Pei‐Wen Wang

6.7k citations
232 papers · 5.3k indexed · h-index 39

Impact in

Papers in

Pei‐Wen Wang

228 papers receiving 5.2k citations

Peers

Pei‐Wen Wang
Comparison fields: 5 of 167
  • Endocrinology, Diabetes and Metabolism 873
  • Clinical Biochemistry 301
  • Geriatrics and Gerontology 118
  • Complementary and alternative medicine 247
  • Cancer Research 431
Replace Letteria Minutoli with:
Letteria Minutoli Italy
Alex F. Chen China
Wei‐Wen Kuo Taiwan
Xin Wang China
Jian‐Mei Li China
Hee‐Sook Jun South Korea
Xiaoyan Shen China
Gregory J. Dusting Australia
Hunjoo Ha South Korea
Yi Tan China
Pei‐Wen Wang relative to Letteria Minutoli Italy Letteria Minutoli's profile →
Citations per field
00.5×1.5×2.5×
Letteria Minutoli · 1×
Citations per year

Countries citing papers authored by Pei‐Wen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Wen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Wen 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 Pei‐Wen Wang. The network helps show where Pei‐Wen Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20241
3 20242
4 20249
5 20244
6 202310
7 202224
8 202216
9 20219
10 20204
11 202033
12 202028
13 201825
14 201612
15 201348
16 201330
17 20115
18 20091
19 200927
20 20011

About Pei‐Wen Wang

Pei‐Wen Wang is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Hepatology, Dermatology and Epidemiology, having authored 232 papers that have together received 5.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (31 papers), Liver Disease Diagnosis and Treatment (18 papers), Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers), Metabolism and Genetic Disorders (15 papers), Thyroid Cancer Diagnosis and Treatment (14 papers), Thyroid Disorders and Treatments (10 papers) and Skin Protection and Aging (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (873 citations), Clinical Biochemistry (301 citations), Geriatrics and Gerontology (118 citations), Complementary and alternative medicine (247 citations) and Cancer Research (431 citations). Pei‐Wen Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Tai‐Long Pan, Tsu‐Kung Lin, Chia‐Wei Liou, Jiin‐Haur Chuang, Jia‐You Fang, Ching‐Jung Hsieh, Hung‐Yu Lin, Shang‐Der Chen, Shao‐Wen Weng and Mao‐Meng Tiao. Their work appears in journals such as International Journal of Molecular Sciences, Cells, PROTEOMICS, Diabetes Research and Clinical Practice and Oxidative Medicine and Cellular Longevity.

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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