Guo Wei
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Nephrology top 1%
- Dialysis and Renal Disease Management
Papers in
- Nephrology 11
- Dialysis and Renal Disease Management 6
- Chronic Kidney Disease and Diabetes 4
- Co-authors
- Scott A. ArmstrongTodd R. GolubJustin LambHaley HieronymusRu WeiKenneth N. RossSteven A. CarrIrene C. Blat
- Journals
- Clinical Journal of the American Society of Nephrology (6 papers)Cancer Cell (3 papers)Journal of Renal Nutrition (2 papers)Diabetes Obesity and Metabolism (2 papers)Journal of the American Society of Nephrology (2 papers)
- Partner nations
- United StatesNetherlands
In The Last Decade
Guo Wei
36 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Computational Theory and Mathematics 1.3k
- Nephrology 453
- Molecular Biology 4.1k
- Cancer Research 647
- Oncology 774
Countries citing papers authored by Guo Wei
This map shows the geographic impact of Guo Wei'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 Guo Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Wei more than expected).
Fields of papers citing papers by Guo Wei
This network shows the impact of papers produced by Guo Wei. 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 Guo Wei. The network helps show where Guo Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo Wei, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 16 | |
| 11 | Blocking circ_0013912 Suppressed Cell Growth, Migration and Invasion of Pancreatic Ductal Adenocarcinoma Cells in vitro and in vivo Partially Through Sponging miR-7-5p | 2020 | 1 |
| 12 | 2018 | 70 | |
| 13 | 2018 | 43 | |
| 14 | 2014 | 57 | |
| 15 | 2012 | 140 | |
| 16 | 2012 | 39 | |
| 17 | 2012 | 18 | |
| 18 | 2011 | 289 | |
| 19 | 2011 | 34 | |
| 20 | 2006 | 385 |
About Guo Wei
Guo Wei is a scholar working on Nephrology, Transplantation, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Complementary and Manual Therapy, having authored 40 papers that have together received 6.2k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (11 papers), Physical Activity and Health (6 papers), Dialysis and Renal Disease Management (6 papers), Diabetes Treatment and Management (5 papers), Nutrition and Health in Aging (5 papers), Diabetes Management and Research (4 papers), Organ Donation and Transplantation (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Nephrology (453 citations), Molecular Biology (4.1k citations), Cancer Research (647 citations) and Oncology (774 citations). Guo Wei has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Scott A. Armstrong, Todd R. Golub, Justin Lamb, Haley Hieronymus, Ru Wei, Kenneth N. Ross, Steven A. Carr, Irene C. Blat, Eric S. Lander and D. D. Peck. Their work appears in journals such as Clinical Journal of the American Society of Nephrology, Cancer Cell, Journal of Renal Nutrition, Diabetes Obesity and Metabolism and Journal of the American Society of Nephrology.
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.