1k total citations
29 papers, 1.3k citations indexed

About

Fangping Dai is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Fangping Dai has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Genetics. Recurrent topics in Fangping Dai's work include RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Muscle Physiology and Disorders (3 papers). Fangping Dai is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Muscle Physiology and Disorders (3 papers). Fangping Dai collaborates with scholars based in Germany, China and United States. Fangping Dai's co-authors include Angelika M. Burger, Anthony P. Reszka, Stephen Neidle, Michael J. Moore, Christoph Schultes, John A. Double, Beate Brand‐Saberi, Yusuf Faisal, Victoria Smith and Pornima Phatak and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Fangping Dai

29 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangping Dai Germany 20 1.1k 166 127 113 77 29 1.3k
Maxim Poustovoitov United States 7 749 0.7× 243 1.5× 77 0.6× 131 1.2× 57 0.7× 9 941
Qing‐Shuo Zhang United States 11 656 0.6× 91 0.5× 96 0.8× 109 1.0× 76 1.0× 20 804
Daniela Kleine‐Kohlbrecher Denmark 8 1.1k 1.0× 188 1.1× 167 1.3× 175 1.5× 135 1.8× 20 1.3k
Dina A. Faddah United States 9 1.9k 1.7× 155 0.9× 113 0.9× 94 0.8× 180 2.3× 12 2.0k
Stuart P. Atkinson Spain 20 1.4k 1.2× 267 1.6× 175 1.4× 167 1.5× 136 1.8× 38 1.7k
Kanae Mitsunaga Japan 13 746 0.7× 48 0.3× 84 0.7× 108 1.0× 106 1.4× 16 908
Fan Zhou China 14 834 0.7× 67 0.4× 175 1.4× 64 0.6× 92 1.2× 47 1.0k
Shoudong Ye China 16 919 0.8× 51 0.3× 138 1.1× 90 0.8× 90 1.2× 42 1.1k
Anuradha Poonepalli Singapore 14 501 0.4× 94 0.6× 102 0.8× 152 1.3× 68 0.9× 18 687
Alper Yetil United States 5 951 0.8× 145 0.9× 208 1.6× 322 2.8× 59 0.8× 5 1.2k

Countries citing papers authored by Fangping Dai

Since Specialization
Citations

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

Fields of papers citing papers by Fangping Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangping Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Fangping Dai. A scholar is included among the top collaborators of Fangping Dai 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 Fangping Dai. Fangping Dai 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, Weiwei, Xin Jiang, X. D. Shi, et al.. (2022). RNAi Degrades Spike Protein Gene Transcripts of the SARS-CoV-2 for Developing Drugs to Treat of COVID-19. Nano Biomedicine and Engineering. 14(2). 1 indexed citations
2.
Liu, Min, Zhiqiang Han, Guangxu Cao, et al.. (2022). Long-read sequencing reveals oncogenic mechanism of HPV-human fusion transcripts in cervical cancer. Translational research. 253. 80–94. 19 indexed citations
3.
Fedele, Vita, Fangping Dai, Dieter Henrik Heiland, et al.. (2017). Epigenetic Regulation of ZBTB18 Promotes Glioblastoma Progression. Molecular Cancer Research. 15(8). 998–1011. 30 indexed citations
4.
Ferrarese, Roberto, Eva Kling, Nanda K. Thudi, et al.. (2017). KLF6 depletion promotes NF-κB signaling in glioblastoma. Oncogene. 36(25). 3562–3575. 29 indexed citations
5.
Kling, Teresia, Roberto Ferrarese, Patrik Johansson, et al.. (2016). Integrative Modeling Reveals Annexin A2-mediated Epigenetic Control of Mesenchymal Glioblastoma. EBioMedicine. 12. 72–85. 24 indexed citations
6.
Cui, Daxiang, Chunlei Zhang, Bing Liu, et al.. (2015). Regression of Gastric Cancer by Systemic Injection of RNA Nanoparticles Carrying both Ligand and siRNA. Scientific Reports. 5(1). 10726–10726. 96 indexed citations
7.
Moroşan‐Puopolo, Gabriela, Yusuf Faisal, Fangping Dai, et al.. (2014). Wnt11 Is Required for Oriented Migration of Dermogenic Progenitor Cells from the Dorsomedial Lip of the Avian Dermomyotome. PLoS ONE. 9(3). e92679–e92679. 14 indexed citations
8.
Moroşan‐Puopolo, Gabriela, Yusuf Faisal, Georg Zoidl, et al.. (2013). ATOH8, a regulator of skeletal myogenesis in the hypaxial myotome of the trunk. Histochemistry and Cell Biology. 141(3). 289–300. 19 indexed citations
9.
Dai, Fangping, Florian Leese, W. Schempp, et al.. (2011). Diversification and Molecular Evolution of ATOH8, a Gene Encoding a bHLH Transcription Factor. PLoS ONE. 6(8). e23005–e23005. 22 indexed citations
10.
Hausott, Barbara, Natalie Vallant, Bettina Schlick, et al.. (2011). Sprouty2 and ‐4 regulate axon outgrowth by hippocampal neurons. Hippocampus. 22(3). 434–441. 21 indexed citations
11.
Moroşan‐Puopolo, Gabriela, et al.. (2010). Molecular cloning of chicken Cecr2 and its expression during chicken embryo development. The International Journal of Developmental Biology. 54(5). 925–929. 6 indexed citations
12.
Dai, Fangping, et al.. (2009). Vestigial-like 2 acts downstream of MyoD activation and is associated with skeletal muscle differentiation in chick myogenesis. Mechanisms of Development. 127(1-2). 120–136. 24 indexed citations
13.
Zhao, Wanghong, Fangping Dai, Stefan Schäfer, et al.. (2009). Histone Deacetylase Inhibitor, Trichostatin A, Affects Gene Expression Patterns during Morphogenesis of Chicken Limb Buds in vivo. Cells Tissues Organs. 190(3). 121–134. 8 indexed citations
14.
Phatak, Pornima, Fangping Dai, Peter L. Gutiérrez, et al.. (2008). KML001 Cytotoxic Activity Is Associated with Its Binding to Telomeric Sequences and Telomere Erosion in Prostate Cancer Cells. Clinical Cancer Research. 14(14). 4593–4602. 38 indexed citations
15.
Rehimi, Rizwan, et al.. (2007). Stromal-derived factor-1 (SDF-1) expression during early chick development. The International Journal of Developmental Biology. 52(1). 87–92. 33 indexed citations
16.
Dai, Fangping, Felicitas Pröls, Uwe‐Peter Ketelsen, et al.. (2006). Myogenin (Myf4) upregulation in trans-differentiating fibroblasts from a congenital myopathy with arrest of myogenesis and defects of myotube formation. Anatomy and Embryology. 211(6). 639–648. 8 indexed citations
17.
Faisal, Yusuf, Rizwan Rehimi, Gabriela Moroşan‐Puopolo, et al.. (2006). Inhibitors of CXCR4 affect the migration and fate of CXCR4+ progenitors in the developing limb of chick embryos. Developmental Dynamics. 235(11). 3007–3015. 36 indexed citations
18.
19.
Faisal, Yusuf, Rizwan Rehimi, Fangping Dai, & Beate Brand‐Saberi. (2005). Expression of chemokine receptor CXCR4 during chick embryo development. Anatomy and Embryology. 210(1). 35–41. 41 indexed citations
20.
Wei, Duo, et al.. (1997). Expression of endogenous transforming growth factor‐β and its type I and type II receptors in rat burn wounds. Wound Repair and Regeneration. 5(3). 229–234. 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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