Ping H. Wang

3.2k citations
51 papers · 1.9k · h-index 26

Impact in

Papers in

Ping H. Wang

50 papers receiving 1.9k citations

Peers

Ping H. Wang
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 525
  • Molecular Biology 1.1k
  • Endocrinology, Diabetes and Metabolism 261
  • Pathology and Forensic Medicine 276
  • Aging 23
Replace Rüdiger von Harsdorf with:
Rüdiger von Harsdorf Germany
Bo Ding China
Lei Cui China
Elena N. Dedkova United States
Qiangrong Liang United States
Marjorie Akers United States
Marie‐Hélène Séguélas France
Suresh S. Palaniyandi United States
Shinichi Hirotani Japan
Gerald D. Frank United States
Ping H. Wang relative to Rüdiger von Harsdorf Germany Rüdiger von Harsdorf's profile →
Citations per field
00.5×3.3×
Rüdiger von Harsdorf · 1×
Citations per year

Countries citing papers authored by Ping H. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ping H. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping H. 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 Ping H. Wang. The network helps show where Ping H. Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998243
2 2000119
3 200297
4 199893
5 199981
6 200372
7 200068
8 201362
9 200562
10
Skeletal muscle mitochondrial depletion and dysfunction in chronic kidney disease.
201356
11 200352
12 199952
13 200951
14 199848
15 200545
16 201542
17 201341
18 200338
19 200138
20 200536

About Ping H. Wang

Ping H. Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Cancer Research and Pathology and Forensic Medicine, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (11 papers), Metabolism, Diabetes, and Cancer (9 papers), Adipose Tissue and Metabolism (9 papers), Cardiovascular Function and Risk Factors (7 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Pancreatic function and diabetes (4 papers), Heat shock proteins research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (525 citations), Molecular Biology (1.1k citations), Endocrinology, Diabetes and Metabolism (261 citations), Pathology and Forensic Medicine (276 citations) and Aging (23 citations). Ping H. Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Lei Wang, Jaw‐Wen Chen, Yumay Chen, Tsun-Jui Liu, Chih-Tai Ting, Yuexin Shan, Ole Saetrum Opgaard, Jiaying Yang, Wen-Lieng Lee and Hui‐Chin Lai. Their work appears in journals such as Circulation Research, Journal of Biological Chemistry, Endocrinology, Diabetes and Journal of Molecular and Cellular Cardiology.

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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