Na Guan

1.4k citations
70 papers · 1.1k · h-index 18

Impact in

  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
  • Urology top 5%

Papers in

    • Renal Diseases and Glomerulopathies 20
    • Chronic Kidney Disease and Diabetes 3
    • Ion Transport and Channel Regulation 5

Na Guan

63 papers receiving 1.1k citations

Peers

Na Guan
Comparison fields: 5 of 120
  • Nephrology 243
  • Urology 55
  • Food Science 170
  • Health, Toxicology and Mutagenesis 105
  • Drug Discovery 1
Replace Chao Hu with:
Chao Hu China
Sang Jun Han South Korea
Romuald Champy France
Elangovan Gopal United States
G. H. Cope United Kingdom
Akio Ishida Japan
José Francisco Figueiredo Brazil
Janice Barnes United States
Na Guan relative to Chao Hu China Chao Hu's profile →
Citations per field
00.5×10×
Chao Hu · 1×
Citations per year

Countries citing papers authored by Na Guan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Na Guan Line = papers co-authored together Na Guan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009211
2 2013126
3 201898
4 202047
5 200442
6 200636
7 200334
8 200933
9 201532
10 200425
11 200623
12 200922
13 201422
14 201221
15 201521
16 201119
17 201817
18 201217
19 202016
20 200915

About Na Guan

Na Guan is a scholar working on Nephrology, Molecular Biology, Genetics, Surgery and Food Science, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (20 papers), Genetic and Kidney Cyst Diseases (7 papers), Ion Transport and Channel Regulation (5 papers), Urinary Bladder and Prostate Research (4 papers), Plant Stress Responses and Tolerance (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Reproductive Biology and Fertility (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Nephrology (243 citations), Urology (55 citations), Food Science (170 citations), Health, Toxicology and Mutagenesis (105 citations) and Drug Discovery (1 citation). 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, Sarosh Bejai, Jens Staal, Shinichi Oide, Yong Yao and Jing Miao. Their work appears in journals such as Nephrology Dialysis Transplantation, Pediatric Nephrology, Marine Drugs, Journal of Cellular and Molecular Medicine and Frontiers in Plant Science.

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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