Shuping Liang

508 total citations
22 papers, 433 citations indexed

About

Shuping Liang is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Shuping Liang has authored 22 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Plant Science and 2 papers in Immunology. Recurrent topics in Shuping Liang's work include Plant Stress Responses and Tolerance (6 papers), Plant Gene Expression Analysis (6 papers) and Plant Molecular Biology Research (6 papers). Shuping Liang is often cited by papers focused on Plant Stress Responses and Tolerance (6 papers), Plant Gene Expression Analysis (6 papers) and Plant Molecular Biology Research (6 papers). Shuping Liang collaborates with scholars based in China, United States and Denmark. Shuping Liang's co-authors include Ying‐Tang Lu, Russell L. Jones, Luan Sheng, Jörg Kudla, Qiang Xu, Bi‐Feng Liu, Mei Zhang, Lei Zhang, Ying Wang and Ling Wang and has published in prestigious journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY and Biochemical Journal.

In The Last Decade

Shuping Liang

22 papers receiving 426 citations

Peers

Shuping Liang
Comparison fields: 5 of 55
  • Molecular Biology 299
  • Plant Science 287
  • Cell Biology 48
  • Biomedical Engineering 29
  • Ecology, Evolution, Behavior and Systematics 25
Replace Kiichi Fukui with:
Kiichi Fukui Japan
André M. Cordeiro Portugal
Christophe Der France
Piet van Egmond Netherlands
Laura Lorenzo‐Orts Switzerland
Paulo C.G. Ferreira Brazil
Emma Keck Spain
Grzegorz Konert Finland
Álvaro D. Fernández-Fernández Belgium
Antoine Carrasco France
Kiichi Fukui Japan View profile →
Citations per field, relative to Shuping Liang
Shuping Liang · 1×
Citations per year, relative to Shuping Liang
Shuping Liang · 1×

Countries citing papers authored by Shuping Liang

Since Specialization
Citations

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

Fields of papers citing papers by Shuping Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuping Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuping Liang. A scholar is included among the top collaborators of Shuping 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 Shuping Liang. Shuping 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 2
3 1
4 1
5 11
6 21
7 47
8 4
9 38
10 10
11 33
12 19
13 33
14 29
15
Ultracytochemical localization of calcium in rice central cell before and after fertilization
2
16 64
17 7
18 5
19 29
20 68

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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