Weifang Liang

460 total citations
23 papers, 292 citations indexed

About

Weifang Liang is a scholar working on Plant Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Weifang Liang has authored 23 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Weifang Liang's work include Plant-Microbe Interactions and Immunity (6 papers), Photosynthetic Processes and Mechanisms (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Weifang Liang is often cited by papers focused on Plant-Microbe Interactions and Immunity (6 papers), Photosynthetic Processes and Mechanisms (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Weifang Liang collaborates with scholars based in China, United States and Iraq. Weifang Liang's co-authors include Haitang He, Kangxian Luo, Yong Yang, Hong Xiao, Zhihua Liu, Lian Zhang, Dingxie Liu, Meiqing Xing, Ruizhi Huang and Xuelong Wu and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Weifang Liang

22 papers receiving 281 citations

Peers

Weifang Liang
Comparison fields: 5 of 66
  • Plant Science 115
  • Molecular Biology 82
  • Animal Science and Zoology 73
  • Infectious Diseases 52
  • Epidemiology 45
Replace Yicheng Lin with:
Yicheng Lin China
Mostafa Ghaderi‐Zefrehei Iran
Yuxin Guo China
Megan Filbin United States
Yafei Chang China
Y. Rasser Switzerland
Ranran Cheng China
Huifang Lv China
Yicheng Lin China View profile →
Citations per field, relative to Weifang Liang
Weifang Liang · 1×
Citations per year, relative to Weifang Liang
Weifang Liang · 1×

Countries citing papers authored by Weifang Liang

Since Specialization
Citations

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

Fields of papers citing papers by Weifang Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weifang Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Weifang Liang. A scholar is included among the top collaborators of Weifang Liang 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 Weifang Liang. Weifang Liang 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 3
2 0
3 2
4 1
5 5
6 26
7 22
8 11
9 9
10 16
11 14
12 2
13 9
14 12
15 11
16 11
17 21
18 37
19
Tissue tropism of the TTV in experimentally infected rhesus monkeys.
7
20 27

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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