Xiaoli Shen

1.3k total citations
35 papers, 736 citations indexed

About

Xiaoli Shen is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Xiaoli Shen has authored 35 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 14 papers in Global and Planetary Change and 11 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Xiaoli Shen's work include Atmospheric chemistry and aerosols (21 papers), Atmospheric aerosols and clouds (13 papers) and Air Quality and Health Impacts (11 papers). Xiaoli Shen is often cited by papers focused on Atmospheric chemistry and aerosols (21 papers), Atmospheric aerosols and clouds (13 papers) and Air Quality and Health Impacts (11 papers). Xiaoli Shen collaborates with scholars based in Germany, China and United States. Xiaoli Shen's co-authors include Dao Huang, Yue Zhao, Zhongming Chen, Harald Saathoff, Claudia Mohr, H. W. Ohm, Wei Huang, Thomas Leisner, Mengya Zhou and Weizhong Lu and has published in prestigious journals such as Environmental Science & Technology, Polymer and Atmospheric Environment.

In The Last Decade

Xiaoli Shen

32 papers receiving 717 citations

Peers

Xiaoli Shen
Comparison fields: 5 of 81
  • Atmospheric Science 388
  • Health, Toxicology and Mutagenesis 264
  • Plant Science 216
  • Cell Biology 154
  • Global and Planetary Change 140
Replace Shalini Gupta with:
Shalini Gupta India
Limin Feng China
Konstantina Vasilatou Switzerland
Noriko Yamamoto Japan
Yuting Zhu China
Karin Whitmore Austria
Xinping Yang China
Anu Heikkilä Finland
Yicheng Shen China
L. Núñez Spain
Shalini Gupta India View profile →
Citations per field, relative to Xiaoli Shen
Xiaoli Shen · 1×
Citations per year, relative to Xiaoli Shen
Xiaoli Shen · 1×

Countries citing papers authored by Xiaoli Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Shen. A scholar is included among the top collaborators of Xiaoli Shen 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 Xiaoli Shen. Xiaoli Shen 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 1
4 1
5 0
6 3
7 5
8 11
9 4
10 1
11 2
12 19
13 9
14 40
15 58
16 15
17 13
18 33
19 74
20 106

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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