Gang Wu

5.9k total citations · 2 hit papers
143 papers, 4.4k citations indexed

About

Gang Wu is a scholar working on Molecular Biology, Materials Chemistry and Pharmacology. According to data from OpenAlex, Gang Wu has authored 143 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 28 papers in Materials Chemistry and 18 papers in Pharmacology. Recurrent topics in Gang Wu's work include Inflammatory mediators and NSAID effects (15 papers), Nitric Oxide and Endothelin Effects (9 papers) and Electrochemical sensors and biosensors (9 papers). Gang Wu is often cited by papers focused on Inflammatory mediators and NSAID effects (15 papers), Nitric Oxide and Endothelin Effects (9 papers) and Electrochemical sensors and biosensors (9 papers). Gang Wu collaborates with scholars based in United States, China and Pakistan. Gang Wu's co-authors include Ah-Lim Tsai, Ah‐Lim Tsai, Vladimír Berka, Dennis S. Charney, Adriana Feder, Richard J. Kulmacz, Joanna J. Kim, Aleksander A. Mathé, Hagit Cohen and James M. Tour and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Gang Wu

138 papers receiving 4.3k citations

Hit Papers

Discriminating α-synuclein strains in P... 2013 2026 2017 2021 2020 2013 100 200 300 400 500

Peers

Gang Wu
Comparison fields: 5 of 188
  • Molecular Biology 1.0k
  • Materials Chemistry 841
  • Neurology 473
  • Physiology 467
  • Clinical Psychology 411
Replace Maiko Fujimori with:
Maiko Fujimori Japan
Dongmei Wang China
Kefeng Li China
Kai Zhang China
Yuan Yuan Wang China
John R. Bartlett Australia
Hao Lei China
Jung‐Jin Kim South Korea
Yuehua Zhang China
Jeffrey Yao United States
Maiko Fujimori Japan View profile →
Citations per field, relative to Gang Wu
Gang Wu · 1×
Citations per year, relative to Gang Wu
Gang Wu · 1×

Countries citing papers authored by Gang Wu

Since Specialization
Citations

This map shows the geographic impact of 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 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 Gang Wu more than expected).

Fields of papers citing papers by Gang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Wu. A scholar is included among the top collaborators of 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 Gang Wu. 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
# Work Indexed citations
1 2
2 3
3 1
4 4
5 1
6 2
7 3
8 5
9 4
10 4
11 1
12 5
13 2
14 20
15 5
16 6
17 18
18 7
19 10
20 138

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026