Chao Yan

1.5k total citations
42 papers, 574 citations indexed

About

Chao Yan is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Chao Yan has authored 42 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Spectroscopy and 10 papers in Biomedical Engineering. Recurrent topics in Chao Yan's work include Analytical Chemistry and Chromatography (11 papers), Chromatography in Natural Products (6 papers) and Microfluidic and Capillary Electrophoresis Applications (6 papers). Chao Yan is often cited by papers focused on Analytical Chemistry and Chromatography (11 papers), Chromatography in Natural Products (6 papers) and Microfluidic and Capillary Electrophoresis Applications (6 papers). Chao Yan collaborates with scholars based in China, United States and United Kingdom. Chao Yan's co-authors include Daniel E. Martire, Zhiqiang Ma, Shu-bo Tian, Weiming Kang, Yakai Huang, Jianchun Yu, Santiago Palacios, Rajani Dinavahi, Evelien Gielen and Xin Ye and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Journal of Physical Chemistry.

In The Last Decade

Chao Yan

38 papers receiving 562 citations

Peers

Chao Yan
Comparison fields: 5 of 104
  • Molecular Biology 162
  • Surgery 159
  • Pulmonary and Respiratory Medicine 128
  • Oncology 93
  • Spectroscopy 88
Replace Ryuichi Kitamura with:
Ryuichi Kitamura Japan
Virginia Kubic United States
Irena Porębska Poland
Reto Cortesi Switzerland
Darius J. Nazir Canada
Axel Buchter Germany
Carol Astbury United Kingdom
Fangfang Chen China
Shigeo Nakajima Japan
Mireia Casulleras Spain
Ryuichi Kitamura Japan View profile →
Citations per field, relative to Chao Yan
Chao Yan · 1×
Citations per year, relative to Chao Yan
Chao Yan · 1×

Countries citing papers authored by Chao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Yan. A scholar is included among the top collaborators of Chao 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 Chao Yan. Chao 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 6
3 4
4 7
5 2
6 3
7 3
8 6
9 1
10 41
11 1
12 75
13 2
14 5
15 0
16 3
17 18
18 77
19
Applications of HACCP Methodology to Pharmaceutical Quality Risk Management
1
20 11

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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