Chen Tan

4.3k total citations
161 papers, 3.1k citations indexed

About

Chen Tan is a scholar working on Molecular Biology, Infectious Diseases and Endocrinology. According to data from OpenAlex, Chen Tan has authored 161 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 31 papers in Infectious Diseases and 30 papers in Endocrinology. Recurrent topics in Chen Tan's work include Streptococcal Infections and Treatments (29 papers), Escherichia coli research studies (26 papers) and Microbial infections and disease research (22 papers). Chen Tan is often cited by papers focused on Streptococcal Infections and Treatments (29 papers), Escherichia coli research studies (26 papers) and Microbial infections and disease research (22 papers). Chen Tan collaborates with scholars based in China, United States and Belgium. Chen Tan's co-authors include Huanchun Chen, Xiangru Wang, Xiufeng Lin, Huixin Yu, Ruicheng Yang, Guo-xian Cao, Zhengwu Wang, Weicheng Bei, Li Zhang and Jiyang Fu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Chen Tan

153 papers receiving 3.1k citations

Peers

Chen Tan
Comparison fields: 5 of 114
  • Molecular Biology 1.3k
  • Endocrinology 446
  • Microbiology 418
  • Immunology 416
  • Public Health, Environmental and Occupational Health 410
Replace Guoqiang Zhu with:
Guoqiang Zhu China
Liancheng Lei China
Man‐Wah Tan United States
Li Han China
Lu Li China
Xiaobin Li China
Dong‐Kwon Rhee South Korea
Michael U. Shiloh United States
Yan Zhou China
Marc Maresca France
Guoqiang Zhu China View profile →
Citations per field, relative to Chen Tan
Chen Tan · 1×
Citations per year, relative to Chen Tan
Chen Tan · 1×

Countries citing papers authored by Chen Tan

Since Specialization
Citations

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

Fields of papers citing papers by Chen Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Tan. A scholar is included among the top collaborators of Chen Tan 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 Chen Tan. Chen Tan 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 0
3 0
4 1
5 20
6 2
7 19
8 3
9 3
10 6
11 40
12 8
13 6
14 9
15 9
16 28
17 10
18 12
19
A new method to construct the cell microarrays and its application
1
20
[Researching a novel NPC-related candidate suppressor gene BRD7 by two-dimensional gel electrophoresis and MALDI-TOF-MS].
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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