Can Hu

2.0k citations
31 papers · 1.6k indexed · 1 hit paper · h-index 18
Topics
Adipose Tissue and Metabolism (10 papers)Chemotherapy-induced cardiotoxicity and mitigation (6 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
Partner nations
China

In The Last Decade

Can Hu

31 papers receiving 1.6k citations

Hit Papers

FNDC5 alleviates oxidative stress and cardiomyocyte apopt...20192026202120232019100200300

Peers

Can Hu
Comparison fields: 5 of 91
  • Molecular Biology 814
  • Cardiology and Cardiovascular Medicine 603
  • Physiology 320
  • Cancer Research 298
  • Epidemiology 221
Replace Chun‐Yan Kong with:
Chun‐Yan Kong China
Si‐Chi Xu China
Qi‐Zhu Tang China
Yu‐Pei Yuan China
Junlian Gu China
David Durrant United States
Rumi Maruyama Japan
Masataka Ikeda Japan
Dongqing Guo China
Can Hu relative to Chun‐Yan Kong China Chun‐Yan Kong's profile →
Citations per field
00.5×1.5×
Chun‐Yan Kong · 1×
Citations per year

Countries citing papers authored by Can Hu

Since Specialization
Citations

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

Fields of papers citing papers by Can Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Can Hu. A scholar is included among the top collaborators of Can Hu 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 Can Hu. Can Hu 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 1
2 1
3 1
4 12
5 6
6 2
7 44
8 14
9 7
10 69
11 98
12 181
13 18
14 23
15
FNDC5 alleviates oxidative stress and cardiomyocyte apoptosis in doxorubicin-induced cardiotoxicity via activating AKTbreakdown →
359
16 217
17 1
18 17
19 39
20 41

About Can Hu

Can Hu is a scholar working on Cardiology and Cardiovascular Medicine, Aging and Physiology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Chemotherapy-induced cardiotoxicity and mitigation (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (603 citations), Cancer Research (298 citations) and Geriatrics and Gerontology (61 citations). Can Hu has collaborated with scholars based in China. Frequent co-authors include Zhen‐Guo Ma, Xin Zhang, Qizhu Tang, Hai‐Ming Wu, Yu‐Pei Yuan, Chun‐Yan Kong, Wenying Wei, Si‐Chi Xu, Lingli Li and Wei Deng. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American College of 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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