Yuanfa Liu

12.2k total citations · 1 hit paper
357 papers, 9.6k citations indexed

About

Yuanfa Liu is a scholar working on Food Science, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Yuanfa Liu has authored 357 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Food Science, 119 papers in Molecular Biology and 73 papers in Organic Chemistry. Recurrent topics in Yuanfa Liu's work include Proteins in Food Systems (113 papers), Food Chemistry and Fat Analysis (77 papers) and Edible Oils Quality and Analysis (45 papers). Yuanfa Liu is often cited by papers focused on Proteins in Food Systems (113 papers), Food Chemistry and Fat Analysis (77 papers) and Edible Oils Quality and Analysis (45 papers). Yuanfa Liu collaborates with scholars based in China, Malaysia and United States. Yuanfa Liu's co-authors include Jinwei Li, Xingguo Wang, Qingzhe Jin, Zong Meng, Yong‐Jiang Xu, Jianhua Huang, Qiaoli Zhao, Liuping Fan, Zhaojun Zheng and Yong Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Yuanfa Liu

344 papers receiving 9.5k citations

Hit Papers

The effect of non-covalent interaction of chlorogenic aci... 2018 2026 2020 2023 2018 100 200 300

Peers

Yuanfa Liu
Comparison fields: 5 of 153
  • Food Science 4.9k
  • Molecular Biology 2.3k
  • Nutrition and Dietetics 1.6k
  • Organic Chemistry 1.4k
  • Materials Chemistry 1.2k
Replace Xiaoming Zhang with:
Xiaoming Zhang China
Qiang Wang China
Yong Wang China
Xingguo Wang China
Jinwei Li China
Shuqin Xia China
Rosiane Lopes Cunha Brazil
Dongxiao Sun‐Waterhouse China
Wei Liu China
Yacine Hémar New Zealand
Xiaoming Zhang China View profile →
Citations per field, relative to Yuanfa Liu
Yuanfa Liu · 1×
Citations per year, relative to Yuanfa Liu
Yuanfa Liu · 1×

Countries citing papers authored by Yuanfa Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuanfa Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanfa Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanfa Liu. A scholar is included among the top collaborators of Yuanfa 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 Yuanfa Liu. Yuanfa 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 0
2 8
3 1
4 5
5 6
6 12
7 5
8 2
9 5
10 3
11 1
12 2
13 13
14 36
15 3
16 21
17 5
18 1
19 5
20 2

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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