Dan Wang
Impact in
- Nephrology top 1%
- Parathyroid Disorders and Treatments
- Gout, Hyperuricemia, Uric Acid
- Renal Diseases and Glomerulopathies
Papers in
- Nephrology 29
- Gout, Hyperuricemia, Uric Acid 7
- Dialysis and Renal Disease Management 5
- Renal Diseases and Glomerulopathies 5
- Chronic Kidney Disease and Diabetes 5
-
- Cardiovascular Health and Disease Prevention 11
- Co-authors
- Adeel Ahmad (1 shared paper)June Chul Roh (1 shared paper)Youhua Liu (2 shared papers)Yingjian Li (2 shared papers)Chunsun Dai (1 shared paper)Nicholas Ferrell (10 shared papers)Dena B. Dubal (5 shared papers)Fengli Zhang (1 shared paper)
- Journals
- Medicine (3 papers)Oncotarget (2 papers)Matrix Biology (2 papers)Phytomedicine (2 papers)Cell Reports (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan Wang
102 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 160
- Nephrology 434
- Cardiology and Cardiovascular Medicine 252
- Clinical Biochemistry 80
- Biomedical Engineering 391
- Genetics 202
Countries citing papers authored by Dan Wang
This map shows the geographic impact of Dan 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 Dan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wang more than expected).
Fields of papers citing papers by Dan Wang
This network shows the impact of papers produced by Dan 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 Dan Wang. The network helps show where Dan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 240 | |
| 2 | 2018 | 215 | |
| 3 | 2019 | 156 | |
| 4 | 2011 | 136 | |
| 5 | 2017 | 85 | |
| 6 | 2016 | 61 | |
| 7 | 2013 | 55 | |
| 8 | 2022 | 52 | |
| 9 | 2016 | 50 | |
| 10 | 2013 | 48 | |
| 11 | 2020 | 46 | |
| 12 | 2017 | 45 | |
| 13 | 2019 | 42 | |
| 14 | 2021 | 40 | |
| 15 | 2007 | 38 | |
| 16 | 2022 | 36 | |
| 17 | 2017 | 34 | |
| 18 | 2014 | 31 | |
| 19 | 2021 | 31 | |
| 20 | 2023 | 30 |
About Dan Wang
Dan Wang is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Surgery, Biomedical Engineering and Molecular Biology, having authored 110 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (11 papers), Tissue Engineering and Regenerative Medicine (9 papers), Non-Invasive Vital Sign Monitoring (7 papers), Gout, Hyperuricemia, Uric Acid (7 papers), Advanced Glycation End Products research (6 papers), Dialysis and Renal Disease Management (5 papers), Renal Diseases and Glomerulopathies (5 papers) and Chronic Kidney Disease and Diabetes (5 papers). The work is most often cited by research in Nephrology (434 citations), Cardiology and Cardiovascular Medicine (252 citations), Clinical Biochemistry (80 citations), Biomedical Engineering (391 citations) and Genetics (202 citations). Dan Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Adeel Ahmad, June Chul Roh, Youhua Liu, Yingjian Li, Chunsun Dai, Nicholas Ferrell, Dena B. Dubal, Fengli Zhang, Yi Zhang and Mengyang Liu. Their work appears in journals such as Medicine, Oncotarget, Matrix Biology, Phytomedicine and Cell Reports.
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.