Ling‐Gang Wu

4.2k citations
56 papers · 3.2k indexed · 1 hit paper · h-index 28
Topics
Cellular transport and secretion (36 papers)Lipid Membrane Structure and Behavior (34 papers)Neuroscience and Neuropharmacology Research (20 papers)

In The Last Decade

Ling‐Gang Wu

53 papers receiving 3.2k citations

Hit Papers

Presynaptic inhibition of elicited neurotransmitter release19972026200620161997100200300400500

Peers

Ling‐Gang Wu
Comparison fields: 5 of 109
  • Molecular Biology 2.1k
  • Cellular and Molecular Neuroscience 2.1k
  • Cell Biology 1.2k
  • Cognitive Neuroscience 510
  • Physiology 286
Replace JeongSeop Rhee with:
JeongSeop Rhee Germany
Jeremy S. Dittman United States
Nobutoshi Harata Japan
Roger Janz United States
Yıldırım Sara Türkiye
Ruud F. Toonen Netherlands
Felix E. Schweizer United States
Vitaly A. Klyachko United States
Anna Fejtová Germany
Clarissa L. Waites United States
Ling‐Gang Wu relative to JeongSeop Rhee Germany JeongSeop Rhee's profile →
Citations per field
00.5×1.6×
JeongSeop Rhee · 1×
Citations per year

Countries citing papers authored by Ling‐Gang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Gang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling‐Gang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Gang Wu. A scholar is included among the top collaborators of Ling‐Gang 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 Ling‐Gang Wu. Ling‐Gang 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
#WorkIndexed citations
1 0
2 1
3 1
4 6
5 18
6 0
7 10
8 11
9 13
10 106
11 32
12 69
13 28
14 58
15 17
16 73
17 82
18 171
19 193
20 257

About Ling‐Gang Wu

Ling‐Gang Wu is a scholar working on Cell Biology, Structural Biology and Cellular and Molecular Neuroscience, having authored 56 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (36 papers), Lipid Membrane Structure and Behavior (34 papers) and Neuroscience and Neuropharmacology Research (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Cell Biology (1.2k citations) and Physiology (171 citations). Ling‐Gang Wu has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Peter Saggau, Xinsheng Wu, Jianyuan Sun, Liming He, J. Gerard G. Borst, Bert Sakmann, Jianyuan Sun, Raja Mohan, Wei Wu and William J. Betz. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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