Lijuan Yuan

5.0k total citations
116 papers, 3.7k citations indexed

About

Lijuan Yuan is a scholar working on Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lijuan Yuan has authored 116 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Infectious Diseases, 50 papers in Animal Science and Zoology and 44 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lijuan Yuan's work include Viral gastroenteritis research and epidemiology (91 papers), Animal Virus Infections Studies (49 papers) and Viral Infections and Immunology Research (44 papers). Lijuan Yuan is often cited by papers focused on Viral gastroenteritis research and epidemiology (91 papers), Animal Virus Infections Studies (49 papers) and Viral Infections and Immunology Research (44 papers). Lijuan Yuan collaborates with scholars based in United States, China and Argentina. Lijuan Yuan's co-authors include Linda J. Saif, Ke Wen, Lucy Ward, Marli S.P. Azevedo, Thanh Long To, Guohua Li, B I Rosen, Jacob Kocher, Tammy Bui and Trang Van Nguyen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Gastroenterology.

In The Last Decade

Lijuan Yuan

112 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lijuan Yuan United States 39 2.5k 1.4k 952 779 450 116 3.7k
Margaret E. Conner United States 39 3.0k 1.2× 1.4k 1.0× 1.3k 1.4× 833 1.1× 198 0.4× 82 4.2k
Anastasia N. Vlasova United States 40 3.8k 1.5× 2.9k 2.1× 774 0.8× 697 0.9× 309 0.7× 106 4.9k
Weiming Zhong United States 30 2.1k 0.8× 1.0k 0.8× 823 0.9× 253 0.3× 260 0.6× 65 3.0k
Jesús Rodríguez‐Díaz Spain 27 1.5k 0.6× 491 0.4× 443 0.5× 529 0.7× 231 0.5× 89 2.4k
Javier Buesa Spain 29 1.8k 0.7× 671 0.5× 661 0.7× 303 0.4× 206 0.5× 104 2.3k
In‐Soo Choi South Korea 34 1.5k 0.6× 799 0.6× 183 0.2× 744 1.0× 544 1.2× 193 3.7k
Peng Tian United States 22 1.5k 0.6× 666 0.5× 492 0.5× 205 0.3× 116 0.3× 52 1.8k
Yuan Qian China 28 1.3k 0.5× 395 0.3× 692 0.7× 366 0.5× 68 0.2× 197 2.5k
Kyoung‐Oh Cho South Korea 28 1.2k 0.5× 813 0.6× 623 0.7× 315 0.4× 89 0.2× 123 2.2k
Shu Zhu China 16 1.2k 0.5× 447 0.3× 307 0.3× 447 0.6× 96 0.2× 33 1.7k

Countries citing papers authored by Lijuan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Lijuan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijuan Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Lijuan Yuan. A scholar is included among the top collaborators of Lijuan Yuan 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 Lijuan Yuan. Lijuan Yuan 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.
Qiu, Suyan, et al.. (2024). Highly selective localized surface plasmon resonance sensor for selenium diagnosis in selenium-rich soybeans. Journal of Hazardous Materials. 478. 135632–135632. 6 indexed citations
2.
Roier, Sandro, Viviana Parreño, Liang Yu, et al.. (2024). mRNA-Based Vaccines Are Highly Immunogenic and Confer Protection in the Gnotobiotic Pig Model of Human Rotavirus Diarrhea. Vaccines. 12(3). 260–260. 3 indexed citations
3.
Yuan, Lijuan, et al.. (2024). Virus Shedding and Diarrhea: A Review of Human Norovirus Genogroup II Infection in Gnotobiotic Pigs. Viruses. 16(9). 1432–1432. 3 indexed citations
4.
5.
Li, Hu, Yajun Zou, Lijuan Yuan, et al.. (2023). Tanshinone IIA and hepatocellular carcinoma: A potential therapeutic drug. Frontiers in Oncology. 13. 1071415–1071415. 16 indexed citations
6.
He, Yawen, Zhiyuan Xu, Xue Zhao, et al.. (2023). Development of Nanobody-Displayed Whole-Cell Biosensors for the Colorimetric Detection of SARS-CoV-2. ACS Applied Materials & Interfaces. 15(31). 37184–37192. 14 indexed citations
7.
Brumfield, Kyle D., Ken Lai, Darryl Falzarano, et al.. (2022). Feasibility of Polyclonal Avian Immunoglobulins (IgY) as Prophylaxis against Human Norovirus Infection. Viruses. 14(11). 2371–2371. 8 indexed citations
8.
9.
Lei, Shaohua, Erica Twitchell, Ashwin Ramesh, et al.. (2019). Enhanced GII.4 human norovirus infection in gnotobiotic pigs transplanted with a human gut microbiota. Journal of General Virology. 100(11). 1530–1540. 13 indexed citations
10.
Wen, Ke, Tammy Bui, Guohua Li, et al.. (2016). B-Cell-Deficient and CD8 T-Cell-Depleted Gnotobiotic Pigs for the Study of Human Rotavirus Vaccine-Induced Protective Immune Responses. Viral Immunology. 29(2). 112–127. 9 indexed citations
11.
Lei, Shaohua, Junghyun Ryu, Ke Wen, et al.. (2016). Increased and prolonged human norovirus infection in RAG2/IL2RG deficient gnotobiotic pigs with severe combined immunodeficiency. Scientific Reports. 6(1). 25222–25222. 74 indexed citations
12.
Gao, Kan, Chong Wang, Li Liu, et al.. (2015). Immunomodulation and signaling mechanism of Lactobacillus rhamnosus GG and its components on porcine intestinal epithelial cells stimulated by lipopolysaccharide. Journal of Microbiology Immunology and Infection. 50(5). 700–713. 91 indexed citations
13.
Liu, Fangning, Guohua Li, Ke Wen, et al.. (2010). Porcine Small Intestinal Epithelial Cell Line (IPEC-J2) of Rotavirus Infection As a New Model for the Study of Innate Immune Responses to Rotaviruses and Probiotics. Viral Immunology. 23(2). 135–149. 124 indexed citations
14.
15.
Wen, Ke, Marli S.P. Azevedo, Ana González, et al.. (2008). Toll-like receptor and innate cytokine responses induced by lactobacilli colonization and human rotavirus infection in gnotobiotic pigs. Veterinary Immunology and Immunopathology. 127(3-4). 304–315. 38 indexed citations
16.
17.
Nguyen, Trang Van, Lijuan Yuan, Marli S.P. Azevedo, et al.. (2005). Low titer maternal antibodies can both enhance and suppress B cell responses to a combined live attenuated human rotavirus and VLP-ISCOM vaccine. Vaccine. 24(13). 2302–2316. 24 indexed citations
18.
Parreño, Viviana, Ariel Vagnozzi, M. Barrandeguy, et al.. (2004). Modulation by colostrum-acquired maternal antibodies of systemic and mucosal antibody responses to rotavirus in calves experimentally challenged with bovine rotavirus. Veterinary Immunology and Immunopathology. 100(1-2). 7–24. 49 indexed citations
19.
Yuan, Lijuan, Shunichi Ishida, Shinjiro Honma, et al.. (2004). Homotypic and Heterotypic Serum Isotype–Specific Antibody Responses to Rotavirus Nonstructural Protein 4 and Viral Protein (VP) 4, VP6, and VP7 in Infants Who Received Selected Live Oral Rotavirus Vaccines. The Journal of Infectious Diseases. 189(10). 1833–1845. 28 indexed citations
20.

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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