Xing Chang

3.2k citations
56 papers · 2.2k indexed · 7 hit papers · h-index 26
Topics
Mitochondrial Function and Pathology (27 papers)Autophagy in Disease and Therapy (13 papers)Cardiovascular Function and Risk Factors (12 papers)
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Xing Chang

53 papers receiving 2.2k citations

Hit Papers

Coronary microvascular injury in myocardial infarction: p...20212026202220242021202120222022202250100150

Peers

Xing Chang
Comparison fields: 5 of 119
  • Molecular Biology 1.3k
  • Epidemiology 529
  • Cardiology and Cardiovascular Medicine 368
  • Physiology 279
  • Complementary and alternative medicine 208
Replace István Lekli with:
István Lekli Hungary
Weili Shen China
Zheng Yang China
Narasimman Gurusamy United States
Zhuoming Li China
Anil Bhanudas Gaikwad India
Being‐Sun Wung Taiwan
Gnanapragasam Arunachalam India
Ji Hee Lim South Korea
Éva Szabó Hungary
Xing Chang relative to István Lekli Hungary István Lekli's profile →
Citations per field
00.5×6.9×
István Lekli · 1×
Citations per year

Countries citing papers authored by Xing Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xing Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Chang. A scholar is included among the top collaborators of Xing Chang 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 Xing Chang. Xing Chang 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 2
2 1
3 1
4 9
5 4
6 10
7 6
8 11
9 2
10 67
11 11
12 12
13 84
14 37
15 40
16 75
17 92
18 80
19 7
20 18

About Xing Chang

Xing Chang is a scholar working on Geriatrics and Gerontology, Complementary and alternative medicine and Cardiology and Cardiovascular Medicine, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (27 papers), Autophagy in Disease and Therapy (13 papers) and Cardiovascular Function and Risk Factors (12 papers). The work is most often cited by research in Geriatrics and Gerontology (174 citations), Complementary and alternative medicine (208 citations) and Physiology (101 citations). Xing Chang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hao Zhou, Sam Toan, Ruxiu Liu, Hang Zhu, Ruibin Li, Xuanke Guan, Jinfeng Liu, Qiaomin Wu, Yanli Wang and Zhiming Liu. Their work appears in journals such as PLoS ONE, Molecules and Journal of Ethnopharmacology.

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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