H. Wu
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
Papers in
- Epidemiology 13
- Autophagy in Disease and Therapy 12
- Nephrology 10
- Acute Kidney Injury Research 5
- Chronic Kidney Disease and Diabetes 4
- Renal Diseases and Glomerulopathies 3
- Co-authors
- Huafeng Liu (11 shared papers)Wei Jing Liu (6 shared papers)Chen Yang (12 shared papers)Yuan Yuan (1 shared paper)David C. Zawieja (1 shared paper)John H. Tinsley (1 shared paper)Harris J. Granger (1 shared paper)Qingjun Pan (12 shared papers)
- Journals
- Autophagy (2 papers)International Journal of Molecular Sciences (2 papers)Journal of Cellular and Molecular Medicine (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
H. Wu
24 papers receiving 813 citations
Peers
Comparison fields: 5 of 83
- Nephrology 230
- Clinical Biochemistry 81
- Physiology 42
- Epidemiology 248
- Immunology and Allergy 37
Countries citing papers authored by H. Wu
This map shows the geographic impact of H. 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 H. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Wu more than expected).
Fields of papers citing papers by H. Wu
This network shows the impact of papers produced by H. 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 H. Wu. The network helps show where H. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside H. 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 136 | |
| 2 | 2015 | 103 | |
| 3 | 2020 | 80 | |
| 4 | 2015 | 63 | |
| 5 | 2019 | 63 | |
| 6 | 2017 | 57 | |
| 7 | 1998 | 52 | |
| 8 | 2020 | 42 | |
| 9 | 2022 | 32 | |
| 10 | 2004 | 28 | |
| 11 | 2011 | 25 | |
| 12 | 2021 | 21 | |
| 13 | 2024 | 20 | |
| 14 | 2021 | 20 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2024 | 11 | |
| 19 | 2023 | 7 | |
| 20 | 2018 | 6 |
About H. Wu
H. Wu is a scholar working on Epidemiology, Nephrology, Molecular Biology, Pathology and Forensic Medicine and Physiology, having authored 24 papers that have together received 820 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (12 papers), Acute Kidney Injury Research (5 papers), Biomedical Research and Pathophysiology (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (3 papers), Lysosomal Storage Disorders Research (3 papers), Phagocytosis and Immune Regulation (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Nephrology (230 citations), Clinical Biochemistry (81 citations), Physiology (42 citations), Epidemiology (248 citations) and Immunology and Allergy (37 citations). H. Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huafeng Liu, Wei Jing Liu, Chen Yang, Yuan Yuan, David C. Zawieja, John H. Tinsley, Harris J. Granger, Qingjun Pan, Lin Ye and Zhihang Li. Their work appears in journals such as Autophagy, International Journal of Molecular Sciences, Journal of Cellular and Molecular Medicine, American Journal of Physiology-Heart and Circulatory Physiology and Scientific Reports.
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.