Si Wu

59 total papers · 3.0k total citations
32 papers, 813 citations indexed

About

Si Wu is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Si Wu has authored 32 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Genetics. Recurrent topics in Si Wu's work include Metabolomics and Mass Spectrometry Studies (14 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Nutrition and Health in Aging (4 papers). Si Wu is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (14 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Nutrition and Health in Aging (4 papers). Si Wu collaborates with scholars based in China, United States and Germany. Si Wu's co-authors include Xin Dong, Yifeng Chai, Guangguo Tan, Yariv Brotman, Alisdair R. Fernie, M Snyder, Zhenyu Zhu, Lothar Willmitzer, Wuhong Li and Joost J. B. Keurentjes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Si Wu

29 papers receiving 803 citations

Hit Papers

Dynamic lipidome alterati... 2023 2026 2024 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Dynamic lipidome alterations associated with human health, disease and ageing
    2023 99 citations Daniel Hornburg, Si Wu et al. Nature Metabolism profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Si Wu 453 196 119 89 76 32 813
Liping Liao 361 0.8× 143 0.7× 81 0.7× 68 0.8× 43 0.6× 35 820
Christopher Weidner 425 0.9× 114 0.6× 93 0.8× 32 0.4× 79 1.0× 18 751
Milan Nagy 339 0.7× 273 1.4× 87 0.7× 37 0.4× 70 0.9× 48 951
Franco Ferrari 504 1.1× 194 1.0× 86 0.7× 23 0.3× 91 1.2× 39 931
Ka Wing Leung 479 1.1× 110 0.6× 125 1.1× 35 0.4× 72 0.9× 44 961
Dejan Nikolić 515 1.1× 186 0.9× 64 0.5× 80 0.9× 327 4.3× 32 997
Cameron O. Scarlett 489 1.1× 58 0.3× 94 0.8× 134 1.5× 111 1.5× 29 1.0k
Xiaoyan Pang 382 0.8× 98 0.5× 50 0.4× 71 0.8× 224 2.9× 35 880
Maria Manuel Silva 405 0.9× 64 0.3× 92 0.8× 75 0.8× 67 0.9× 37 836
In Sook Kim 458 1.0× 57 0.3× 119 1.0× 60 0.7× 130 1.7× 39 790

Countries citing papers authored by Si Wu

Since Specialization
Citations

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

Fields of papers citing papers by Si Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Wu

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

All Works

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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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2026