Kang-Ling Wang

5.8k citations
47 papers · 2.6k indexed · h-index 28

Kang-Ling Wang

46 papers receiving 2.5k citations

Peers

Kang-Ling Wang
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 2.0k
  • Internal Medicine 289
  • Nephrology 107
  • Epidemiology 420
  • Endocrinology, Diabetes and Metabolism 193
Replace Faye L. Lopez with:
Faye L. Lopez United States
Faye L. Norby United States
Konstantinos Vemmos Greece
Paul Chang United States
Tze‐Fan Chao Taiwan
Domenico Scrutinio Italy
Saverio Iacopino Italy
Shih‐Hsien Sung Taiwan
Loredana Poggesi Italy
Carlo Rostagno Italy
Kang-Ling Wang relative to Faye L. Lopez United States Faye L. Lopez's profile →
Citations per field
00.5×1.7×
Faye L. Lopez · 1×
Citations per year

Countries citing papers authored by Kang-Ling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kang-Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang-Ling Wang. 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 Kang-Ling Wang. The network helps show where Kang-Ling Wang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202115
2 20204
3 201610
4 20166
5 20167
6 201611
7 201579
8 2015187
9 201547
10 201565
11 20142
12 201375
13 201312
14 201335
15 201227
16 201219
17 201217
18 201124
19 201046
20 2009314

About Kang-Ling Wang

Kang-Ling Wang is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Family Practice, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (19 papers), Cardiac Arrhythmias and Treatments (10 papers), Blood Pressure and Hypertension Studies (9 papers), Acute Ischemic Stroke Management (8 papers), Cardiovascular Health and Disease Prevention (8 papers), Heart Rate Variability and Autonomic Control (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Internal Medicine (289 citations) and Nephrology (107 citations). Kang-Ling Wang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Tzeng‐Ji Chen, Chia‐Jen Liu, Yenn‐Jiang Lin, Yu‐Feng Hu, Ta‐Chuan Tuan, Shih‐Lin Chang, Su-Jung Chen, Pesus Chou, Hao‐Min Cheng and Shao‐Yuan Chuang. Their work appears in journals such as International Journal of Cardiology, Canadian Journal of Cardiology, Journal of Hypertension, Journal of the American College of Cardiology and Hypertension.

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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