Qingming Wu

2.3k citations
71 papers · 1.4k indexed · 1 hit paper · h-index 20

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Qingming Wu

67 papers receiving 1.4k citations

Hit Papers

CircRNA DICAR as a novel endogenous regulator for diabetic cardiomyopathy and diabetic pyroptosis of cardiomyocytes 2023 · 75 citations
752023202620242025255075

Peers

Qingming Wu
Comparison fields: 5 of 142
  • Cancer Research 312
  • Infectious Diseases 379
  • Neurology 181
  • Molecular Biology 593
  • Geriatrics and Gerontology 27
Replace Yuanyuan Fu with:
Yuanyuan Fu China
Luwen Wang China
Xiaoyan Yang China
Kai Meng China
Huaiyong Chen China
Yi‐Juan Hu United States
Guohai Su China
Jun Cheng China
Ashraf Mohamadkhani Iran
Qingming Wu relative to Yuanyuan Fu China Yuanyuan Fu's profile →
Citations per field
00.5×1.5×
Yuanyuan Fu · 1×
Citations per year

Countries citing papers authored by Qingming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qingming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Qingming Wu, 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 Qingming Wu Line = papers co-authored together Qingming Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20240
4 20241
5 20240
6 20236
7
CircRNA DICAR as a novel endogenous regulator for diabetic cardiomyopathy and diabetic pyroptosis of cardiomyocytes
Hit paper breakdown →
202375
8 202269
9 202221
10 20215
11 202132
12 202019
13 2020170
14 202026
15 202019
16 201917
17 201750
18 201561
19 20097
20 20001

About Qingming Wu

Qingming Wu is a scholar working on Toxicology, Cancer Research, Complementary and alternative medicine, Ecological Modeling and Infectious Diseases, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Circular RNAs in diseases (8 papers), COVID-19 Clinical Research Studies (7 papers), Cancer-related molecular mechanisms research (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Gut microbiota and health (6 papers), MicroRNA in disease regulation (5 papers), RNA modifications and cancer (4 papers) and Pancreatitis Pathology and Treatment (4 papers). The work is most often cited by research in Cancer Research (312 citations), Infectious Diseases (379 citations), Neurology (181 citations), Molecular Biology (593 citations) and Geriatrics and Gerontology (27 citations). Qingming Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hui Long, Xiaochen Xiang, Qiang Wang, Hongwei Ren, Qiang Wang, Wanxin Liu, Fei Yao, Lingli Xu, Xiaoqiong Chen and Qiang Wang. Their work appears in journals such as Diversity, Cancer Investigation, BioMed Research International, Journal of Forestry Research and Scientific Reports.

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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