Danxi Geng

696 citations
16 papers · 313 · 1 hit paper · h-index 7

Impact in

Papers in

Danxi Geng

13 papers receiving 312 citations

Danxi Geng's Hit Papers

α-myosin heavy chain lactylation maintains sarcomeric structure and function and alleviates the development of heart failure 2023 · 150 citations
1500+1+2Years since publication50100150

Peers

Danxi Geng
Comparison fields: 5 of 60
  • Cancer Research 79
  • Cardiology and Cardiovascular Medicine 78
  • Molecular Biology 174
  • Geriatrics and Gerontology 7
  • Clinical Biochemistry 12
Replace Qiaoqing Zhong with:
Qiaoqing Zhong China
Maoping Chu China
Georg Obermayer Austria
Ankang Lü China
Hongliang Mei China
Lucas Bacmeister Germany
Peipei Luan China
Jingtian Peng China
Svenja Warnke Germany
Danxi Geng relative to Qiaoqing Zhong China Qiaoqing Zhong's profile →
Citations per field
00.5×7.8×
Qiaoqing Zhong · 1×
Citations per year

Countries citing papers authored by Danxi Geng

Since Specialization
Citations

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

Fields of papers citing papers by Danxi Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
α-myosin heavy chain lactylation maintains sarcomeric structure and function and alleviates the development of heart failure
Hit paper breakdown →
2023150
2 202340
3 202336
4 202023
5 202422
6 202222
7 20246
8 20235
9 20245
10 20251
11 20241
12 20221
13 20251
14 20250
15 20250
16 20250

About Danxi Geng

Danxi Geng is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 313 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (9 papers), Cardiovascular Health and Disease Prevention (4 papers), Cardiac Health and Mental Health (3 papers), Cardiovascular Health and Risk Factors (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Acute Ischemic Stroke Management (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Cancer Research (79 citations), Cardiology and Cardiovascular Medicine (78 citations), Molecular Biology (174 citations), Geriatrics and Gerontology (7 citations) and Clinical Biochemistry (12 citations). Danxi Geng has collaborated with scholars based in China. Frequent co-authors include Yingxian Sun, Yuanming Zou, Naijin Zhang, Guozhe Sun, Xinyue Huang, Jiaqi Xu, Pengbo Wang, Jingwei Liu, Ying Zhang and Saien Lu. Their work appears in journals such as Journal of Advanced Research, BioMed Research International, JAMA Network Open, Cell Research and Basic Research in Cardiology.

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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