Leonard L. Wu
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
-
- Renin-Angiotensin System Studies
- Blood Pressure and Hypertension Studies
Papers in
-
- Renin-Angiotensin System Studies 6
- Blood Pressure and Hypertension Studies 2
-
- TGF-β signaling in diseases 2
- Co-authors
- Mark E. Cooper (9 shared papers)Alison J. Cox (7 shared papers)Richard E. Gilbert (5 shared papers)Darren J. Kelly (5 shared papers)Jennifer L. Wilkinson‐Berka (3 shared papers)M. Jane Black (1 shared paper)Henry Yu (1 shared paper)Colin I. Johnston (1 shared paper)
- Journals
- Kidney International (3 papers)Carcinogenesis (3 papers)Journal of Hypertension (2 papers)Hypertension (2 papers)Journal of Hepatology (1 paper)
- Partner nations
- AustraliaUnited KingdomSwitzerland
In The Last Decade
Leonard L. Wu
16 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Nephrology 315
- Cardiology and Cardiovascular Medicine 499
- Nutrition and Dietetics 292
- Endocrinology, Diabetes and Metabolism 294
- Hepatology 114
Countries citing papers authored by Leonard L. Wu
This map shows the geographic impact of Leonard L. Wu'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 Leonard L. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard L. Wu more than expected).
Fields of papers citing papers by Leonard L. Wu
This network shows the impact of papers produced by Leonard L. Wu. 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 Leonard L. Wu. The network helps show where Leonard L. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Leonard L. Wu, 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 | 1998 | 292 | |
| 2 | 2008 | 191 | |
| 3 | 1997 | 189 | |
| 4 | Vascular endothelial growth factor and its receptors in control and diabetic rat eyes. | 1998 | 162 |
| 5 | 2001 | 129 | |
| 6 | 1999 | 112 | |
| 7 | 1994 | 108 | |
| 8 | 2000 | 80 | |
| 9 | 2000 | 79 | |
| 10 | 1998 | 78 | |
| 11 | 1999 | 68 | |
| 12 | 1995 | 36 | |
| 13 | 1998 | 26 | |
| 14 | 2014 | 8 | |
| 15 | 1997 | 6 | |
| 16 | 1995 | 5 |
About Leonard L. Wu
Leonard L. Wu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Nephrology, Nutrition and Dietetics and Epidemiology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (6 papers), Selenium in Biological Systems (4 papers), Chronic Kidney Disease and Diabetes (4 papers), TGF-β signaling in diseases (2 papers), Renal Diseases and Glomerulopathies (2 papers), Blood Pressure and Hypertension Studies (2 papers), Glaucoma and retinal disorders (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Nephrology (315 citations), Cardiology and Cardiovascular Medicine (499 citations), Nutrition and Dietetics (292 citations), Endocrinology, Diabetes and Metabolism (294 citations) and Hepatology (114 citations). Leonard L. Wu has collaborated with scholars based in Australia, United Kingdom and Switzerland. Frequent co-authors include Mark E. Cooper, Alison J. Cox, Richard E. Gilbert, Darren J. Kelly, Jennifer L. Wilkinson‐Berka, M. Jane Black, Henry Yu, Colin I. Johnston, Louise M. Burrell and Rodney J. Dilley. Their work appears in journals such as Kidney International, Carcinogenesis, Journal of Hypertension, Hypertension and Journal of Hepatology.
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.