Pan Chang

1.4k citations
46 papers · 1.1k · h-index 18

Impact in

Papers in

Pan Chang

43 papers receiving 1.1k citations

Peers

Pan Chang
Comparison fields: 5 of 92
  • Biochemistry 247
  • Endocrine and Autonomic Systems 70
  • Neurology 108
  • Molecular Biology 523
  • Neurology 49
Replace Daniela P. Converso with:
Daniela P. Converso Argentina
Pratap Karki United States
María Delgado‐Esteban Spain
Eric Duplus France
Toru Seo Japan
Hiromichi Takano Japan
Jessica Hui United States
Zhongjie Fu United States
Francesca Frigerio Switzerland
Elma Aflaki United States
Pan Chang relative to Daniela P. Converso Argentina Daniela P. Converso's profile →
Citations per field
00.5×10×20×27×
Daniela P. Converso · 1×
Citations per year

Countries citing papers authored by Pan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Pan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019186
2 2014115
3 2012108
4 201365
5 201363
6 201745
7 201939
8 201937
9 202432
10 201332
11 202330
12 201629
13 201929
14 201925
15 201322
16 201822
17 201522
18 201721
19 201617
20 201515

About Pan Chang

Pan Chang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biochemistry, Pathology and Forensic Medicine and Physiology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (8 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers), Mitochondrial Function and Pathology (5 papers), Cardiovascular Function and Risk Factors (5 papers), Peptidase Inhibition and Analysis (4 papers), Autophagy in Disease and Therapy (4 papers), MicroRNA in disease regulation (4 papers) and Intracerebral and Subarachnoid Hemorrhage Research (3 papers). The work is most often cited by research in Biochemistry (247 citations), Endocrine and Autonomic Systems (70 citations), Neurology (108 citations), Molecular Biology (523 citations) and Neurology (49 citations). Pan Chang has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Mingyang Zhang, Luyang Tao, Haiyan Shan, Wenwen Dong, Xiping Chen, Lang Hu, Xiping Chen, Huishou Zhao, Feng Fu and Bingchao Qi. Their work appears in journals such as Peptides, Forests, Redox Biology, Neurochemical Research and Journal of Molecular Neuroscience.

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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