Yuan Gui
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Renal Diseases and Glomerulopathies
- Physiology top 10%
Papers in
-
- Renal and related cancers 6
- 14-3-3 protein interactions 2
- Nephrology 12
- Chronic Kidney Disease and Diabetes 7
- Dialysis and Renal Disease Management 4
- Acute Kidney Injury Research 4
- Renal Diseases and Glomerulopathies 4
- Co-authors
- Chunsun Dai (13 shared papers)Junwei Yang (9 shared papers)Weichun He (9 shared papers)Qingmiao Lu (8 shared papers)Feng Ye (7 shared papers)Jiafa Ren (6 shared papers)Xian Xue (6 shared papers)Bingyan Shu (4 shared papers)
- Journals
- Scientific Reports (3 papers)Journal of Biological Chemistry (3 papers)Cellular Signalling (2 papers)Arthritis Research & Therapy (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yuan Gui
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Nephrology 235
- Physiology 44
- Immunology 181
- Molecular Biology 552
- Pathology and Forensic Medicine 124
Countries citing papers authored by Yuan Gui
This map shows the geographic impact of Yuan Gui'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 Yuan Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Gui more than expected).
Fields of papers citing papers by Yuan Gui
This network shows the impact of papers produced by Yuan Gui. 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 Yuan Gui. The network helps show where Yuan Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuan Gui, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 210 | |
| 2 | 2016 | 134 | |
| 3 | 2018 | 115 | |
| 4 | 2017 | 76 | |
| 5 | 2014 | 67 | |
| 6 | 2016 | 63 | |
| 7 | 2018 | 60 | |
| 8 | 2020 | 53 | |
| 9 | 2021 | 49 | |
| 10 | 2020 | 44 | |
| 11 | 2023 | 38 | |
| 12 | 2015 | 37 | |
| 13 | 2019 | 36 | |
| 14 | 2011 | 32 | |
| 15 | 2018 | 32 | |
| 16 | 2017 | 29 | |
| 17 | 2014 | 28 | |
| 18 | 2019 | 27 | |
| 19 | 2018 | 27 | |
| 20 | 2020 | 27 |
About Yuan Gui
Yuan Gui is a scholar working on Molecular Biology, Nephrology, Pathology and Forensic Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (7 papers), Renal and related cancers (6 papers), Dialysis and Renal Disease Management (4 papers), Acute Kidney Injury Research (4 papers), Renal Diseases and Glomerulopathies (4 papers), Biomedical Research and Pathophysiology (3 papers), Vasculitis and related conditions (2 papers) and 14-3-3 protein interactions (2 papers). The work is most often cited by research in Nephrology (235 citations), Physiology (44 citations), Immunology (181 citations), Molecular Biology (552 citations) and Pathology and Forensic Medicine (124 citations). Yuan Gui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chunsun Dai, Junwei Yang, Weichun He, Qingmiao Lu, Feng Ye, Jiafa Ren, Xian Xue, Bingyan Shu, Xiaoli Sun and Wei Wei. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, Cellular Signalling, Arthritis Research & Therapy and BMC Bioinformatics.
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.