Yun Wu

940 total citations
35 papers, 791 citations indexed

About

Yun Wu is a scholar working on Molecular Biology, Food Science and Plant Science. According to data from OpenAlex, Yun Wu has authored 35 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Food Science and 6 papers in Plant Science. Recurrent topics in Yun Wu's work include Nicotinic Acetylcholine Receptors Study (12 papers), Receptor Mechanisms and Signaling (8 papers) and Antibiotic Resistance in Bacteria (5 papers). Yun Wu is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (12 papers), Receptor Mechanisms and Signaling (8 papers) and Antibiotic Resistance in Bacteria (5 papers). Yun Wu collaborates with scholars based in China, Australia and United Kingdom. Yun Wu's co-authors include Hua Shi, Jinjin Li, Qingqi Hong, Ying Ju, Quan Zou, Ziyu Lin, Yongsheng Tao, Xingjie Wang, Qing Xu and Maojun Zhou and has published in prestigious journals such as PLoS ONE, ACS Catalysis and Food Chemistry.

In The Last Decade

Yun Wu

34 papers receiving 777 citations

Peers

Yun Wu
Comparison fields: 5 of 105
  • Molecular Biology 432
  • Food Science 297
  • Plant Science 146
  • Cancer Research 92
  • Biochemistry 72
Replace Giselle Tamayo‐Castillo with:
Giselle Tamayo‐Castillo Costa Rica
Marisa Piovano Chile
Debjani Dasgupta India
Cheng-Yang Huang Taiwan
Utpal Chandra De India
Milena Milutinović Serbia
Eun-Hee Park South Korea
Anh Tuấn Lê Vietnam
Bomin Kim South Korea
Seon-Woo Cha South Korea
Giselle Tamayo‐Castillo Costa Rica View profile →
Citations per field, relative to Yun Wu
Yun Wu · 1×
Citations per year, relative to Yun Wu
Yun Wu · 1×

Countries citing papers authored by Yun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Wu. A scholar is included among the top collaborators of Yun Wu 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 Yun Wu. Yun Wu 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 6
4 4
5 26
6 32
7 40
8 18
9 10
10 15
11 9
12 20
13 13
14 39
15 9
16 25
17
Isolation and Identification of Yeasts from Koumiss as a Traditional Kazakh Fermented Drink in Xinjiang
1
18
[A case-control study of environmental and genetic factors and prostate cancer in Guangdong].
9
19 62
20
Advances in fundamental research on Se-containing biomacromolecules in plants
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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