Wei‐Chieh Huang

1.1k citations
70 papers · 755 indexed · h-index 15

Wei‐Chieh Huang

64 papers receiving 742 citations

Peers

Wei‐Chieh Huang
Comparison fields: 5 of 96
  • Nephrology 60
  • Endocrinology, Diabetes and Metabolism 132
  • Surgery 251
  • Gastroenterology 26
  • Cardiology and Cardiovascular Medicine 71
Replace Chien‐Chia Chen with:
Chien‐Chia Chen Taiwan
Jinxia Chen China
Chongyang Huang China
Chien‐Ming Chen Taiwan
Parag Jain United States
Yanlong Zhang China
Sang Gon Lee South Korea
S Oshima Japan
Jae Min Lee South Korea
Chun‐Chin Chang Taiwan
Wei‐Chieh Huang relative to Chien‐Chia Chen Taiwan Chien‐Chia Chen's profile →
Citations per field
00.5×5.2×
Chien‐Chia Chen · 1×
Citations per year

Countries citing papers authored by Wei‐Chieh Huang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chieh Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20231
5 20234
6 20236
7 20234
8 202235
9 20226
10 20216
11 201911
12 201933
13 201814
14 201520
15 20122
16
Fenofibrate Reversibly Increases Serum Creatinine Level in Chronic Kidney Disease Patients by Reducing Glomerular Filtration Rate
20113
17 201130
18
Lack of Direct Apoptotic Effect of Uric Acid on Renal Epithelial Cells
20081
19 2008165
20 200321

About Wei‐Chieh Huang

Wei‐Chieh Huang is a scholar working on Endocrinology, Diabetes and Metabolism, Computer Networks and Communications and Nephrology, having authored 70 papers that have together received 755 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (14 papers), Advanced Wireless Communication Techniques (13 papers), Adrenal and Paraganglionic Tumors (11 papers), Wireless Communication Networks Research (10 papers), PAPR reduction in OFDM (9 papers), Coronary Interventions and Diagnostics (8 papers), Blood Pressure and Hypertension Studies (6 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers). The work is most often cited by research in Nephrology (60 citations), Endocrinology, Diabetes and Metabolism (132 citations) and Surgery (251 citations). Wei‐Chieh Huang has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Yu‐Chie Chen, Pei‐Jane Tsai, Chih–Peng Li, Hsueh‐Jyh Li, Yen‐Hung Lin, Vin‐Cent Wu, Yung‐Ming Chen, Tse‐Min Lu, Shih‐Chieh Chueh and Ting‐Jia Gu. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Journal of Hypertension, IEEE Transactions on Wireless Communications, Therapeutic Advances in Chronic Disease and Biomedicines.

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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