Xiaoyan Feng

1.7k total citations
106 papers, 1.2k citations indexed

About

Xiaoyan Feng is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Xiaoyan Feng has authored 106 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 20 papers in Biomedical Engineering and 19 papers in Plant Science. Recurrent topics in Xiaoyan Feng's work include Biosensors and Analytical Detection (12 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Hepatitis C virus research (8 papers). Xiaoyan Feng is often cited by papers focused on Biosensors and Analytical Detection (12 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Hepatitis C virus research (8 papers). Xiaoyan Feng collaborates with scholars based in China, Germany and United States. Xiaoyan Feng's co-authors include Hengyi Xu, Martin Lacher, Xiangmin Zhang, Mingxia Gao, Chunhui Deng, Guoyang Xie, Benno Ure, Steffi Mayer, Heqiu Zhang and Ju Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Xiaoyan Feng

93 papers receiving 1.2k citations

Peers

Xiaoyan Feng
Comparison fields: 5 of 164
  • Molecular Biology 395
  • Biomedical Engineering 241
  • Surgery 193
  • Infectious Diseases 180
  • Materials Chemistry 141
Replace Eryvaldo Sócrates Tabosa do Egito with:
Eryvaldo Sócrates Tabosa do Egito Brazil
Rohimah Mohamud Malaysia
Sudip Das India
Shahanavaj Khan Saudi Arabia
Yingying Chen China
Young Wook Choi South Korea
James V. Rogers United States
Ahad Alizadeh Iran
Khalid Muhammad United Arab Emirates
Huiqing Chen China
Eryvaldo Sócrates Tabosa do Egito Brazil View profile →
Citations per field, relative to Xiaoyan Feng
Xiaoyan Feng · 1×
Citations per year, relative to Xiaoyan Feng
Xiaoyan Feng · 1×

Countries citing papers authored by Xiaoyan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Feng. A scholar is included among the top collaborators of Xiaoyan Feng 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 Xiaoyan Feng. Xiaoyan Feng 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 13
2 0
3 4
4 0
5 0
6 10
7 1
8 3
9 8
10 4
11 15
12 7
13 12
14 8
15 102
16 14
17 41
18 31
19 14
20
Hepatitis C infection: a review.
6

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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