Fanye Meng

1.2k total citations · 1 hit paper
19 papers, 810 citations indexed

About

Fanye Meng is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fanye Meng has authored 19 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fanye Meng's work include Protein Degradation and Inhibitors (7 papers), Ubiquitin and proteasome pathways (6 papers) and Peptidase Inhibition and Analysis (5 papers). Fanye Meng is often cited by papers focused on Protein Degradation and Inhibitors (7 papers), Ubiquitin and proteasome pathways (6 papers) and Peptidase Inhibition and Analysis (5 papers). Fanye Meng collaborates with scholars based in United States, China and Canada. Fanye Meng's co-authors include Jian Jin, H. Ümit Kanıskan, He Chen, Yudao Shen, Wenyi Wei, Jing Liu, Yi Liu, Junying Liu, Richard Fellows and Kwang‐Su Park and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Blood.

In The Last Decade

Fanye Meng

18 papers receiving 791 citations

Hit Papers

Cancer Selective Target Degradation by Folate-Caged PROTACs 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanye Meng United States 11 579 263 136 54 52 19 810
Cheryl Allen United States 19 577 1.0× 143 0.5× 36 0.3× 72 1.3× 68 1.3× 37 1.1k
Hannah Wang Singapore 13 399 0.7× 195 0.7× 46 0.3× 2 0.0× 14 0.3× 23 728
Melissa Steward United States 9 457 0.8× 27 0.1× 34 0.3× 4 0.1× 12 0.2× 9 819
G. Kenneth Gray United States 11 400 0.7× 369 1.4× 11 0.1× 7 0.1× 96 1.8× 18 828
Ming He China 9 991 1.7× 456 1.7× 231 1.7× 3 0.1× 24 0.5× 20 1.1k
Houhui Shi China 6 280 0.5× 424 1.6× 25 0.2× 20 0.4× 125 2.4× 10 901
Xiaoyu Lin China 17 737 1.3× 203 0.8× 86 0.6× 3 0.1× 18 0.3× 50 1.0k
Cia Olsson Finland 8 1.0k 1.7× 48 0.2× 24 0.2× 2 0.0× 176 3.4× 8 1.3k
Akifumi Mizutani Japan 16 481 0.8× 271 1.0× 19 0.1× 12 0.2× 110 2.1× 31 698
Ryou Takahashi Japan 6 300 0.5× 229 0.9× 11 0.1× 11 0.2× 42 0.8× 10 525

Countries citing papers authored by Fanye Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fanye Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanye Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Fanye Meng. A scholar is included among the top collaborators of Fanye Meng 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 Fanye Meng. Fanye Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wang, Yazhou, Xiaomin Wang, Tingting Liu, et al.. (2025). Discovery of a bifunctional PKMYT1-targeting PROTAC empowered by AI-generation. Nature Communications. 16(1). 10759–10759.
2.
Wang, Yazhou, Jinxin Liu, Yihong Zhang, et al.. (2025). Rational Design and Identification of ISM7594 as a Tissue-Agnostic FGFR2/3 Inhibitor. Journal of Medicinal Chemistry. 68(13). 13887–13906. 3 indexed citations
3.
Wang, Yazhou, Yihong Zhang, Jinxin Liu, et al.. (2025). Discovery of Pyrrolopyrazine Carboxamide Derivatives as Potent and Selective FGFR2/3 Inhibitors that Overcome Mutant Resistance. Journal of Medicinal Chemistry. 68(3). 3886–3899. 8 indexed citations
4.
Lee, Heng‐Huan, Ravi Prakash Shukla, Violetta V. Leshchenko, et al.. (2024). Novel Insights into SOX11 Modulation of BCR Signaling and Targeting of BTK Resistance. Blood. 144(Supplement 1). 1402–1402. 1 indexed citations
5.
Wang, Yazhou, Chao Wang, Jinxin Liu, et al.. (2024). Discovery of 3-hydroxymethyl-azetidine derivatives as potent polymerase theta inhibitors. Bioorganic & Medicinal Chemistry. 103. 117662–117662. 9 indexed citations
6.
Meng, Fanye, Jinxin Liu, Zhongying Cao, et al.. (2024). Discovery of macrocyclic CDK2/4/6 inhibitors with improved potency and DMPK properties through a highly efficient macrocyclic drug design platform. Bioorganic Chemistry. 146. 107285–107285. 4 indexed citations
7.
Wang, Chao, Yazhou Wang, Fanye Meng, et al.. (2024). Discovery of pyrrolopyrimidinone derivatives as potent PKMYT1 inhibitors for the treatment of cancer. European Journal of Medicinal Chemistry. 281. 117025–117025. 2 indexed citations
8.
Meng, Fanye, Chang Liu, Hao Hao, et al.. (2023). Personalized and Safe Soft Glove for Rehabilitation Training. Electronics. 12(11). 2531–2531. 8 indexed citations
9.
Yin, Junyi, Chang Liu, Gang Ge, et al.. (2023). Learning Hand Kinematics for Parkinson's Disease Assessment Using a Multimodal Sensor Glove. Advanced Science. 10(20). e2206982–e2206982. 40 indexed citations
10.
Zhao, Nan, Jessica Ho, Fanye Meng, et al.. (2023). Generation of host-directed and virus-specific antivirals using targeted protein degradation promoted by small molecules and viral RNA mimics. Cell Host & Microbe. 31(7). 1154–1169.e10. 16 indexed citations
11.
Meng, Fanye, Chenxi Xu, Kwang‐Su Park, et al.. (2022). Discovery of a First-in-Class Degrader for Nuclear Receptor Binding SET Domain Protein 2 (NSD2) and Ikaros/Aiolos. Journal of Medicinal Chemistry. 65(15). 10611–10625. 39 indexed citations
12.
Meng, Fanye, Kwang‐Su Park, Li Wang, et al.. (2021). Harnessing the E3 Ligase KEAP1 for Targeted Protein Degradation. Journal of the American Chemical Society. 143(37). 15073–15083. 96 indexed citations
13.
Liu, Jing, He Chen, Yi Liu, et al.. (2021). Cancer Selective Target Degradation by Folate-Caged PROTACs. Journal of the American Chemical Society. 143(19). 7380–7387. 219 indexed citations breakdown →
14.
Xu, Chenxi, Fanye Meng, Kwang‐Su Park, et al.. (2021). A NSD3-targeted PROTAC suppresses NSD3 and cMyc oncogenic nodes in cancer cells. Cell chemical biology. 29(3). 386–397.e9. 42 indexed citations
15.
Shen, Yudao, Fengling Li, Magdalena M. Szewczyk, et al.. (2020). Discovery of a First-in-Class Protein Arginine Methyltransferase 6 (PRMT6) Covalent Inhibitor. Journal of Medicinal Chemistry. 63(10). 5477–5487. 29 indexed citations
16.
Cheng, Meng, Xufen Yu, Ling Xie, et al.. (2020). Discovery of Potent and Selective Epidermal Growth Factor Receptor (EGFR) Bifunctional Small-Molecule Degraders. Journal of Medicinal Chemistry. 63(3). 1216–1232. 144 indexed citations
17.
18.
Liu, Junying, Fanye Meng, & Richard Fellows. (2014). An exploratory study of understanding project risk management from the perspective of national culture. International Journal of Project Management. 33(3). 564–575. 67 indexed citations
19.
Ren, Xuan, et al.. (2010). Differential effects of propofol and isoflurane on the activation of T‐helper cells in lung cancer patients. Anaesthesia. 65(5). 478–482. 67 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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