Yingli Chen

2.0k total citations · 1 hit paper
48 papers, 1.4k citations indexed

About

Yingli Chen is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Yingli Chen has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Agronomy and Crop Science, 35 papers in Cardiology and Cardiovascular Medicine and 19 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Yingli Chen's work include Animal Disease Management and Epidemiology (37 papers), Viral Infections and Immunology Research (35 papers) and Vector-Borne Animal Diseases (19 papers). Yingli Chen is often cited by papers focused on Animal Disease Management and Epidemiology (37 papers), Viral Infections and Immunology Research (35 papers) and Vector-Borne Animal Diseases (19 papers). Yingli Chen collaborates with scholars based in China, Japan and United Kingdom. Yingli Chen's co-authors include Chunfang Zhang, Zhiwei Fang, Xinmin Qiu, Linong Ji, Zhuye Jie, Xiuying Zhang, Zaixin Liu, Huifang Bao, Pu Sun and Xingwen Bai and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Yingli Chen

46 papers receiving 1.4k citations

Hit Papers

Human Gut Microbiota Changes Reveal the Progression of Gl... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingli Chen China 18 797 478 445 338 290 48 1.4k
Mehmet Çitil Türkiye 17 128 0.2× 145 0.3× 139 0.3× 59 0.2× 81 0.3× 84 855
Adam Fitch United States 24 694 0.9× 200 0.4× 43 0.1× 103 0.3× 30 0.1× 41 1.6k
J. Alex Pasternak Canada 18 282 0.4× 145 0.3× 74 0.2× 51 0.2× 15 0.1× 66 1.2k
C. Sweet United States 25 611 0.8× 102 0.2× 125 0.3× 35 0.1× 26 0.1× 60 2.2k
Kien Chai Ong Malaysia 18 419 0.5× 232 0.5× 763 1.7× 20 0.1× 34 0.1× 58 1.4k
Benjamin J. Darien United States 18 220 0.3× 107 0.2× 83 0.2× 42 0.1× 18 0.1× 41 903
Josipa Kuleš Croatia 17 262 0.3× 103 0.2× 16 0.0× 61 0.2× 90 0.3× 67 911
Bertram Flehmig Germany 28 183 0.2× 117 0.2× 535 1.2× 38 0.1× 25 0.1× 91 2.3k
James G. Lecce United States 26 248 0.3× 187 0.4× 75 0.2× 140 0.4× 16 0.1× 70 2.0k
Guohua Li China 23 425 0.5× 51 0.1× 255 0.6× 95 0.3× 13 0.0× 58 1.6k

Countries citing papers authored by Yingli Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yingli Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingli Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yingli Chen. A scholar is included among the top collaborators of Yingli Chen 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 Yingli Chen. Yingli Chen 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
1.
2.
Li, Kun, Guoqiang Zhu, Shasha Zhou, et al.. (2021). Isolation and characterization of porcine monoclonal antibodies revealed two distinct serotype-independent epitopes on VP2 of foot-and-mouth disease virus. Journal of General Virology. 102(7). 5 indexed citations
3.
Li, Pinghua, Xueqing Ma, Xingwen Bai, et al.. (2021). The rescue and selection of thermally stable type O vaccine candidate strains of foot-and-mouth disease virus. Archives of Virology. 166(8). 2131–2140. 3 indexed citations
4.
Li, Pinghua, Xueqing Ma, Xingwen Bai, et al.. (2020). Identification of the largest non-essential regions of the C-terminal portion in 3A protein of foot-and-mouth disease virus for replication in cell culture. Virology Journal. 17(1). 137–137. 1 indexed citations
5.
Li, Kun, Sheng Wang, Yimei Cao, et al.. (2019). Development of Foot-and-Mouth Disease Virus-Neutralizing Monoclonal Antibodies Derived From Plasmablasts of Infected Cattle and Their Germline Gene Usage. Frontiers in Immunology. 10. 286–286. 16 indexed citations
6.
Wu, Tao, Ping He, Wei Wu, Yingli Chen, & Fenglin Lv. (2018). Targeting oncogenic transcriptional corepressor Nac1 POZ domain with conformationally constrained peptides by cyclization and stapling. Bioorganic Chemistry. 80. 1–10. 25 indexed citations
9.
Li, Kun, Huifang Bao, Dong Li, et al.. (2017). Molecular vaccine prepared by fusion of XCL1 to the multi-epitope protein of foot-and-mouth disease virus enhances the specific humoural immune response in cattle. Applied Microbiology and Biotechnology. 101(21). 7889–7900. 7 indexed citations
10.
Cao, Yimei, Dong Li, Yuanfang Fu, et al.. (2017). Rational design and efficacy of a multi-epitope recombinant protein vaccine against foot-and-mouth disease virus serotype A in pigs. Antiviral Research. 140. 133–141. 41 indexed citations
11.
Ma, Xueqing, Pinghua Li, Pu Sun, et al.. (2016). Genome sequence of foot-and-mouth disease virus outside the 3A region is also responsible for virus replication in bovine cells. Virus Research. 220. 64–69. 3 indexed citations
12.
Bai, Xingwen, Pinghua Li, Huifang Bao, et al.. (2015). Influence of Foot-and-Mouth Disease Virus O/CHN/Mya98/33-P Strain Leader Protein on Viral Replication and Host Innate Immunity. Viral Immunology. 28(7). 360–366. 4 indexed citations
13.
Li, Pinghua, Zengjun Lu, Xingwen Bai, et al.. (2014). Evaluation of a 3A-truncated foot-and-mouth disease virus in pigs for its potential as a marker vaccine. Veterinary Research. 45(1). 51–51. 27 indexed citations
15.
Zhang, Xiuying, Zhiwei Fang, Zhuye Jie, et al.. (2013). Human Gut Microbiota Changes Reveal the Progression of Glucose Intolerance. PLoS ONE. 8(8). e71108–e71108. 690 indexed citations breakdown →
16.
Cao, Yimei, Zengjun Lu, Yanli Li, et al.. (2012). Poly(I:C) combined with multi-epitope protein vaccine completely protects against virulent foot-and-mouth disease virus challenge in pigs. Antiviral Research. 97(2). 145–153. 44 indexed citations
17.
Li, Pinghua, Zengjun Lu, Huifang Bao, et al.. (2011). In-vitro and in-vivo phenotype of type Asia 1 foot-and-mouth disease viruses utilizing two non-RGD receptor recognition sites. BMC Microbiology. 11(1). 154–154. 17 indexed citations
18.
Li, Dong, Zaixin Liu, Pu Sun, et al.. (2010). The efficacy of FMD vaccine reduced non-structural proteins with a mAb against 3B protein. Veterinary Research Communications. 34(5). 445–457. 5 indexed citations
19.
Li, Dong, Zengjun Lu, Pu Sun, et al.. (2010). Alternative way to test the efficacy of swine FMD vaccines: measurement of pigs median infected dose (PID50) and regulation of live virus challenge dose. Virology Journal. 7(1). 215–215. 13 indexed citations
20.
Liu, Guangqing, Zaixin Liu, Yingli Chen, et al.. (2004). Generation of an infectious cDNA clone of an FMDV strain isolated from swine. Virus Research. 104(2). 157–164. 24 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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