Junnan Wu
Impact in
- Nephrology top 1%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Nephrology 21
- Renal Diseases and Glomerulopathies 12
- Dialysis and Renal Disease Management 5
- Chronic Kidney Disease and Diabetes 4
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- Renal and related cancers 5
- Inflammasome and immune disorders 3
- Co-authors
- David Julian McClements (1 shared paper)Longyuan Mei (1 shared paper)Eric A. Decker (1 shared paper)Katalin Suszták (16 shared papers)Zhihong Liu (6 shared papers)Shaolin Shi (6 shared papers)Ziyuan Ma (8 shared papers)Xiaodong Zhu (5 shared papers)
- Journals
- Journal of Clinical Investigation (5 papers)Journal of the American Society of Nephrology (3 papers)BMC Nephrology (2 papers)Advanced Science (2 papers)Frontiers in Nutrition (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Junnan Wu
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Nephrology 431
- Cancer Research 155
- Biochemistry 57
- Molecular Biology 613
- Food Science 137
Countries citing papers authored by Junnan Wu
This map shows the geographic impact of Junnan 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 Junnan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junnan Wu more than expected).
Fields of papers citing papers by Junnan Wu
This network shows the impact of papers produced by Junnan 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 Junnan Wu. The network helps show where Junnan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junnan 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 221 | |
| 2 | 2013 | 164 | |
| 3 | 2021 | 142 | |
| 4 | 2021 | 103 | |
| 5 | 2015 | 94 | |
| 6 | 2008 | 74 | |
| 7 | 2014 | 70 | |
| 8 | 2021 | 68 | |
| 9 | 2021 | 50 | |
| 10 | 2014 | 47 | |
| 11 | 1998 | 40 | |
| 12 | 2023 | 37 | |
| 13 | 2017 | 32 | |
| 14 | 2023 | 29 | |
| 15 | 2020 | 28 | |
| 16 | 2023 | 27 | |
| 17 | 2017 | 26 | |
| 18 | 1998 | 25 | |
| 19 | 2019 | 21 | |
| 20 | 2024 | 19 |
About Junnan Wu
Junnan Wu is a scholar working on Nephrology, Molecular Biology, Immunology, Epidemiology and Pathology and Forensic Medicine, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (12 papers), Renal and related cancers (5 papers), Dialysis and Renal Disease Management (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Reproductive System and Pregnancy (3 papers), Inflammasome and immune disorders (3 papers), Alcohol Consumption and Health Effects (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Nephrology (431 citations), Cancer Research (155 citations), Biochemistry (57 citations), Molecular Biology (613 citations) and Food Science (137 citations). Junnan Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include David Julian McClements, Longyuan Mei, Eric A. Decker, Katalin Suszták, Zhihong Liu, Shaolin Shi, Ziyuan Ma, Xiaodong Zhu, Chunxia Zheng and Zhaohong Chen. Their work appears in journals such as Journal of Clinical Investigation, Journal of the American Society of Nephrology, BMC Nephrology, Advanced Science and Frontiers in Nutrition.
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.