Weidong Wang

257 papers receiving 6.3k citations

Weidong Wang's Hit Papers

Cardiorenal syndrome: clinical diagnosis, molecular mechanisms and therapeutic strategies 2025 · 26 citations
260Years since publication510152025

Peers

Weidong Wang
Comparison fields: 5 of 171
  • Nephrology 878
  • Pulmonary and Respiratory Medicine 1.3k
  • Molecular Biology 2.8k
  • Endocrinology, Diabetes and Metabolism 537
  • Health, Toxicology and Mutagenesis 412
Replace Glenda C. Gobé with:
Glenda C. Gobé Australia
Shing‐Hwa Liu Taiwan
Robert J. Unwin United Kingdom
Bin Wang China
Mei Wang China
Gang Liu China
Haitao Zhang China
Toshiaki Nakajima Japan
Lu Cai China
In‐Kyu Lee South Korea
Weidong Wang relative to Glenda C. Gobé Australia Glenda C. Gobé's profile →
Citations per field
00.5×1.6×
Glenda C. Gobé · 1×
Citations per year

Countries citing papers authored by Weidong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weidong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 274 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013285
2 2006158
3 2007148
4 2005125
5 2016125
6 2020118
7 2004116
8 2001107
9 2020103
10 2010101
11 2004100
12 200498
13 202298
14 201796
15 200583
16 200282
17 200877
18 200475
19 200774
20 200174

About Weidong Wang

Weidong Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 274 papers that have together received 6.4k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (57 papers), Electrolyte and hormonal disorders (34 papers), Hormonal Regulation and Hypertension (19 papers), Heart Rate Variability and Autonomic Control (10 papers), Acute Kidney Injury Research (10 papers), Renal function and acid-base balance (10 papers), Ion channel regulation and function (10 papers) and Magnesium in Health and Disease (9 papers). The work is most often cited by research in Nephrology (878 citations), Pulmonary and Respiratory Medicine (1.3k citations), Molecular Biology (2.8k citations), Endocrinology, Diabetes and Metabolism (537 citations) and Health, Toxicology and Mutagenesis (412 citations). Weidong Wang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Chunling Li, Jørgen Frøkiær, Søren Nielsen, Tae‐Hwan Kwon, Mark A. Knepper, Robert W. Schrier, Sandra N. Summer, Sandor Falk, Yuming Huang and Thomas Lufkin. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, The FASEB Journal, Kidney International and Advances in experimental medicine and biology.

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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