Gang Wang

6.9k citations
205 papers · 4.8k · h-index 41

Impact in

Papers in

    • Cancer-related molecular mechanisms research 30
    • Cancer, Lipids, and Metabolism 21
    • Ferroptosis and cancer prognosis 33
    • Prostate Cancer Treatment and Research 16
    • Renal cell carcinoma treatment 13

Gang Wang

195 papers receiving 4.8k citations

Peers

Gang Wang
Comparison fields: 5 of 123
  • Cancer Research 1.4k
  • Pulmonary and Respiratory Medicine 980
  • Molecular Biology 2.2k
  • Sensory Systems 127
  • Oncology 643
Replace Jie Ding with:
Jie Ding China
Qiong Shi China
Jinliang Xing China
You Mie Lee South Korea
Liang Zhao China
Ling Jing China
Lu Zheng China
Karen L. Block United States
Gang Wang relative to Jie Ding China Jie Ding's profile →
Citations per field
00.5×1.5×2.1×
Jie Ding · 1×
Citations per year

Countries citing papers authored by Gang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gang Wang Line = papers co-authored together Gang Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 205 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019147
2 2008129
3 2018117
4 2016112
5 2016102
6 2021102
7 201798
8 201993
9 202076
10 200975
11 201074
12 201673
13 201871
14 201771
15 201870
16 201660
17 201858
18 201955
19 201854
20 201354

About Gang Wang

Gang Wang is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Oncology, having authored 205 papers that have together received 4.8k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (33 papers), Bladder and Urothelial Cancer Treatments (33 papers), Cancer-related molecular mechanisms research (30 papers), Epigenetics and DNA Methylation (25 papers), Cancer, Lipids, and Metabolism (21 papers), Prostate Cancer Treatment and Research (16 papers), RNA modifications and cancer (13 papers) and Renal cell carcinoma treatment (13 papers). The work is most often cited by research in Cancer Research (1.4k citations), Pulmonary and Respiratory Medicine (980 citations), Molecular Biology (2.2k citations), Sensory Systems (127 citations) and Oncology (643 citations). Gang Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yu Xiao, Xinghuan Wang, Lingao Ju, Kaiyu Qian, Rui Cao, Lushun Yuan, Marianne D. Sadar, Guofeng Qian, Ye Tian and Yongwen Luo. Their work appears in journals such as Frontiers in Oncology, Journal of Cancer, Cancer Cell International, Cell Death and Disease and International Journal of Biological Sciences.

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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