Yaping Chen

4.9k total citations
98 papers, 2.9k citations indexed

About

Yaping Chen is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Yaping Chen has authored 98 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 30 papers in Immunology and 19 papers in Biomedical Engineering. Recurrent topics in Yaping Chen's work include Immune Response and Inflammation (20 papers), Immune Cell Function and Interaction (14 papers) and Neuroscience and Neural Engineering (8 papers). Yaping Chen is often cited by papers focused on Immune Response and Inflammation (20 papers), Immune Cell Function and Interaction (14 papers) and Neuroscience and Neural Engineering (8 papers). Yaping Chen collaborates with scholars based in China, United States and Australia. Yaping Chen's co-authors include Alfred Ayala, Chun‐Shiang Chung, Richard Boismenu, Xin Huang, Wendy L. Havran, Elaine Fuchs, Kevin Chou, Fabienne Venet, Nicolas H. Voelcker and Roey Elnathan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Yaping Chen

93 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaping Chen China 29 1.4k 860 566 387 276 98 2.9k
Philip O. Scumpia United States 37 2.0k 1.5× 1000 1.2× 833 1.5× 882 2.3× 397 1.4× 77 4.9k
Tsutomu Kawabe Japan 32 1.8k 1.3× 1.0k 1.2× 372 0.7× 310 0.8× 489 1.8× 152 4.2k
Hanna Kim United States 32 469 0.3× 1.1k 1.3× 446 0.8× 432 1.1× 289 1.0× 119 3.2k
Hossein Vazini Iran 11 1.8k 1.4× 1.3k 1.5× 443 0.8× 266 0.7× 418 1.5× 43 4.0k
Felix Ellett United States 26 1.4k 1.1× 1.0k 1.2× 324 0.6× 274 0.7× 108 0.4× 60 3.1k
Marı́a Rosa Bono Chile 31 1.9k 1.4× 1.2k 1.4× 355 0.6× 152 0.4× 469 1.7× 98 3.9k
Javier Mestas United States 16 2.1k 1.6× 1.3k 1.6× 593 1.0× 246 0.6× 1.1k 4.0× 23 4.7k
Heather M. Wilson United Kingdom 33 1.0k 0.8× 1.1k 1.3× 351 0.6× 156 0.4× 284 1.0× 97 3.5k
Qingqing Wang China 39 2.0k 1.5× 2.7k 3.1× 368 0.7× 228 0.6× 724 2.6× 127 5.1k
Daniel T. Fisher United States 15 1.1k 0.8× 653 0.8× 178 0.3× 348 0.9× 962 3.5× 31 2.6k

Countries citing papers authored by Yaping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yaping Chen. A scholar is included among the top collaborators of Yaping Chen 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 Yaping Chen. Yaping Chen 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
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Liu, Lei, Yaping Chen, Jian Lei, & Dabiao Liu. (2024). A phenomenological theory for hydration-induced supercontraction and twist of spider dragline silk. Extreme Mechanics Letters. 72. 102232–102232. 2 indexed citations
5.
Chen, Yaping, et al.. (2024). What can multi-factors contribute to Chinese EFL learners’ implicit L2 knowledge?. IRAL - International Review of Applied Linguistics in Language Teaching. 64(1). 173–195. 9 indexed citations
6.
Luo, Chenghua, et al.. (2024). Rhizosphere microbiome regulation: Unlocking the potential for plant growth. Current Research in Microbial Sciences. 8. 100322–100322. 29 indexed citations
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Lǚ, Kai, Yahong Li, Tianxiang Xiao, et al.. (2024). Screening and functional validation of the core detoxification genes conferring broad‐spectrum response to insecticides in Spodoptera frugiperda. Pest Management Science. 80(7). 3491–3503. 7 indexed citations
9.
Chen, Yaping, M Mach, David Bishop, et al.. (2023). Efficient non-viral CAR-T cell generation via silicon-nanotube-mediated transfection. Materials Today. 63. 8–17. 27 indexed citations
10.
Lan, Jie, Qibing Lin, Chunlei Zhou, et al.. (2023). Young Leaf White Stripe encodes a P‐type PPR protein required for chloroplast development. Journal of Integrative Plant Biology. 65(7). 1687–1702. 25 indexed citations
11.
Sun, Zhongxiang, Tianxiang Xiao, Yaping Chen, et al.. (2023). Genome-Wide Scanning Loci and Differentially Expressed Gene Analysis Unveils the Molecular Mechanism of Chlorantraniliprole Resistance in Spodoptera frugiperda. Journal of Agricultural and Food Chemistry. 71(38). 14092–14107. 8 indexed citations
12.
Chen, Yaping, Jason Brenker, Tuncay Alan, et al.. (2023). Engineering Efficient CAR‐T Cells via Electroactive Nanoinjection (Adv. Mater. 44/2023). Advanced Materials. 35(44). 1 indexed citations
13.
Chen, Yaping, Stella Aslanoglou, Gediminas Gervinskas, et al.. (2020). Silicon‐Nanotube‐Mediated Intracellular Delivery Enables Ex Vivo Gene Editing. Advanced Materials. 32(24). e2000036–e2000036. 63 indexed citations
14.
Jiang, Jihong, Baoji Hu, Chun‐Shiang Chung, et al.. (2020). SHP2 inhibitor PHPS1 ameliorates acute kidney injury by Erk1/2-STAT3 signaling in a combined murine hemorrhage followed by septic challenge model. Molecular Medicine. 26(1). 89–89. 14 indexed citations
15.
Chen, Yaping, et al.. (2019). Cellular Deformations Induced by Conical Silicon Nanowire Arrays Facilitate Gene Delivery. Small. 15(47). e1904819–e1904819. 68 indexed citations
16.
Lv, Dan, Yaping Chen, Xu Liu, et al.. (2018). Mechanisms underlying the rapid-acting antidepressant-like effects of neuropeptide VGF (non-acronymic) C-terminal peptide TLQP-62. Neuropharmacology. 143. 317–326. 13 indexed citations
17.
Ramachandran, Girish, Raymond Kaempfer, Chun‐Shiang Chung, et al.. (2014). CD28 Homodimer Interface Mimetic Peptide Acts as a Preventive and Therapeutic Agent in Models of Severe Bacterial Sepsis and Gram-Negative Bacterial Peritonitis. The Journal of Infectious Diseases. 211(6). 995–1003. 30 indexed citations
18.
Huang, Xin, Fabienne Venet, Alain Lepape, et al.. (2009). PD-1 expression by macrophages plays a pathologic role in altering microbial clearance and the innate inflammatory response to sepsis. Proceedings of the National Academy of Sciences. 106(15). 6303–6308. 420 indexed citations
19.
Venet, Fabienne, Chun‐Shiang Chung, Xin Huang, et al.. (2009). Lymphocytes in the Development of Lung Inflammation: A Role for Regulatory CD4+ T Cells in Indirect Pulmonary Lung Injury. The Journal of Immunology. 183(5). 3472–3480. 63 indexed citations
20.
Chen, Yaping & Peter W. Piper. (1995). Consequences of the overexpression of ubiquitin in yeast: elevated tolerances of osmostress, ethanol and canavanine, yet reduced tolerances of cadmium, arsenite and paromomycin. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1268(1). 59–64. 31 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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