Fanyang Mo

6.2k total citations · 3 hit papers
93 papers, 5.3k citations indexed

About

Fanyang Mo is a scholar working on Organic Chemistry, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Fanyang Mo has authored 93 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Organic Chemistry, 15 papers in Inorganic Chemistry and 10 papers in Molecular Biology. Recurrent topics in Fanyang Mo's work include Catalytic C–H Functionalization Methods (44 papers), Catalytic Cross-Coupling Reactions (22 papers) and Organoboron and organosilicon chemistry (16 papers). Fanyang Mo is often cited by papers focused on Catalytic C–H Functionalization Methods (44 papers), Catalytic Cross-Coupling Reactions (22 papers) and Organoboron and organosilicon chemistry (16 papers). Fanyang Mo collaborates with scholars based in China, United States and Australia. Fanyang Mo's co-authors include Guangbin Dong, Jianbo Wang, Di Qiu, Yan Zhang, Hee Nam Lim, Louis J. Trzepkowski, Lei Zhang, Michael C. Young, Zhongxing Huang and Zhi Ren and has published in prestigious journals such as Science, Chemical Reviews and Journal of the American Chemical Society.

In The Last Decade

Fanyang Mo

89 papers receiving 5.3k citations

Hit Papers

Transition metal-catalyzed ketone-directed or mediated C–... 2013 2026 2017 2021 2015 2013 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanyang Mo China 34 4.4k 972 546 391 332 93 5.3k
Naoki Ishida Japan 38 3.9k 0.9× 920 0.9× 301 0.6× 349 0.9× 373 1.1× 103 4.6k
Xu Cheng China 41 4.4k 1.0× 985 1.0× 514 0.9× 704 1.8× 394 1.2× 136 5.5k
Liangbin Huang China 39 4.7k 1.0× 1.1k 1.2× 199 0.4× 460 1.2× 206 0.6× 112 5.4k
Yun‐Fang Yang China 35 3.9k 0.9× 1.2k 1.3× 252 0.5× 656 1.7× 699 2.1× 141 5.0k
Xin‐Hua Duan China 46 5.5k 1.2× 514 0.5× 642 1.2× 232 0.6× 166 0.5× 158 6.0k
Xin‐Qi Hao China 43 4.2k 0.9× 1.4k 1.4× 236 0.4× 792 2.0× 172 0.5× 187 5.0k
Ruimao Hua China 39 3.5k 0.8× 828 0.9× 158 0.3× 485 1.2× 611 1.8× 162 4.5k
Thomas J. Colacot United States 29 6.5k 1.5× 1.7k 1.8× 240 0.4× 580 1.5× 123 0.4× 55 7.0k
Yuanzhi Xia China 34 4.4k 1.0× 974 1.0× 160 0.3× 169 0.4× 192 0.6× 124 4.8k
Yaofeng Yuan China 30 2.4k 0.5× 824 0.8× 1.0k 1.8× 620 1.6× 175 0.5× 152 3.5k

