Danxi Geng

794 citations
17 papers · 377 · 1 hit paper · h-index 8

Impact in

Papers in

    • Blood Pressure and Hypertension Studies 6
    • Cardiovascular Function and Risk Factors 1
    • Ubiquitin and proteasome pathways 1
    • Muscle Physiology and Disorders 1
    • Mitochondrial Function and Pathology 1
    • Cell death mechanisms and regulation 1

Danxi Geng

13 papers receiving 377 citations

Danxi Geng's Hit Papers

α-myosin heavy chain lactylation maintains sarcomeric structure and function and alleviates the development of heart failure 2023 · 181 citations
1810+1+2Years since publication50100150

Peers

Danxi Geng
Comparison fields: 5 of 61
  • Cancer Research 80
  • Cardiology and Cardiovascular Medicine 62
  • Molecular Biology 170
  • Geriatrics and Gerontology 7
  • Clinical Biochemistry 12
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Danxi Geng relative to Emeli Chatterjee United States Emeli Chatterjee's profile →
Citations per field
00.5×1.5×2.3×
Emeli Chatterjee · 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

17 of 17 papers shown
#Work
1
α-myosin heavy chain lactylation maintains sarcomeric structure and function and alleviates the development of heart failure
Hit paper breakdown →
2023181
2 202348
3 202343
4 202428
5 202026
6 202223
7 20249
8 20247
9 20236
10 20252
11 20242
12 20221
13 20251
14 20250
15 20250
16 20240
17 20250

About Danxi Geng

Danxi Geng is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Cancer Research and Computational Theory and Mathematics, having authored 17 papers that have together received 377 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (6 papers), Cancer, Hypoxia, and Metabolism (2 papers), Adipose Tissue and Metabolism (1 paper), Ubiquitin and proteasome pathways (1 paper), Muscle Physiology and Disorders (1 paper), Mitochondrial Function and Pathology (1 paper), Cell death mechanisms and regulation (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Cancer Research (80 citations), Cardiology and Cardiovascular Medicine (62 citations), Molecular Biology (170 citations), Geriatrics and Gerontology (7 citations) and Clinical Biochemistry (12 citations). Danxi Geng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yingxian Sun, Naijin Zhang, Yuanming Zou, Guozhe Sun, Jiaqi Xu, Pengbo Wang, Mengke Liu, Mohan Li, Xinxin Lu and Saien Lu. Their work appears in journals such as BioMed Research International, Journal of Advanced Research, Basic Research in Cardiology, Cell Research and BMC Medicine.

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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