Chang Yan

650 total citations
18 papers, 501 citations indexed

About

Chang Yan is a scholar working on Epidemiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Chang Yan has authored 18 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Pharmacology. Recurrent topics in Chang Yan's work include Ruminant Nutrition and Digestive Physiology (3 papers), Herpesvirus Infections and Treatments (3 papers) and interferon and immune responses (2 papers). Chang Yan is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (3 papers), Herpesvirus Infections and Treatments (3 papers) and interferon and immune responses (2 papers). Chang Yan collaborates with scholars based in China, South Korea and United States. Chang Yan's co-authors include Xiang Zi Li, Rong‐Rong He, Hiroshi Kurihara, Gaoxing Luo, Jun Deng, Dezhi Shi, Ximu Zhang, Yi-Fang Li, Linsen Zan and Zhuo Luo and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Animal Science.

In The Last Decade

Chang Yan

18 papers receiving 495 citations

Peers

Chang Yan
Comparison fields: 5 of 118
  • Molecular Biology 156
  • Epidemiology 82
  • Immunology 69
  • Rehabilitation 59
  • Biomaterials 48
Mohamed R. Mousa Egypt
Caihong Liu China
N. P. Kurade India
Bocheng Xu China
Soheil Varasteh Netherlands
Xiaohu Wu China
Yifeng Deng China
Mohamed El‐Adl Egypt
Honglin Yan China
Mandy C. Kao Singapore
Mohamed R. Mousa Egypt View profile →
Citations per field, relative to Chang Yan
Chang Yan · 1×
Citations per year, relative to Chang Yan
Chang Yan · 1×

Countries citing papers authored by Chang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Yan. A scholar is included among the top collaborators of Chang 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 Chang Yan. Chang Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 8
2 12
3 66
4 23
5 33
6 24
7 47
8 4
9 40
10 131
11 28
12 30
13 17
14 23
15 5
16
Experimental study of inhibition and prevention effect of Niuhuang Qinggan capsules for H3N2 influenza virus A
1
17 8
18
Use in vivo multiple endpoints assay for studying estrogenicity of endosulfan
1

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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