Amanda Chang

891 citations
14 papers · 126 · h-index 7

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism

Papers in

Amanda Chang

10 papers receiving 126 citations

Peers

Amanda Chang
Comparison fields: 5 of 50
  • Aging 23
  • Physiology 48
  • Cardiology and Cardiovascular Medicine 38
  • Health Informatics 2
  • Immunology and Allergy 9
Replace Yufang Bi with:
Yufang Bi China
Carolina Aparicio Spain
Marwan Hamaty United States
Július Gelžinský Czechia
Angielyn R. Rivera United States
Rafael Alexandre Meneguz‐Moreno Brazil
E. Rietzschel Belgium
Ruiye Chen China
Sofia Konstantinidou Greece
Giovanni Marchese Italy
Amanda Chang relative to Yufang Bi China Yufang Bi's profile →
Citations per field
00.5×10×
Yufang Bi · 1×
Citations per year

Countries citing papers authored by Amanda Chang

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201929
2 201827
3 202016
4 202213
5 202111
6 20159
7 20198
8 20216
9 20196
10 20241
11 20250
12 20240
13 20230
14 20250

About Amanda Chang

Amanda Chang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Physiology, Critical Care and Intensive Care Medicine and Neurology, having authored 14 papers that have together received 126 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (4 papers), Takotsubo Cardiomyopathy and Associated Phenomena (3 papers), Adipose Tissue and Metabolism (2 papers), Cardiovascular Function and Risk Factors (2 papers), Ultrasound in Clinical Applications (2 papers), Long-Term Effects of COVID-19 (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Aging (23 citations), Physiology (48 citations), Cardiology and Cardiovascular Medicine (38 citations), Health Informatics (2 citations) and Immunology and Allergy (9 citations). Amanda Chang has collaborated with scholars based in United States, Singapore and Denmark. Frequent co-authors include Kan Liu, Linda Cadaret, Yiren Yue, Kee‐Hong Kim, Weipeng Qi, Peiyi Shen, Yeonhwa Park, Daeyoung Kim, S. Sendhil Velan and Yu Chung Chooi. Their work appears in journals such as European Journal of Clinical Investigation, American Journal of Physiology-Endocrinology and Metabolism, Food & Function, Biomedical Signal Processing and Control and Current Cardiology Reports.

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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