Su Q. Wang
Impact in
- Nephrology top 1%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
- Nephrology 12
- Renal Diseases and Glomerulopathies 12
- Chronic Kidney Disease and Diabetes 6
- Dialysis and Renal Disease Management 2
- Genetics 4
- Genetic and Kidney Cyst Diseases 4
- Genetic Syndromes and Imprinting 1
- Co-authors
- Roger C. Wiggins (12 shared papers)Larysa Wickman (9 shared papers)Jocelyn Wiggins (6 shared papers)Farsad Afshinnia (6 shared papers)Mahboob Chowdhury (8 shared papers)Jeffrey B. Hodgin (5 shared papers)Akihiro Fukuda (3 shared papers)Ryuzoh Nishizono (4 shared papers)
- Journals
- Journal of the American Society of Nephrology (5 papers)Kidney International (3 papers)Clinical Transplantation (1 paper)Scientific Reports (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesJapanPakistan
In The Last Decade
Su Q. Wang
12 papers receiving 752 citations
Peers
Comparison fields: 5 of 60
- Nephrology 599
- Transplantation 64
- Immunology and Allergy 43
- Genetics 154
- Pediatrics, Perinatology and Child Health 98
Countries citing papers authored by Su Q. Wang
This map shows the geographic impact of Su Q. 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 Su Q. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Q. Wang more than expected).
Fields of papers citing papers by Su Q. Wang
This network shows the impact of papers produced by Su Q. 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 Su Q. Wang. The network helps show where Su Q. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Q. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 155 | |
| 2 | 2012 | 135 | |
| 3 | 2011 | 118 | |
| 4 | 2013 | 106 | |
| 5 | 2017 | 51 | |
| 6 | 2014 | 50 | |
| 7 | 2017 | 50 | |
| 8 | 2016 | 33 | |
| 9 | 2020 | 26 | |
| 10 | 2018 | 19 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 3 |
About Su Q. Wang
Su Q. Wang is a scholar working on Nephrology, Genetics, Molecular Biology, Transplantation and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 753 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (12 papers), Chronic Kidney Disease and Diabetes (6 papers), Genetic and Kidney Cyst Diseases (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Renal and related cancers (3 papers), Dialysis and Renal Disease Management (2 papers), Genetic Syndromes and Imprinting (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Nephrology (599 citations), Transplantation (64 citations), Immunology and Allergy (43 citations), Genetics (154 citations) and Pediatrics, Perinatology and Child Health (98 citations). Su Q. Wang has collaborated with scholars based in United States, Japan and Pakistan. Frequent co-authors include Roger C. Wiggins, Larysa Wickman, Jocelyn Wiggins, Farsad Afshinnia, Mahboob Chowdhury, Jeffrey B. Hodgin, Akihiro Fukuda, Ryuzoh Nishizono, Yan Yang and Madhusudan Venkatareddy. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, Clinical Transplantation, Scientific Reports and PLoS ONE.
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.