Long Wu

1.5k total citations · 1 hit paper
19 papers, 927 citations indexed

About

Long Wu is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Long Wu has authored 19 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Spectroscopy and 4 papers in Materials Chemistry. Recurrent topics in Long Wu's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (8 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Long Wu is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (8 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Long Wu collaborates with scholars based in Hong Kong, China and United States. Long Wu's co-authors include Si‐Min He, Rui-Xiang Sun, Meng‐Qiu Dong, Wenfeng Zeng, Hao Chi, Chao Liu, Wenjing Zhou, Yue‐He Ding, Sheng‐Bo Fan and Dan Tan and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and ACS Nano.

In The Last Decade

Long Wu

17 papers receiving 913 citations

Hit Papers

A high-speed search engine pLink 2 with systematic evalua... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Wu Hong Kong 9 704 339 83 73 56 19 927
Wenjing Zhou China 13 708 1.0× 368 1.1× 75 0.9× 48 0.7× 54 1.0× 31 979
Leheng Wang China 11 880 1.3× 543 1.6× 98 1.2× 55 0.8× 48 0.9× 22 1.1k
Carola Doce Germany 7 915 1.3× 546 1.6× 130 1.6× 93 1.3× 43 0.8× 7 1.2k
Zhiqi Hao United States 12 667 0.9× 326 1.0× 81 1.0× 27 0.4× 95 1.7× 17 934
Vojtěch Franc Netherlands 17 693 1.0× 380 1.1× 69 0.8× 82 1.1× 28 0.5× 27 933
Daniel A. Polasky United States 17 934 1.3× 768 2.3× 76 0.9× 113 1.5× 32 0.6× 30 1.3k
Henrik Rahbek-Nielsen Denmark 13 537 0.8× 290 0.9× 82 1.0× 63 0.9× 45 0.8× 14 1.0k
Laurent Larivière Germany 18 1.3k 1.9× 177 0.5× 80 1.0× 75 1.0× 88 1.6× 25 1.5k
Heiner Koch Germany 9 706 1.0× 451 1.3× 73 0.9× 16 0.2× 58 1.0× 14 1.0k

Countries citing papers authored by Long Wu

Since Specialization
Citations

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

Fields of papers citing papers by Long Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Long Wu. A scholar is included among the top collaborators of Long 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 Long Wu. Long Wu 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.
Zhang, Aijun, Yingxue Fu, Zuo‐Fei Yuan, et al.. (2025). JUMPshiny: A User‐Friendly Platform for Comprehensive Analysis and Visualization of Quantitative Proteomics Data. PROTEOMICS. 25(20). 8–14.
3.
Wu, Long, et al.. (2023). Spectroscape enables real-time query and visualization of a spectral archive in proteomics. Nature Communications. 14(1). 6267–6267. 4 indexed citations
4.
Sulaiman, Jordy Evan, et al.. (2023). Mechanistic Insight into the Inhibitory Activity of Elasnin-Based Coating against Early Marine Biofilms. Environmental Science & Technology. 57(26). 9515–9525. 7 indexed citations
5.
Cheng, Aifang, Yan Zhang, Jin Sun, et al.. (2023). Pterosin sesquiterpenoids from Pteris laeta Wall. ex Ettingsh. protect cells from glutamate excitotoxicity by modulating mitochondrial signals. Journal of Ethnopharmacology. 308. 116308–116308. 3 indexed citations
6.
Yan, Neng, et al.. (2022). Comparative proteomic analysis reveals the different hepatotoxic mechanisms of human hepatocytes exposed to silver nanoparticles. Journal of Hazardous Materials. 445. 130599–130599. 13 indexed citations
7.
Sulaiman, Jordy Evan, Long Wu, & Henry Lam. (2022). Mutation in the Two-Component System Regulator YycH Leads to Daptomycin Tolerance in Methicillin-Resistant Staphylococcus aureus upon Evolution with a Population Bottleneck. Microbiology Spectrum. 10(4). e0168722–e0168722. 5 indexed citations
8.
Wu, Long, et al.. (2022). Common Decoy Distributions Simplify False Discovery Rate Estimation in Shotgun Proteomics. Journal of Proteome Research. 21(2). 339–348. 5 indexed citations
9.
Yang, Yun, Jihao Zhou, Ling Xu, et al.. (2021). Combinatory strategy using nanoscale proteomics and machine learning for T cell subtyping in peripheral blood of single multiple myeloma patients. Analytica Chimica Acta. 1173. 338672–338672. 8 indexed citations
10.
11.
Wu, Long, et al.. (2021). ClusterSheep: A Graphics Processing Unit-Accelerated Software Tool for Large-Scale Clustering of Tandem Mass Spectra from Shotgun Proteomics. Journal of Proteome Research. 20(12). 5359–5367. 3 indexed citations
12.
Liu, Jingjing, et al.. (2019). Proteomic analysis of thioproline misincorporation in Escherichia coli. Journal of Proteomics. 210. 103541–103541. 10 indexed citations
13.
Chen, Zhen-Lin, Yong Cao, Run-Qian Fang, et al.. (2019). A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides. Nature Communications. 10(1). 3404–3404. 329 indexed citations breakdown →
14.
Chi, Hao, Chao Liu, Hao Yang, et al.. (2018). Comprehensive identification of peptides in tandem mass spectra using an efficient open search engine. Nature Biotechnology. 36(11). 1059–1061. 283 indexed citations
15.
Chan, Gallant Kar-Lun, Long Wu, Henry Lam, et al.. (2017). A comprehensive proteomics study on edible bird’s nest using new monoclonal antibody approach and application in quality control. Journal of Food Composition and Analysis. 66. 145–151. 29 indexed citations
16.
Wu, Long, Sabine Amon, & Henry Lam. (2016). A hybrid retention time alignment algorithm for SWATH‐MS data. PROTEOMICS. 16(15-16). 2272–2283. 7 indexed citations
17.
Lu, Shan, Sheng‐Bo Fan, Bing Yang, et al.. (2015). Mapping native disulfide bonds at a proteome scale. Nature Methods. 12(4). 329–331. 127 indexed citations
18.
Yuan, Zuo‐Fei, Long Wu, Chao Liu, et al.. (2013). Accurate Determination of Precursor Ions for Peptides in Large-scale Protein Identification. ACTA AGRONOMICA SINICA. 40(1). 80–80. 2 indexed citations
19.
Chi, Hao, Haifeng Chen, Kun He, et al.. (2012). pNovo+: De Novo Peptide Sequencing Using Complementary HCD and ETD Tandem Mass Spectra. Journal of Proteome Research. 12(2). 615–625. 78 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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