Yanying Liu

3.6k total citations
125 papers, 2.2k citations indexed

About

Yanying Liu is a scholar working on Rheumatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Yanying Liu has authored 125 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Rheumatology, 36 papers in Molecular Biology and 35 papers in Epidemiology. Recurrent topics in Yanying Liu's work include IgG4-Related and Inflammatory Diseases (27 papers), Neuroendocrine Tumor Research Advances (22 papers) and Gastrointestinal disorders and treatments (14 papers). Yanying Liu is often cited by papers focused on IgG4-Related and Inflammatory Diseases (27 papers), Neuroendocrine Tumor Research Advances (22 papers) and Gastrointestinal disorders and treatments (14 papers). Yanying Liu collaborates with scholars based in China, United States and Singapore. Yanying Liu's co-authors include Hongmin Wang, Zhanguo Li, Jin‐Song Bian, Shiyao Wang, Jianping Guo, Dong Zhang, Khosrow Rezvani, Xuejun Wang, Fangfang Qiao and Ru Li and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Yanying Liu

119 papers receiving 2.1k citations

Peers

Yanying Liu
Comparison fields: 5 of 119
  • Molecular Biology 901
  • Rheumatology 575
  • Epidemiology 330
  • Surgery 326
  • Physiology 267
Zhongcheng Xin China
Shelly Meeusen United States
Vishwas Paralkar United States
Na Niu China
Juhyun Oh United States
Daniel Grinberg Spain
Claudia Nesti Italy
Grazia M.S. Mancini Netherlands
Yoko Aoki Japan
Ji‐Kan Ryu South Korea
Zhongcheng Xin China View profile →
Citations per field, relative to Yanying Liu
Yanying Liu · 1×
Citations per year, relative to Yanying Liu
Yanying Liu · 1×

Countries citing papers authored by Yanying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yanying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanying Liu. A scholar is included among the top collaborators of Yanying Liu 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 Yanying Liu. Yanying Liu 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 6
2 2
3 2
4 1
5 4
6 1
7 18
8 14
9 23
10 1
11 30
12 20
13
A method of fruit picking robot target identification based on machine vision
4
14 81
15 9
16 53
17 30
18 60
19 15
20 125

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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