Na Guan
Impact in
- Nephrology top 2%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Urology top 10%
Papers in
- Nephrology 23
- Renal Diseases and Glomerulopathies 23
- Chronic Kidney Disease and Diabetes 7
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- Ion Transport and Channel Regulation 8
- Co-authors
- Qingfeng Fan (11 shared papers)Jie Ding (16 shared papers)Sainan Zhu (5 shared papers)Christina Dixelius (2 shared papers)Jingjing Zhang (7 shared papers)Shinichi Oide (1 shared paper)Sarosh Bejai (1 shared paper)Jens Staal (1 shared paper)
- Journals
- Pediatric Nephrology (4 papers)Nephrology Dialysis Transplantation (4 papers)Marine Drugs (2 papers)Experimental Biology and Medicine (2 papers)Journal of Cellular and Molecular Medicine (2 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Na Guan
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 124
- Nephrology 264
- Urology 61
- Health, Toxicology and Mutagenesis 130
- Food Science 168
- Molecular Biology 416
Countries citing papers authored by Na Guan
This map shows the geographic impact of Na Guan'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 Na Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Guan more than expected).
Fields of papers citing papers by Na Guan
This network shows the impact of papers produced by Na Guan. 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 Na Guan. The network helps show where Na Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Guan, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 210 | |
| 2 | 2013 | 124 | |
| 3 | 2018 | 97 | |
| 4 | 2020 | 43 | |
| 5 | 2004 | 42 | |
| 6 | 2006 | 35 | |
| 7 | 2003 | 34 | |
| 8 | 2009 | 33 | |
| 9 | 2015 | 32 | |
| 10 | 2004 | 25 | |
| 11 | 2006 | 23 | |
| 12 | 2009 | 22 | |
| 13 | 2014 | 22 | |
| 14 | 2012 | 21 | |
| 15 | 2015 | 20 | |
| 16 | 2011 | 19 | |
| 17 | 2012 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2009 | 15 | |
| 20 | 2009 | 14 |
About Na Guan
Na Guan is a scholar working on Nephrology, Molecular Biology, Genetics, Surgery and Pathology and Forensic Medicine, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (23 papers), Ion Transport and Channel Regulation (8 papers), Genetic and Kidney Cyst Diseases (7 papers), Chronic Kidney Disease and Diabetes (7 papers), Urinary Bladder and Prostate Research (6 papers), Tissue Engineering and Regenerative Medicine (4 papers), Biomedical Research and Pathophysiology (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Nephrology (264 citations), Urology (61 citations), Health, Toxicology and Mutagenesis (130 citations), Food Science (168 citations) and Molecular Biology (416 citations). Na Guan has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Qingfeng Fan, Jie Ding, Sainan Zhu, Christina Dixelius, Jingjing Zhang, Shinichi Oide, Sarosh Bejai, Jens Staal, Jing Miao and Yong Yao. Their work appears in journals such as Pediatric Nephrology, Nephrology Dialysis Transplantation, Marine Drugs, Experimental Biology and Medicine and Journal of Cellular and Molecular Medicine.
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.