Bing Dai
Impact in
- Nephrology top 2%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Biochemistry top 2%
- Blood transfusion and management
Papers in
- Nephrology 14
- Renal Diseases and Glomerulopathies 6
- Chronic Kidney Disease and Diabetes 4
- Acute Kidney Injury Research 4
- Genetics 12
- Genetic and Kidney Cyst Diseases 11
- Genetic Syndromes and Imprinting 4
- Co-authors
- Changlin Mei (21 shared papers)Lili Fu (7 shared papers)Yawei Liu (10 shared papers)Dongping Chen (3 shared papers)Yiyi Ma (3 shared papers)Rudolf P. Wüthrich (2 shared papers)Qing Yao (1 shared paper)Lijun Sun (1 shared paper)
- Journals
- Gels (3 papers)PLoS ONE (3 papers)BMC Nephrology (2 papers)American Journal of Kidney Diseases (2 papers)Clinical Kidney Journal (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Bing Dai
27 papers receiving 1.1k citations
Bing Dai's Hit Papers
Peers
Comparison fields: 5 of 92
- Nephrology 292
- Biochemistry 213
- Critical Care and Intensive Care Medicine 146
- Internal Medicine 61
- Genetics 359
Countries citing papers authored by Bing Dai
This map shows the geographic impact of Bing Dai'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 Bing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Dai more than expected).
Fields of papers citing papers by Bing Dai
This network shows the impact of papers produced by Bing Dai. 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 Bing Dai. The network helps show where Bing Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Dai, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Treatment of Persistent Gross Hematuria with Tranexamic Acid in Autosomal Dominant Polycystic Kidney Disease Hit paper breakdown → | 2017 | 590 |
| 2 | 2013 | 94 | |
| 3 | 2012 | 65 | |
| 4 | 2010 | 50 | |
| 5 | 2012 | 43 | |
| 6 | 2014 | 29 | |
| 7 | 2011 | 28 | |
| 8 | 2021 | 27 | |
| 9 | 2016 | 26 | |
| 10 | 2005 | 22 | |
| 11 | 2010 | 20 | |
| 12 | 2013 | 14 | |
| 13 | 2014 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2015 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2006 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2007 | 7 | |
| 20 | 2006 | 7 |
About Bing Dai
Bing Dai is a scholar working on Nephrology, Genetics, Molecular Biology, Pathology and Forensic Medicine and Nutrition and Dietetics, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (11 papers), Renal Diseases and Glomerulopathies (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Acute Kidney Injury Research (4 papers), Genetic Syndromes and Imprinting (4 papers), Renal and related cancers (3 papers), Biomedical Research and Pathophysiology (3 papers) and Food composition and properties (3 papers). The work is most often cited by research in Nephrology (292 citations), Biochemistry (213 citations), Critical Care and Intensive Care Medicine (146 citations), Internal Medicine (61 citations) and Genetics (359 citations). Bing Dai has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Changlin Mei, Lili Fu, Yawei Liu, Dongping Chen, Yiyi Ma, Rudolf P. Wüthrich, Qing Yao, Lijun Sun, Rongrong Bian and Lin Li. Their work appears in journals such as Gels, PLoS ONE, BMC Nephrology, American Journal of Kidney Diseases and Clinical Kidney Journal.
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.