Countries citing papers authored by Fanyang Mo

Since Specialization
Citations

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

Fields of papers citing papers by Fanyang Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanyang Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Fanyang Mo. A scholar is included among the top collaborators of Fanyang Mo 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 Fanyang Mo. Fanyang Mo 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.
Wu, Wenchao, Hao Xu, P. W. Luo, et al.. (2025). Intelligent column chromatography prediction model based on automation and machine learning. Chem. 11(11). 102598–102598. 2 indexed citations
3.
Xu, Hao, Wenchao Wu, Yuntian Chen, Dongxiao Zhang, & Fanyang Mo. (2025). Explicit relation between thin film chromatography and column chromatography conditions from statistics and machine learning. Nature Communications. 16(1). 832–832. 6 indexed citations
4.
Lian, Chang, Jianning Zhang, Lei Zhang, & Fanyang Mo. (2025). One-Pot Decarbonylative Borylation of Aliphatic Aldehydes. The Journal of Organic Chemistry. 90(11). 3841–3847. 1 indexed citations
5.
Li, Yuan, et al.. (2025). Decoupled peak property learning for efficient and interpretable electronic circular dichroism spectrum prediction. Nature Computational Science. 5(3). 234–244. 3 indexed citations
6.
Zou, Ruqiang, et al.. (2024). Infrared Spectra Prediction for Functional Group Region Utilizing a Machine Learning Approach with Structural Neighboring Mechanism. Analytical Chemistry. 96(39). 15550–15562. 3 indexed citations
7.
Guo, Yilin, Chen Yang, Lei Zhang, et al.. (2024). Full on-device manipulation of olefin metathesis for precise manufacturing. Nature Nanotechnology. 20(2). 246–254. 2 indexed citations
8.
Li, Wenke, Beiqi Sun, Lei Zhang, & Fanyang Mo. (2023). Photocarboxylation of remote C–H bonds through nitrogen-centred radical 1,5-hydrogen atom transfer. Green Chemistry. 25(13). 5030–5034. 30 indexed citations
9.
Xu, Hao, et al.. (2023). Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network. Nature Communications. 14(1). 3095–3095. 36 indexed citations
10.
Zhang, Xuelai, et al.. (2023). Application of super-cooled storage of aquatic products: A review. International Journal of Refrigeration. 154. 66–72. 8 indexed citations
11.
Sun, Beiqi, et al.. (2023). Transition metal-free visible light photoredox-catalyzed remote C(sp3)−H borylation enabled by 1,5-hydrogen atom transfer. Communications Chemistry. 6(1). 156–156. 8 indexed citations
12.
Zhang, Lei, Chen Yang, Chenxi Lu, et al.. (2022). Precise electrical gating of the single-molecule Mizoroki-Heck reaction. Nature Communications. 13(1). 4552–4552. 17 indexed citations
13.
Xu, Hao, Dongxiao Zhang, & Fanyang Mo. (2022). High-throughput automated platform for thin layer chromatography analysis. STAR Protocols. 3(4). 101893–101893. 9 indexed citations
14.
Yang, Chen, Lei Zhang, Chenxi Lu, et al.. (2021). Unveiling the full reaction path of the Suzuki–Miyaura cross-coupling in a single-molecule junction. Nature Nanotechnology. 16(11). 1214–1223. 80 indexed citations
15.
Zhang, Zhenxing, Lei Zhang, Xianhao Zhang, et al.. (2020). Anodic oxidation triggered divergent 1,2- and 1,4-group transfer reactions of β-hydroxycarboxylic acids enabled by electrochemical regulation. Chemical Science. 11(44). 12021–12028. 24 indexed citations
16.
Liu, Qianyi, Lei Zhang, & Fanyang Mo. (2020). Organic Borylation Reactions via Radical Mechanism. Acta Chimica Sinica. 78(12). 1297–1297. 15 indexed citations
17.
Pietsch, Sabrina, Emily C. Neeve, David C. Apperley, et al.. (2015). Synthesis, Structure, and Reactivity of Anionic sp2–sp3 Diboron Compounds: Readily Accessible Boryl Nucleophiles. Chemistry - A European Journal. 21(19). 7082–7098. 194 indexed citations
18.
Qiu, Di, He Meng, Liang Jin, et al.. (2013). Synthesis of Aryl Trimethylstannanes from Aryl Amines: A Sandmeyer‐Type Stannylation Reaction. Angewandte Chemie International Edition. 52(44). 11581–11584. 82 indexed citations
19.
Qiu, Di, Liang Jin, Zhitong Zheng, et al.. (2012). Synthesis of Pinacol Arylboronates from Aromatic Amines: A Metal-Free Transformation. The Journal of Organic Chemistry. 78(5). 1923–1933. 121 indexed citations
20.
Qiu, Di, Fanyang Mo, Zhitong Zheng, Yan Zhang, & Jianbo Wang. (2011). New Developments in Aromatic Halogenation, Borylation, and Cyanation. CHIMIA International Journal for Chemistry. 65(12). 909–909. 3 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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