Fangrui Wu

1.8k total citations · 1 hit paper
24 papers, 1.5k citations indexed

About

Fangrui Wu is a scholar working on Molecular Biology, Pharmacology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Fangrui Wu has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Fangrui Wu's work include Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (6 papers) and Protein Degradation and Inhibitors (5 papers). Fangrui Wu is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (6 papers) and Protein Degradation and Inhibitors (5 papers). Fangrui Wu collaborates with scholars based in United States, China and Germany. Fangrui Wu's co-authors include Joachim Stöckigt, Andrey P. Antonchick, Herbert Waldmann, Yongcheng Song, Jingyu Wu, Yuan Yao, Chao Zhou, Liping Wei, Zizhen Feng and Shenyou Nie and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Fangrui Wu

23 papers receiving 1.5k citations

Hit Papers

The Pictet–Spengler Reaction in Nature and in Organic Che... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangrui Wu United States 16 763 749 189 186 160 24 1.5k
Maria Chrzanowska Poland 15 293 0.4× 1.2k 1.6× 121 0.6× 397 2.1× 153 1.0× 62 1.6k
Sivaraman Dandapani United States 19 928 1.2× 914 1.2× 32 0.2× 136 0.7× 121 0.8× 54 1.7k
Gregory A. Reichard United States 19 542 0.7× 601 0.8× 191 1.0× 22 0.1× 126 0.8× 37 1.4k
Brigitte Baldeyrou France 23 710 0.9× 749 1.0× 47 0.2× 75 0.4× 136 0.8× 42 1.3k
Zhu‐Jun Yao China 25 634 0.8× 1.3k 1.7× 86 0.5× 54 0.3× 193 1.2× 96 1.8k
Niamh M. O’Boyle Ireland 20 473 0.6× 825 1.1× 58 0.3× 120 0.6× 93 0.6× 48 1.3k
Soo S. Ko United States 20 561 0.7× 841 1.1× 89 0.5× 43 0.2× 93 0.6× 32 1.5k
Chang Yong Hong South Korea 20 428 0.6× 688 0.9× 99 0.5× 113 0.6× 224 1.4× 39 1.3k
Randall W. Hungate United States 22 643 0.8× 748 1.0× 47 0.2× 120 0.6× 109 0.7× 51 1.4k

Countries citing papers authored by Fangrui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fangrui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangrui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangrui Wu. A scholar is included among the top collaborators of Fangrui Wu 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 Fangrui Wu. Fangrui Wu 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
2.
Li, Xin, Yuan Yao, Fangrui Wu, & Yongcheng Song. (2022). A proteolysis-targeting chimera molecule selectively degrades ENL and inhibits malignant gene expression and tumor growth. Journal of Hematology & Oncology. 15(1). 41–41. 21 indexed citations
3.
Nie, Shenyou, Fangrui Wu, Jingyu Wu, et al.. (2022). Structure-activity relationship and antitumor activity of 1,4-pyrazine-containing inhibitors of histone acetyltransferases P300/CBP. European Journal of Medicinal Chemistry. 237. 114407–114407. 7 indexed citations
4.
Nie, Shenyou, Jidong Zhao, Xiaowei Wu, et al.. (2021). Synthesis, structure-activity relationship and antiviral activity of indole-containing inhibitors of Flavivirus NS2B-NS3 protease. European Journal of Medicinal Chemistry. 225. 113767–113767. 26 indexed citations
5.
Wu, Fangrui, Shenyou Nie, Yuan Yao, et al.. (2021). Small-molecule inhibitor of AF9/ENL-DOT1L/AF4/AFF4 interactions suppresses malignant gene expression and tumor growth. Theranostics. 11(17). 8172–8184. 23 indexed citations
6.
Gao, Yujing, Lijia Chen, Yali Han, et al.. (2020). Acetylation of histone H3K27 signals the transcriptional elongation for estrogen receptor alpha. Communications Biology. 3(1). 165–165. 30 indexed citations
7.
Wu, Fangrui, Yuanda Hua, Salma Kaochar, et al.. (2020). Discovery, Structure–Activity Relationship, and Biological Activity of Histone-Competitive Inhibitors of Histone Acetyltransferases P300/CBP. Journal of Medicinal Chemistry. 63(9). 4716–4731. 25 indexed citations
8.
Wu, Fangrui, et al.. (2019). Thermodynamic investigation of DNA-binding affinity of wild-type and mutant transcription factor RUNX1. PLoS ONE. 14(5). e0216203–e0216203. 1 indexed citations
9.
Wen, Yefei, Yuan Yao, Fengju Chen, et al.. (2018). Glucocorticoids Inhibit Oncogenic RUNX1-ETO in Acute Myeloid Leukemia with Chromosome Translocation t(8;21). Theranostics. 8(8). 2189–2201. 11 indexed citations
10.
Wu, Fangrui, Gang Cheng, Yuan Yao, et al.. (2018). Inhibition of Mutated Isocitrate Dehydrogenase 1 in Cancer. Medicinal Chemistry. 14(7). 715–724. 6 indexed citations
11.
Zhou, Chao, et al.. (2017). Structure activity relationship and modeling studies of inhibitors of lysine specific demethylase 1. PLoS ONE. 12(2). e0170301–e0170301. 12 indexed citations
12.
Song, Yongcheng, Fangrui Wu, & Jingyu Wu. (2016). Targeting histone methylation for cancer therapy: enzymes, inhibitors, biological activity and perspectives. Journal of Hematology & Oncology. 9(1). 49–49. 116 indexed citations
13.
Feng, Zizhen, Yuan Yao, Chao Zhou, et al.. (2016). Pharmacological inhibition of LSD1 for the treatment of MLL-rearranged leukemia. Journal of Hematology & Oncology. 9(1). 24–24. 84 indexed citations
14.
Wu, Fangrui, et al.. (2015). Sarpagan-Ajmalan-Type Indoles. PubMed. 76. 1–61. 14 indexed citations
15.
Wu, Fangrui, Baisong Zheng, Mari Kogiso, et al.. (2015). Inhibition of Cancer-Associated Mutant Isocitrate Dehydrogenases by 2-Thiohydantoin Compounds. Journal of Medicinal Chemistry. 58(17). 6899–6908. 63 indexed citations
16.
Zhu, Huajian, Fangrui Wu, Chitra Rajendran, et al.. (2015). Using Strictosidine Synthase to Prepare Novel Alkaloids. Current Medicinal Chemistry. 22(15). 1880–1888. 16 indexed citations
17.
18.
Stöckigt, Joachim, Andrey P. Antonchick, Fangrui Wu, & Herbert Waldmann. (2011). The Pictet–Spengler Reaction in Nature and in Organic Chemistry. Angewandte Chemie International Edition. 50(37). 8538–8564. 615 indexed citations breakdown →
19.
Wu, Fangrui, Huajian Zhu, Lianli Sun, et al.. (2011). Scaffold Tailoring by a Newly Detected Pictet–Spenglerase Activity of Strictosidine Synthase: From the Common Tryptoline Skeleton to the Rare Piperazino-indole Framework. Journal of the American Chemical Society. 134(3). 1498–1500. 46 indexed citations
20.
Stöckigt, Joachim, Andrey P. Antonchick, Fangrui Wu, & Herbert Waldmann. (2011). Die Pictet‐Spengler‐Reaktion in der Natur und der organischen Chemie. Angewandte Chemie. 123(37). 8692–8719. 144 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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