Cuihong Wan

2.9k total citations · 1 hit paper
45 papers, 916 citations indexed

About

Cuihong Wan is a scholar working on Molecular Biology, Spectroscopy and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Cuihong Wan has authored 45 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 12 papers in Spectroscopy and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Cuihong Wan's work include RNA and protein synthesis mechanisms (9 papers), Advanced Proteomics Techniques and Applications (9 papers) and Machine Learning in Bioinformatics (6 papers). Cuihong Wan is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Advanced Proteomics Techniques and Applications (9 papers) and Machine Learning in Bioinformatics (6 papers). Cuihong Wan collaborates with scholars based in China, Canada and United States. Cuihong Wan's co-authors include Bing Wang, Shuying Liu, Andrew Emili, Meng Cui, Zhiqiang Liu, Quan Wang, Meng Ye, Quanyi Liu, Ran Cui and Wei Liu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Cuihong Wan

45 papers receiving 902 citations

Hit Papers

Data-informed discovery of hydrolytic nanozymes 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuihong Wan China 16 578 214 170 76 68 45 916
Régine Lebrun France 24 863 1.5× 164 0.8× 76 0.4× 76 1.0× 156 2.3× 58 1.4k
Amrik Basran United Kingdom 12 541 0.9× 96 0.4× 70 0.4× 45 0.6× 176 2.6× 19 1.0k
Niklas Gustavsson Sweden 18 791 1.4× 92 0.4× 88 0.5× 43 0.6× 173 2.5× 25 1.1k
Jun Yao China 20 629 1.1× 61 0.3× 276 1.6× 79 1.0× 96 1.4× 60 1.2k
Konstantin M. Boyko Russia 19 661 1.1× 281 1.3× 27 0.2× 46 0.6× 74 1.1× 105 988
Laura S. Busenlehner United States 16 555 1.0× 148 0.7× 154 0.9× 57 0.8× 79 1.2× 27 1.1k
Jean‐Pierre Chessa Belgium 9 838 1.4× 285 1.3× 51 0.3× 167 2.2× 138 2.0× 10 1.2k
Jacob E. Shokes United States 15 348 0.6× 161 0.8× 62 0.4× 46 0.6× 43 0.6× 23 831
Victor J. Nesatyy Switzerland 15 286 0.5× 202 0.9× 159 0.9× 132 1.7× 28 0.4× 21 772
Eyal Akiva United States 16 892 1.5× 201 0.9× 33 0.2× 66 0.9× 54 0.8× 21 1.2k

Countries citing papers authored by Cuihong Wan

Since Specialization
Citations

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

Fields of papers citing papers by Cuihong Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuihong Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Cuihong Wan. A scholar is included among the top collaborators of Cuihong Wan 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 Cuihong Wan. Cuihong Wan 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.
Zhao, Peng, Qiang Xiao, & Cuihong Wan. (2025). Identification and Validation of SmORF-Encoded Peptides by Genomics and Proteomics in Five Cyanobacteria. Journal of Proteome Research. 24(11). 5818–5829. 1 indexed citations
2.
Li, Shenglan, et al.. (2024). Comparative proteomic analysis of seed germination between allotetraploid cotton Gossypium hirsutum and Gossypium barbadense. Journal of Proteomics. 297. 105130–105130. 3 indexed citations
3.
Wan, Cuihong, et al.. (2024). sOCP: a framework predicting smORF coding potential based on TIS and in-frame features and effectively applied in the human genome. Briefings in Bioinformatics. 25(3). 1 indexed citations
4.
Wang, Yunyi, et al.. (2024). Polystyrene microplastics and di-2-ethylhexyl phthalate co-exposure: Implications for female reproductive health. Environmental Science and Ecotechnology. 22. 100471–100471. 34 indexed citations
5.
Li, Yujie, et al.. (2024). Mapping Start Codons of Small Open Reading Frames by N-Terminomics Approach. Molecular & Cellular Proteomics. 23(11). 100860–100860. 2 indexed citations
6.
Yao, Sheng, et al.. (2022). Identification and analysis of smORFs in Chlamydomonas reinhardtii. Genomics. 114(5). 110444–110444. 3 indexed citations
7.
Xu, Chen, et al.. (2022). Comparative Network Biology Discovers Protein Complexes That Underline Cellular Differentiation in Anabaena sp.. Molecular & Cellular Proteomics. 21(4). 100224–100224. 5 indexed citations
8.
Yao, Sheng, et al.. (2022). Proteome-wide analysis of stress response to temperature in Sulfolobus islandicus. Journal of Proteomics. 266. 104681–104681. 3 indexed citations
9.
Xie, Haibo, Ramila S. Patel‐King, Bing Wang, et al.. (2021). Heme-binding protein CYB5D1 is a radial spoke component required for coordinated ciliary beating. Proceedings of the National Academy of Sciences. 118(17). 13 indexed citations
10.
Xu, Chen, et al.. (2021). Global Landscape of Native Protein Complexes in Synechocystis sp. PCC 6803. Genomics Proteomics & Bioinformatics. 20(4). 715–727. 16 indexed citations
11.
Wang, Bing, et al.. (2021). Mapping Microproteins and ncRNA-Encoded Polypeptides in Different Mouse Tissues. Frontiers in Cell and Developmental Biology. 9. 687748–687748. 14 indexed citations
12.
Wang, Bing, et al.. (2020). Identification and analysis of small proteins and short open reading frame encoded peptides in Hep3B cell. Journal of Proteomics. 230. 103965–103965. 26 indexed citations
13.
Goebels, Florian, Uroš Kuzmanov, Cuihong Wan, et al.. (2019). EPIC: software toolkit for elution profile-based inference of protein complexes. Nature Methods. 16(8). 737–742. 64 indexed citations
14.
He, Xiaolong, Honglan Shi, Chady Stephan, et al.. (2019). Evaluating the treatment effectiveness of copper-based algaecides on toxic algae Microcystis aeruginosa using single cell-inductively coupled plasma-mass spectrometry. Analytical and Bioanalytical Chemistry. 411(21). 5531–5543. 51 indexed citations
15.
Wang, Bing, Mengdie Hu, Zhengwei Cui, et al.. (2018). Site-Specific N-Glycan Characterization of Grass Carp Serum IgM. Frontiers in Immunology. 9. 2645–2645. 14 indexed citations
16.
Wang, Bing, et al.. (2018). Investigation of the dynamical expression of Nostoc flagelliforme proteome in response to rehydration. Journal of Proteomics. 192. 160–168. 19 indexed citations
18.
Mak, Anthony B., Zuyao Ni, Johannes A. Hewel, et al.. (2010). A Lentiviral Functional Proteomics Approach Identifies Chromatin Remodeling Complexes Important for the Induction of Pluripotency. Molecular & Cellular Proteomics. 9(5). 811–823. 65 indexed citations
19.
Wan, Cuihong, Xinhua Guo, Fengrui Song, Zhiqiang Liu, & Shuying Liu. (2008). Interactions of mitoxantrone with duplex and triplex DNA studied by electrospray ionization mass spectrometry. Rapid Communications in Mass Spectrometry. 22(24). 4043–4048. 16 indexed citations
20.
Wan, Cuihong, Xinhua Guo, Zhiqiang Liu, & Shuying Liu. (2007). Studies of the intermolecular DNA triplexes of C+·GC and T·AT triplets by electrospray ionization Fourier‐transform ion cyclotron resonance mass spectrometry. Journal of Mass Spectrometry. 43(2). 164–172. 8 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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