Tian Wu

997 total citations
24 papers, 585 citations indexed

About

Tian Wu is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Tian Wu has authored 24 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Organic Chemistry. Recurrent topics in Tian Wu's work include Extracellular vesicles in disease (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cell death mechanisms and regulation (3 papers). Tian Wu is often cited by papers focused on Extracellular vesicles in disease (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cell death mechanisms and regulation (3 papers). Tian Wu collaborates with scholars based in China, Taiwan and United States. Tian Wu's co-authors include Kenneth D. Paull, Sheng Chu Kuo, Chii M. Lin, Jiansong Fang, Li Gao, Qi Wang, Ling Wang, Shuhuan Fang, Cong Yang and Yunbo Chen and has published in prestigious journals such as Free Radical Biology and Medicine, Journal of Medicinal Chemistry and Molecules.

In The Last Decade

Tian Wu

23 papers receiving 565 citations

Peers

Tian Wu
Comparison fields: 5 of 85
  • Molecular Biology 288
  • Organic Chemistry 190
  • Pharmacology 89
  • Pharmacology 73
  • Computational Theory and Mathematics 57
Replace N. R. Thimmegowda with:
N. R. Thimmegowda India
Hong Ji China
Qing‐Kun Shen China
Konstantina Vougogiannopoulou Greece
Mohammad Hasanain India
Marta Rui Italy
Shwu‐Jiuan Lin Taiwan
Stefan M. Noha Austria
Yeonjoong Yong South Korea
Kongkai Zhu China
N. R. Thimmegowda India View profile →
Citations per field, relative to Tian Wu
Tian Wu · 1×
Citations per year, relative to Tian Wu
Tian Wu · 1×

Countries citing papers authored by Tian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Wu. A scholar is included among the top collaborators of Tian 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 Tian Wu. Tian 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 1
3 5
4 20
5 12
6 17
7 37
8 106
9 18
10 6
11 3
12 13
13 9
14 13
15 7
16 45
17 3
18
Synthesis and Anti-platelet Activity of Ferulamide Derivatives
2
19
Isolation and phytotoxic effects of helvolic acid from plant pathogenic fungus Sarocladium oryzae
30
20 185

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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