Danxia Zhou

934 citations
14 papers · 567 · h-index 10

Impact in

Papers in

    • Muscle Physiology and Disorders 4
    • Metabolism, Diabetes, and Cancer 4
    • Advanced biosensing and bioanalysis techniques 2
    • Fibroblast Growth Factor Research 2
    • Adipose Tissue and Metabolism 6

Danxia Zhou

14 papers receiving 563 citations

Peers

Danxia Zhou
Comparison fields: 5 of 78
  • Physiology 165
  • Rehabilitation 37
  • Geriatrics and Gerontology 19
  • Cancer Research 66
  • Molecular Biology 298
Replace Alessandro Pontoglio with:
Alessandro Pontoglio Italy
Peter M. Burch United States
Michihiro Sakai Japan
Yung‐Wei Lin Taiwan
Т. М. Гринчук Russia
Glen P. Lockwood Australia
Sita Subbaram United States
Olaf Ritzeler Germany
Alexander Polinsky United States
Takuya Kawata Japan
Danxia Zhou relative to Alessandro Pontoglio Italy Alessandro Pontoglio's profile →
Citations per field
00.5×10.1×
Alessandro Pontoglio · 1×
Citations per year

Countries citing papers authored by Danxia Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Danxia Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018108
2 2016100
3 201678
4 201776
5 202262
6 201848
7 202031
8 202218
9 202416
10 202115
11 20245
12 20245
13 20224
14 20251

About Danxia Zhou

Danxia Zhou is a scholar working on Molecular Biology, Physiology, Rehabilitation, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 567 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Muscle Physiology and Disorders (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Muscle metabolism and nutrition (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Exercise and Physiological Responses (2 papers), Fibroblast Growth Factor Research (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Physiology (165 citations), Rehabilitation (37 citations), Geriatrics and Gerontology (19 citations), Cancer Research (66 citations) and Molecular Biology (298 citations). Danxia Zhou has collaborated with scholars based in China and United States. Frequent co-authors include Zhenji Gan, Liwei Xiao, Tingting Fu, Xijun Liang, Min‐Sheng Zhu, Zhisheng Xu, Zong‐Wan Mao, Hao Liang, Jing Yang and Lin Liu. Their work appears in journals such as Advanced Science, Nature Communications, Research, Cell Reports and Journal of Biological Chemistry.

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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