Panxia Wang

1.2k citations
40 papers · 1.0k · h-index 21

Impact in

Papers in

Panxia Wang

39 papers receiving 1.0k citations

Peers

Panxia Wang
Comparison fields: 5 of 81
  • Geriatrics and Gerontology 89
  • Cardiology and Cardiovascular Medicine 254
  • Cancer Research 125
  • Molecular Biology 547
  • Physiology 36
Replace Zhen Guo with:
Zhen Guo China
Rebecca S. Keller United States
Can Hu China
Liang Shao China
Loreta Pia Ciuffreda Italy
Zhang Ping China
Yuehuai Hu China
David Durrant United States
Si‐Chi Xu China
Qiu‐Yue Lin China
Panxia Wang relative to Zhen Guo China Zhen Guo's profile →
Citations per field
00.5×1.6×
Zhen Guo · 1×
Citations per year

Countries citing papers authored by Panxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Panxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 201989
3 202084
4 201850
5 202048
6 202040
7 201738
8 202037
9 201837
10 201937
11 201836
12 202335
13 201935
14 202029
15 201829
16 202028
17 202025
18 201824
19 202024
20 202123

About Panxia Wang

Panxia Wang is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology, Oncology, Molecular Biology and Physiology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chemotherapy-induced cardiotoxicity and mitigation (9 papers), Sirtuins and Resveratrol in Medicine (5 papers), Signaling Pathways in Disease (5 papers), Cardiac Fibrosis and Remodeling (5 papers), PARP inhibition in cancer therapy (5 papers), Autophagy in Disease and Therapy (4 papers), Peptidase Inhibition and Analysis (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Geriatrics and Gerontology (89 citations), Cardiology and Cardiovascular Medicine (254 citations), Cancer Research (125 citations), Molecular Biology (547 citations) and Physiology (36 citations). Panxia Wang has collaborated with scholars based in China and United States. Frequent co-authors include Jing Lü, Yuehuai Hu, Peiqing Liu, Junjian Wang, Jingyan Li, Zhen Guo, Peiqing Liu, Duanping Sun, Sidong Cai and Zhenzhen Li. Their work appears in journals such as Acta Pharmacologica Sinica, Frontiers in Pharmacology, Acta Pharmaceutica Sinica B, Molecular and Cellular Endocrinology and Pharmacological Research.

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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