Xiaohong Tracey Gan

2.6k citations
42 papers · 2.1k indexed · h-index 21

Xiaohong Tracey Gan

42 papers receiving 2.0k citations

Peers

Xiaohong Tracey Gan
Comparison fields: 5 of 99
  • Cardiology and Cardiovascular Medicine 760
  • Endocrine and Autonomic Systems 146
  • Molecular Biology 1.3k
  • Biological Psychiatry 45
  • Pathology and Forensic Medicine 315
Replace Ángel Cogolludo with:
Ángel Cogolludo Spain
Paul W. Hake United States
Cheng Xue Qin Australia
James A. Snipes United States
Anastasios Lymperopoulos United States
Mengen Zhai China
Kikuo Kasai Japan
Valeria Cozzi Italy
Keshore R. Bidasee United States
Reza Badalzadeh Iran
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Citations per field
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Citations per year

Countries citing papers authored by Xiaohong Tracey Gan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Tracey Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaohong Tracey Gan. 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 Xiaohong Tracey Gan. The network helps show where Xiaohong Tracey Gan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20234
3 202312
4 201710
5 20162
6 20156
7 201419
8 201415
9 201435
10 2014254
11 201320
12 201223
13 20116
14 200917
15 200774
16 200436
17 200320
18 200176
19 199856
20 19967

About Xiaohong Tracey Gan

Xiaohong Tracey Gan is a scholar working on Endocrine and Autonomic Systems, Physiology and Complementary and alternative medicine, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (10 papers), Adipose Tissue and Metabolism (7 papers), Cardiac electrophysiology and arrhythmias (7 papers), Cardiac Ischemia and Reperfusion (7 papers), Traditional Chinese Medicine Analysis (6 papers), Regulation of Appetite and Obesity (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Ion channel regulation and function (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (760 citations), Endocrine and Autonomic Systems (146 citations) and Molecular Biology (1.3k citations). Xiaohong Tracey Gan has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Morris Karmazyn, Venkatesh Rajapurohitam, Hiroyuki Yoshida, Keiji Kusumoto, James V. Haist, Lorrie A. Kirshenbaum, Larry Fliegel, Subrata Chakrabarti, Cathy Huang and Melissa Moey. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Molecular and Cellular Biochemistry, Circulation Heart Failure, American Journal of Physiology-Heart and Circulatory Physiology and PLoS ONE.

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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