Wei‐Ting Chang

3.6k citations
155 papers · 1.9k · h-index 23

Impact in

Papers in

Wei‐Ting Chang

144 papers receiving 1.9k citations

Peers

Wei‐Ting Chang
Comparison fields: 5 of 136
  • Cardiology and Cardiovascular Medicine 738
  • Internal Medicine 63
  • Endocrinology, Diabetes and Metabolism 217
  • Virology 53
  • Toxicology 30
Replace Chin‐Sheng Lin with:
Chin‐Sheng Lin Taiwan
Ola Hammarsten Sweden
Knut Tore Lappegård Norway
Michel R. Langlois Belgium
Hiroko Kobayashi Japan
Takahiro Doi Japan
Elisabeth I. Minder Switzerland
Cyril Mamotte Australia
Kai Kappert Germany
Wei‐Ting Chang relative to Chin‐Sheng Lin Taiwan Chin‐Sheng Lin's profile →
Citations per field
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Chin‐Sheng Lin · 1×
Citations per year

Countries citing papers authored by Wei‐Ting Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ting Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016141
2 202097
3 201577
4 201572
5 202268
6 202057
7 201943
8 202243
9 201743
10 202140
11 202136
12 201635
13 201633
14 202232
15 202032
16 201632
17 201131
18 202129
19 201729
20 202227

About Wei‐Ting Chang

Wei‐Ting Chang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Epidemiology, having authored 155 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (27 papers), Chemotherapy-induced cardiotoxicity and mitigation (16 papers), Cardiac Imaging and Diagnostics (13 papers), Heart Failure Treatment and Management (12 papers), Pulmonary Hypertension Research and Treatments (11 papers), Ion channel regulation and function (11 papers), Venous Thromboembolism Diagnosis and Management (9 papers) and Diabetes Treatment and Management (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (738 citations), Internal Medicine (63 citations), Endocrinology, Diabetes and Metabolism (217 citations), Virology (53 citations) and Toxicology (30 citations). Wei‐Ting Chang has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Zhih‐Cherng Chen, Sheng‐Nan Wu, Chia‐Te Liao, Ping‐Yen Liu, Han Siong Toh, Jhih‐Yuan Shih, Wen‐Liang Yu, Juei‐Tang Cheng, Chung‐Han Ho and Yu‐Wen Lin. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Frontiers in Cardiovascular Medicine, Journal of the American Heart Association and ESC Heart Failure.

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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