Gang Wei

2.8k total citations
63 papers, 1.7k citations indexed

About

Gang Wei is a scholar working on Physiology, Molecular Biology and Plant Science. According to data from OpenAlex, Gang Wei has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 14 papers in Molecular Biology and 13 papers in Plant Science. Recurrent topics in Gang Wei's work include Adipose Tissue and Metabolism (15 papers), Plant-Microbe Interactions and Immunity (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Gang Wei is often cited by papers focused on Adipose Tissue and Metabolism (15 papers), Plant-Microbe Interactions and Immunity (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Gang Wei collaborates with scholars based in China, United States and South Korea. Gang Wei's co-authors include Joseph W. Kloepper, G. W. Zehnder, Scott A. Enebak, Xiaoxue Yuan, Hyuek Jong Lee, Wanzhu Jin, Tao Hu, S. Tuzun, Meng Dong and Yuanyuan Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Gang Wei

56 papers receiving 1.6k citations

Peers

Gang Wei
Comparison fields: 5 of 114
  • Plant Science 964
  • Molecular Biology 328
  • Cell Biology 250
  • Physiology 237
  • Epidemiology 146
Replace Juan Chen with:
Juan Chen China
Hyun Yang South Korea
Dong Huang China
Anna Maria Rychter Poland
P. S. Mir Canada
Stéphanie Madec France
Kevin A. Cockell Canada
Zhen‐Yong Wang China
Yuji Oka Israel
Juan Chen China View profile →
Citations per field, relative to Gang Wei
Gang Wei · 1×
Citations per year, relative to Gang Wei
Gang Wei · 1×

Countries citing papers authored by Gang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Gang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Wei. A scholar is included among the top collaborators of Gang Wei 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 Gang Wei. Gang Wei 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 0
3 1
4 15
5 2
6 5
7 9
8 3
9 12
10 71
11 13
12 23
13 20
14
Determination and Variation of Triterpenoids Content of Glossy ganoderma Harvested at Different Growth Periods
0
15 5
16
Hydrodynamic characteristics of a submerged pulsating circular cylinder in a two-layer fluid of finite depth
2
17
Protection of Shenchang-diwan on Cerebral Hemorrhage Injury in Rats
1
18
Cloning Whole Cellulose-Synthesizing Operon (ayacs Operon) fromAcetobacter xylinumand Transforming It into Cultivated Cotton Plants
2
19 96
20
Investigations on isolated soft-rot fungi.
1

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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