Gang Cheng

8.3k citations
185 papers · 6.5k indexed · 2 hit papers · h-index 36
Topics
Cancer, Hypoxia, and Metabolism (10 papers)Computational Drug Discovery Methods (10 papers)Medical Imaging Techniques and Applications (10 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Gang Cheng

168 papers receiving 6.4k citations

Hit Papers

Mitochondria-Targeted Triphenylphosphonium-Based Com...2011202620162021201720114008001.2k

Peers

Gang Cheng
Comparison fields: 5 of 151
  • Molecular Biology 2.4k
  • Oncology 1.3k
  • Biomedical Engineering 1.0k
  • Organic Chemistry 872
  • Materials Chemistry 835
Replace Yan Luo with:
Yan Luo China
Jérôme Alexandre France
Kevin H. Mayo United States
Gillian M. Tozer United Kingdom
Ludwig J. Dubois Netherlands
Min Huang China
Hang Zhang China
Michael Schäfers Germany
Shengyong Yang China
Danuta S. Kalinowski Australia
Gang Cheng relative to Yan Luo China Yan Luo's profile →
Citations per field
00.5×1.5×2.0×
Yan Luo · 1×
Citations per year

Countries citing papers authored by Gang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Gang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Cheng. A scholar is included among the top collaborators of Gang Cheng 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 Cheng. Gang Cheng 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
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 0
6 1
7 5
8 6
9 1
10 13
11 2
12 13
13 47
14 0
15 2
16 5
17 4
18 6
19 28
20
A phase III, double-blind, placebo-controlled study (RAISE) of eltrombopag for the treatment of chronic idiopathic thrombocytopenic purpura (ITP)
2

About Gang Cheng

Gang Cheng is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 185 papers that have together received 6.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (10 papers), Computational Drug Discovery Methods (10 papers) and Medical Imaging Techniques and Applications (10 papers). The work is most often cited by research in Oncology (1.3k citations), Cell Biology (679 citations) and Cancer Research (569 citations). Gang Cheng has collaborated with scholars based in China, United States and France. Frequent co-authors include Balaraman Kalyanaraman, Jacek Zielonka, Micaël Hardy, Olivier Ouari, Joy Joseph, Lance L. Munn, Rakesh K. Jain, Marcos López, Adam Sikora and Janet M. Tse. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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