Liangxing Wu

1.2k total citations
31 papers, 768 citations indexed

About

Liangxing Wu is a scholar working on Molecular Biology, Oncology and Materials Chemistry. According to data from OpenAlex, Liangxing Wu has authored 31 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Materials Chemistry. Recurrent topics in Liangxing Wu's work include Epigenetics and DNA Methylation (6 papers), Photoreceptor and optogenetics research (4 papers) and Molecular Sensors and Ion Detection (4 papers). Liangxing Wu is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Photoreceptor and optogenetics research (4 papers) and Molecular Sensors and Ion Detection (4 papers). Liangxing Wu collaborates with scholars based in United States, Malaysia and China. Liangxing Wu's co-authors include Kevin Burgess, Aurore Loudet, Rakeshwar Bandichhor, Robert C. Burghardt, Rola Barhoumi, Gerard Marriott, Siang Hui Lim, Hong Boon Lee, Bruce Ruggeri and Wenqing Yao and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Liangxing Wu

30 papers receiving 758 citations

Peers

Liangxing Wu
Comparison fields: 5 of 67
  • Materials Chemistry 459
  • Spectroscopy 233
  • Molecular Biology 221
  • Organic Chemistry 174
  • Biomedical Engineering 131
Replace Laura M. Wysocki with:
Laura M. Wysocki United States
Arturo Jiménez‐Sánchez Mexico
Juan Tang China
Thanh Truc Vu Russia
Erhu Lu China
Anatoliy L. Tatarets Ukraine
Matthew J. Lang United States
Myungkoo Suh South Korea
Charles H. Wolstenholme United States
Jung Ho Yang China
Laura M. Wysocki United States View profile →
Citations per field, relative to Liangxing Wu
Liangxing Wu · 1×
Citations per year, relative to Liangxing Wu
Liangxing Wu · 1×

Countries citing papers authored by Liangxing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Liangxing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangxing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Liangxing Wu. A scholar is included among the top collaborators of Liangxing 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 Liangxing Wu. Liangxing 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 2
2 1
3 2
4 4
5 6
6 1
7 1
8 15
9 13
10 13
11 4
12 11
13 29
14 14
15 44
16 112
17 111
18 55
19 68
20 12

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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