Xiaowei Song

2.4k total citations · 1 hit paper
65 papers, 1.9k citations indexed

About

Xiaowei Song is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Xiaowei Song has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 33 papers in Spectroscopy and 9 papers in Biomedical Engineering. Recurrent topics in Xiaowei Song's work include Mass Spectrometry Techniques and Applications (30 papers), Metabolomics and Mass Spectrometry Studies (18 papers) and Analytical Chemistry and Chromatography (11 papers). Xiaowei Song is often cited by papers focused on Mass Spectrometry Techniques and Applications (30 papers), Metabolomics and Mass Spectrometry Studies (18 papers) and Analytical Chemistry and Chromatography (11 papers). Xiaowei Song collaborates with scholars based in China, United States and Saudi Arabia. Xiaowei Song's co-authors include Richard N. Zare, Chanbasha Basheer, Zeper Abliz, Jiuming He, Yifan Meng, Zhigang Luo, Chenglong Sun, Luojiao Huang, Tiegang Li and Xinxing Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Xiaowei Song

64 papers receiving 1.8k citations

Hit Papers

Sprayed water microdroplets containing dissolved pyridine... 2022 2026 2023 2024 2022 25 50 75 100

Peers

Xiaowei Song
Comparison fields: 5 of 127
  • Molecular Biology 824
  • Spectroscopy 651
  • Biomedical Engineering 300
  • Cancer Research 195
  • Materials Chemistry 166
Replace Shibdas Banerjee with:
Shibdas Banerjee India
Halina Abramczyk Poland
Dongbo Zhao China
Yujiro Hayashi Japan
Rugang Zhong China
Jostein Krane Norway
Vladimir Shafirovich United States
Ya‐Jun Zheng United States
Honggang Nie China
Jeffrey R. Kanofsky United States
Shibdas Banerjee India View profile →
Citations per field, relative to Xiaowei Song
Xiaowei Song · 1×
Citations per year, relative to Xiaowei Song
Xiaowei Song · 1×

Countries citing papers authored by Xiaowei Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Song. A scholar is included among the top collaborators of Xiaowei Song 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 Xiaowei Song. Xiaowei Song 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
# Work Indexed citations
1 0
2 1
3 5
4 9
5 2
6 2
7 8
8 11
9 3
10 69
11 20
12 9
13 4
14 16
15 10
16 27
17 32
18 29
19 3
20 9

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