Feng-Jun Chang

23 papers receiving 420 citations

Peers

Feng-Jun Chang
Comparison fields: 5 of 66
  • Developmental Neuroscience 28
  • Cardiology and Cardiovascular Medicine 98
  • Emergency Medicine 35
  • Pathology and Forensic Medicine 65
  • Cancer Research 38
Replace Harshini Mudaliar with:
Harshini Mudaliar Australia
Xiaolong Liao China
Zhaofang Yin China
Eugenio Caradonna Italy
Magdi M.I. Yassin United Kingdom
C R B Welbourn United Kingdom
Kwon Sam Kim South Korea
Raphaela P. Kerindongo Netherlands
Lang Li China
Feng-Jun Chang relative to Harshini Mudaliar Australia Harshini Mudaliar's profile →
Citations per field
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Harshini Mudaliar · 1×
Citations per year

Countries citing papers authored by Feng-Jun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Feng-Jun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201158
2 201152
3 201340
4 201940
5 201236
6 201533
7 201227
8 201224
9 201522
10 201421
11
Cardioprotective Effect of Gossypin Against Myocardial Ischemic/Reperfusion in Rats via Alteration of Oxidative Stress, Inflammation and Gut Microbiota
202219
12 202214
13 20219
14 20136
15 20185
16 20174
17 20244
18 20204
19 20223
20 20242

About Feng-Jun Chang

Feng-Jun Chang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 427 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), Cardiovascular Disease and Adiposity (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Coronary Interventions and Diagnostics (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Developmental Neuroscience (28 citations), Cardiology and Cardiovascular Medicine (98 citations), Emergency Medicine (35 citations), Pathology and Forensic Medicine (65 citations) and Cancer Research (38 citations). Feng-Jun Chang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jing‐Song Ou, Zhiping Wang, Xiaolong Liao, Zhi‐Jun Ou, Wenqi Han, Ying-Qi Xu, Guo‐Wei He, Dan Luo, Xi Zhang and Li Fu. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Thoracic and Cardiovascular Surgery, Journal of Cardiovascular Pharmacology, Biochemical and Biophysical Research Communications and International Immunopharmacology.

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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