Guanghu Wang

3.5k total citations
48 papers, 2.7k citations indexed

About

Guanghu Wang is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Guanghu Wang has authored 48 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 11 papers in Physiology and 7 papers in Cell Biology. Recurrent topics in Guanghu Wang's work include Sphingolipid Metabolism and Signaling (20 papers), Lipid Membrane Structure and Behavior (9 papers) and Extracellular vesicles in disease (6 papers). Guanghu Wang is often cited by papers focused on Sphingolipid Metabolism and Signaling (20 papers), Lipid Membrane Structure and Behavior (9 papers) and Extracellular vesicles in disease (6 papers). Guanghu Wang collaborates with scholars based in United States, China and India. Guanghu Wang's co-authors include Erhard Bieberich, Michael B. Dinkins, Somsankar Dasgupta, Gu Zhu, Kannan Krishnamurthy, Jeane Silva, Qian He, Nahid F. Mivechi, Brian G. Condie and Demetrius Moskophidis and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Guanghu Wang

47 papers receiving 2.7k citations

Peers

Guanghu Wang
Comparison fields: 5 of 110
  • Molecular Biology 2.3k
  • Physiology 492
  • Cancer Research 473
  • Cell Biology 412
  • Neurology 336
Replace Michał Dąbrowski with:
Michał Dąbrowski Poland
Joyce Tombran‐Tink United States
Paola Giussani Italy
Petra May Germany
María‐Paz Marzolo Chile
Sarah K. Bronson United States
Naihe Jing China
Veronica MacLeod United States
Chun Cheng China
Kazunori Akimoto Japan
Michał Dąbrowski Poland View profile →
Citations per field, relative to Guanghu Wang
Guanghu Wang · 1×
Citations per year, relative to Guanghu Wang
Guanghu Wang · 1×

Countries citing papers authored by Guanghu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guanghu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanghu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guanghu Wang. A scholar is included among the top collaborators of Guanghu Wang 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 Guanghu Wang. Guanghu Wang 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 54
3 42
4 70
5 196
6 30
7 382
8 62
9 47
10 300
11 19
12 49
13 45
14 7
15 39
16 56
17 56
18 131
19 98
20 122

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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