Feng Yin

4.4k total citations
127 papers, 3.4k citations indexed

About

Feng Yin is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Feng Yin has authored 127 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 33 papers in Organic Chemistry and 33 papers in Oncology. Recurrent topics in Feng Yin's work include Chemical Synthesis and Analysis (43 papers), Peptidase Inhibition and Analysis (27 papers) and Click Chemistry and Applications (26 papers). Feng Yin is often cited by papers focused on Chemical Synthesis and Analysis (43 papers), Peptidase Inhibition and Analysis (27 papers) and Click Chemistry and Applications (26 papers). Feng Yin collaborates with scholars based in China, Singapore and United States. Feng Yin's co-authors include Ken‐Tye Yong, Zigang Li, Zigang Li, Dongyuan Wang, Kuan Hu, Fei Lu, Gaixia Xu, Junle Qu, Bobo Gu and Nishtha Panwar and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Feng Yin

123 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Yin China 31 1.8k 1.2k 1.1k 511 480 127 3.4k
Chen Wang China 28 1.4k 0.8× 969 0.8× 697 0.6× 252 0.5× 503 1.0× 119 3.1k
Gülen Yesilbag Tonga United States 30 1.7k 0.9× 993 0.8× 970 0.9× 444 0.9× 616 1.3× 51 3.1k
Qin Yang China 31 1.6k 0.9× 654 0.5× 496 0.4× 464 0.9× 389 0.8× 75 3.1k
Jean‐Philippe Pellois United States 35 2.3k 1.3× 584 0.5× 596 0.5× 572 1.1× 364 0.8× 67 3.4k
Sanku Mallik United States 38 1.7k 0.9× 1.5k 1.3× 579 0.5× 612 1.2× 1.2k 2.4× 130 4.0k
Yue Yuan China 28 1.1k 0.6× 915 0.8× 816 0.7× 274 0.5× 675 1.4× 86 2.5k
Junjie Li China 39 1.4k 0.8× 2.1k 1.8× 1.0k 0.9× 405 0.8× 1.7k 3.5× 85 4.1k
Qizhen Cao United States 24 1.2k 0.7× 1.4k 1.1× 1.1k 1.0× 193 0.4× 720 1.5× 32 3.6k
Cheol-Hee Ahn South Korea 31 1.1k 0.6× 1.0k 0.8× 655 0.6× 594 1.2× 888 1.9× 62 3.1k

Countries citing papers authored by Feng Yin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Yin. A scholar is included among the top collaborators of Feng Yin 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 Feng Yin. Feng Yin 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.
Nie, Zhiwei, Yutian Liu, Zhihong Liu, et al.. (2025). Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence. Briefings in Bioinformatics. 26(4).
2.
Wang, Dongyuan, Yajing Liu, Ying Chen, et al.. (2025). EGFR Targeted Liposomal PROTAC Assisted With Epigenetic Regulation as an Efficient Strategy for Osimertinib‐Resistant Lung Cancer Therapy. Advanced Science. 12(43). e10197–e10197. 2 indexed citations
3.
Xing, Yun, et al.. (2025). Peptides: potential delivery systems for mRNA. RSC Chemical Biology. 6(5). 666–677. 1 indexed citations
4.
Lian, Chenshan, et al.. (2025). Programmable Stapling Peptide Based on Sulfonium as Universal Vaccine Adjuvants for Multiple Types of Vaccines. Advanced Science. 12(11). e2409567–e2409567. 2 indexed citations
5.
Chen, Hong-Xuan, Yudong Qiu, Wu Fu, et al.. (2025). Single-molecule direct RNA sequencing reveals the shaping of epitranscriptome across multiple species. Nature Communications. 16(1). 5119–5119. 10 indexed citations
6.
Xing, Yun, et al.. (2024). A GSH-resistant FK228 analogue containing a stable disulfide bond. Bioorganic Chemistry. 144. 107119–107119. 2 indexed citations
7.
Zhang, Yaping, Chenshan Lian, Yun Xing, et al.. (2024). Sulfonium‐Stapled Peptides‐Based Neoantigen Delivery System for Personalized Tumor Immunotherapy and Prevention. Advanced Science. 11(24). e2307754–e2307754. 12 indexed citations
8.
Liu, Jianbo, Zi‐You Tian, Chuan Wan, et al.. (2024). In‐Depth Structural Analysis of a Stapled Pentapeptide and Its Assembly Into Straight α‐Helices. Small. 21(4). e2406214–e2406214. 1 indexed citations
9.
Li, Xi, et al.. (2024). Peptide Nanocarriers for Targeted Delivery of Nucleic Acids for Cancer Therapy. Bioconjugate Chemistry. 36(1). 25–33. 3 indexed citations
10.
Ma, Shenhui, Tong Li, Yang Zhu, et al.. (2023). Multi‐Body Biomarker Entrapment System: An All‐Encompassing Tool for Ultrasensitive Disease Diagnosis and Epidemic Screening. Advanced Materials. 35(46). e2304119–e2304119. 15 indexed citations
11.
Liu, Zhihong, Jianbo Liu, Jiaxin Chen, et al.. (2023). Development of Lysine Crotonyl‐Mimic Probe to Covalently Identify H3K27Cr Interacting Proteins. Chemistry - A European Journal. 29(62). e202301624–e202301624. 2 indexed citations
12.
Lian, Chenshan, Qinhong Luo, Junrong Huang, et al.. (2022). Diversity-Oriented Synthesis of ERα Modulators via Mitsunobu Macrocyclization. Organic Letters. 24(19). 3532–3537. 3 indexed citations
13.
Chen, Jie, Lihui Peng, Qiuyu Yang, et al.. (2021). HDAC1 potentiates CD4 + T cell activation by inhibiting miR-124 and promoting IRF1 in systemic lupus erythematosus. Cellular Immunology. 362. 104284–104284. 22 indexed citations
14.
Wang, Dongyuan, Wenjun Li, Longjian Chen, et al.. (2019). Stabilized Peptide HDAC Inhibitors Derived from HDAC1 Substrate H3K56 for the Treatment of Cancer Stem–Like Cells In Vivo. Cancer Research. 79(8). 1769–1783. 33 indexed citations
15.
He, Xuewen, Feng Yin, Dongyuan Wang, et al.. (2019). AIE Featured Inorganic–Organic Core@Shell Nanoparticles for High-Efficiency siRNA Delivery and Real-Time Monitoring. Nano Letters. 19(4). 2272–2279. 61 indexed citations
16.
Yin, Feng, Bobo Gu, Jingxu Li, et al.. (2019). In vitro anticancer activity of AIEgens. Biomaterials Science. 7(9). 3855–3865. 11 indexed citations
17.
Shi, Xiaodong, Yixiang Jiang, Hui Zhao, et al.. (2018). Reversible stapling of unprotected peptides via chemoselective methionine bis-alkylation/dealkylation. Chemical Science. 9(12). 3227–3232. 49 indexed citations
18.
Hu, Kuan, Yixiang Jiang, Wei Xiong, et al.. (2018). Tuning peptide self-assembly by an in-tether chiral center. Science Advances. 4(5). eaar5907–eaar5907. 69 indexed citations
19.
Liu, Na, Yue Ma, Dongyuan Wang, et al.. (2018). The Development of Epigenetics and Related Inhibitors for Targeted Drug Design in Cancer Therapy. Current Topics in Medicinal Chemistry. 18(28). 2380–2394. 16 indexed citations
20.
Yin, Feng. (2015). Relationship between Uncertainty Response and Future-oriented Coping: The Mediation of Anticipated Emotion. Beijing Daxue xuebao. Ziran kexue ban. 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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