Guang‐chou Tu

546 total citations
17 papers, 466 citations indexed

About

Guang‐chou Tu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Guang‐chou Tu has authored 17 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 4 papers in Cancer Research. Recurrent topics in Guang‐chou Tu's work include Alcohol Consumption and Health Effects (7 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Guang‐chou Tu is often cited by papers focused on Alcohol Consumption and Health Effects (7 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Guang‐chou Tu collaborates with scholars based in United States, Chile and Canada. Guang‐chou Tu's co-authors include Yedy Israel, Henry Weiner, Feng Zhou, Feng Zhou, Bhushan Kapur, Biddanda C. Ponnappa, Ya‐Ping Zhang, Qing Cao, Huai‐Rong Luo and Indranil Dey and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Guang‐chou Tu

17 papers receiving 447 citations

Peers

Guang‐chou Tu
Comparison fields: 5 of 76
  • Molecular Biology 277
  • Pathology and Forensic Medicine 140
  • Epidemiology 66
  • Cancer Research 53
  • Physiology 48
Replace Marijana Kopun with:
Marijana Kopun Germany
John J. Noonan United States
Richmond Muimo United Kingdom
Rosa Angélica Castillo‐Rodríguez Mexico
Wengui Yu United States
Magdalena Davidescu Italy
Jeffrey W. Stebbins United States
Yukiko Ueda Japan
Johannes Koch Austria
Yohko Watanabe Japan
Marijana Kopun Germany View profile →
Citations per field, relative to Guang‐chou Tu
Guang‐chou Tu · 1×
Citations per year, relative to Guang‐chou Tu
Guang‐chou Tu · 1×

Countries citing papers authored by Guang‐chou Tu

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐chou Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐chou Tu. 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 Guang‐chou Tu. The network helps show where Guang‐chou Tu may publish in the future.

Co-authorship network of co-authors of Guang‐chou Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐chou Tu. A scholar is included among the top collaborators of Guang‐chou Tu 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 Guang‐chou Tu. Guang‐chou Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 17
2 2
3 13
4 14
5 25
6
In vivo delivery of antisense oligonucleotides in pH-sensitive liposomes inhibits lipopolysaccharide-induced production of tumor necrosis factor-alpha in rats.
30
7 7
8 87
9 8
10 64
11 36
12 9
13 28
14 24
15 34
16 43
17 25

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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2026