Xiaomei Yan

24.2k total citations · 5 hit papers
270 papers, 9.7k citations indexed

About

Xiaomei Yan is a scholar working on Molecular Biology, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Xiaomei Yan has authored 270 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Molecular Biology, 62 papers in Biomedical Engineering and 58 papers in Spectroscopy. Recurrent topics in Xiaomei Yan's work include Molecular Sensors and Ion Detection (36 papers), Biosensors and Analytical Detection (30 papers) and Sulfur Compounds in Biology (28 papers). Xiaomei Yan is often cited by papers focused on Molecular Sensors and Ion Detection (36 papers), Biosensors and Analytical Detection (30 papers) and Sulfur Compounds in Biology (28 papers). Xiaomei Yan collaborates with scholars based in China, United States and Japan. Xiaomei Yan's co-authors include Lijun Tang, Shaobin Zhu, Lina Wu, Keli Zhong, Wei Hang, Chaoxiang Chen, Ye Tian, Wenqiang Zhang, Jinchun Xing and Ling Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Xiaomei Yan

265 papers receiving 9.5k citations

Hit Papers

Quality and efficiency assessment of six extracellular ve... 2018 2026 2020 2023 2019 2018 2022 2022 2024 100 200 300 400

Peers

Xiaomei Yan
Comparison fields: 5 of 151
  • Molecular Biology 5.2k
  • Biomedical Engineering 1.8k
  • Spectroscopy 1.6k
  • Materials Chemistry 1.3k
  • Cancer Research 1.2k
Replace Periannan Kuppusamy with:
Periannan Kuppusamy United States
Li Wu China
Tomohiro Sawa Japan
Jefferson Chan United States
Zheng‐Jiang Zhu China
Ying Zhang China
Jingyun Wang China
Richard P. Haugland United States
Haiteng Deng China
Tomasz Róg Finland
Periannan Kuppusamy United States View profile →
Citations per field, relative to Xiaomei Yan
Xiaomei Yan · 1×
Citations per year, relative to Xiaomei Yan
Xiaomei Yan · 1×

Countries citing papers authored by Xiaomei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomei Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomei Yan. A scholar is included among the top collaborators of Xiaomei Yan 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 Xiaomei Yan. Xiaomei Yan 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 13
4 7
5 2
6 20
7 14
8 12
9 26
10 3
11 9
12 1
13 65
14
Mesenchymal stem cell-derived extracellular vesicles for immunomodulation and regeneration: a next generation therapeutic tool? breakdown →
349
15 26
16 44
17 1
18 1
19 1
20 3

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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