Dan Cheng

415 total citations
8 papers, 345 citations indexed

About

Dan Cheng is a scholar working on Cardiology and Cardiovascular Medicine, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dan Cheng has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Agronomy and Crop Science and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dan Cheng's work include Viral Infections and Immunology Research (5 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (4 papers). Dan Cheng is often cited by papers focused on Viral Infections and Immunology Research (5 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (4 papers). Dan Cheng collaborates with scholars based in China. Dan Cheng's co-authors include Na Li, Hua‐Ji Qiu, Yuan Sun, Zhao Jian-jun, Changchun Tu, Guangzhi Tong, Zixue Shi, Danfeng Song, Jing‐Zheng Song and Dafei Liu and has published in prestigious journals such as Trends in Food Science & Technology, Journal of Applied Microbiology and Veterinary Microbiology.

In The Last Decade

Dan Cheng

8 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Cheng China 8 171 130 114 84 77 8 345
Ana Isabel de las Heras Spain 12 48 0.3× 208 1.6× 65 0.6× 38 0.5× 118 1.5× 14 554
Eisaburo DEGUCHI Japan 11 89 0.5× 14 0.1× 39 0.3× 54 0.6× 94 1.2× 44 383
Dongjie Cai China 11 49 0.3× 18 0.1× 88 0.8× 44 0.5× 32 0.4× 34 350
Deok-Song Kim South Korea 18 51 0.3× 306 2.4× 103 0.9× 21 0.3× 321 4.2× 28 639
E. Gruys Netherlands 9 104 0.6× 17 0.1× 38 0.3× 29 0.3× 82 1.1× 19 375
Angélica Terezinha Barth Wouters Brazil 10 23 0.1× 22 0.2× 64 0.6× 43 0.5× 76 1.0× 49 353
K. Badiei Iran 10 82 0.5× 23 0.2× 19 0.2× 27 0.3× 51 0.7× 67 366
H Scholz Germany 7 204 1.2× 33 0.3× 13 0.1× 121 1.4× 57 0.7× 22 338
Yeong‐Bin Baek South Korea 13 31 0.2× 119 0.9× 107 0.9× 10 0.1× 152 2.0× 33 375

Countries citing papers authored by Dan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Dan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Cheng

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

All Works

8 of 8 papers shown
1.
Cheng, Dan, et al.. (2020). A review of a potential and promising probiotic candidate— Akkermansia muciniphila. Journal of Applied Microbiology. 130(6). 1813–1822. 88 indexed citations
2.
Cheng, Dan, et al.. (2019). The bidirectional relationship between host physiology and microbiota and health benefits of probiotics: A review. Trends in Food Science & Technology. 91. 426–435. 37 indexed citations
3.
Gu, Li, et al.. (2013). Age-specific Mycoplasma pneumoniae pneumonia-associated myocardial damage in children. Journal of International Medical Research. 41(5). 1716–1723. 12 indexed citations
4.
Sun, Yuan, Dafei Liu, Yu‐Fei Wang, et al.. (2009). Generation and efficacy evaluation of a recombinant adenovirus expressing the E2 protein of classical swine fever virus. Research in Veterinary Science. 88(1). 77–82. 38 indexed citations
5.
Cheng, Dan, Zhao Jian-jun, Na Li, et al.. (2008). Simultaneous detection of Classical swine fever virus and North American genotype Porcine reproductive and respiratory syndrome virus using a duplex real-time RT-PCR. Journal of Virological Methods. 151(2). 194–199. 23 indexed citations
6.
Li, Na, Yuan Sun, Yu Wang, et al.. (2008). Assessment of the cell-mediated immunity induced by alphavirus replicon-vectored DNA vaccines against classical swine fever in a mouse model. Veterinary Immunology and Immunopathology. 129(1-2). 57–65. 13 indexed citations
7.
Li, Yan, Zhao Jian-jun, Na Li, et al.. (2007). A multiplex nested RT-PCR for the detection and differentiation of wild-type viruses from C-strain vaccine of classical swine fever virus. Journal of Virological Methods. 143(1). 16–22. 28 indexed citations
8.
Jian-jun, Zhao, Dan Cheng, Na Li, et al.. (2007). Evaluation of a multiplex real-time RT-PCR for quantitative and differential detection of wild-type viruses and C-strain vaccine of Classical swine fever virus. Veterinary Microbiology. 126(1-3). 1–10. 106 indexed citations

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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