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 6
- Chronic Kidney Disease and Diabetes 4
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- Renal and related cancers 5
- Co-authors
- David Julian McClements (1 shared paper)Eric A. Decker (1 shared paper)Longyuan Mei (1 shared paper)Zhihong Liu (7 shared papers)Katalin Suszták (14 shared papers)Shaolin Shi (6 shared papers)Xiaodong Zhu (5 shared papers)Ziyuan Ma (8 shared papers)
- Journals
- Journal of Clinical Investigation (5 papers)Journal of the American Society of Nephrology (3 papers)Nature Communications (2 papers)BMC Nephrology (2 papers)Frontiers in Nutrition (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Junnan Wu
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Nephrology 451
- Cancer Research 186
- Molecular Biology 670
- Biochemistry 55
- Immunology 161
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 202 | |
| 2 | 2013 | 154 | |
| 3 | 2021 | 135 | |
| 4 | 2021 | 94 | |
| 5 | 2015 | 94 | |
| 6 | 2008 | 70 | |
| 7 | 2014 | 70 | |
| 8 | 2021 | 63 | |
| 9 | 2021 | 50 | |
| 10 | 2014 | 46 | |
| 11 | 1998 | 39 | |
| 12 | 2023 | 34 | |
| 13 | 2017 | 30 | |
| 14 | 2020 | 27 | |
| 15 | 2017 | 26 | |
| 16 | 1998 | 25 | |
| 17 | 2023 | 22 | |
| 18 | 2023 | 22 | |
| 19 | 2019 | 20 | |
| 20 | 2021 | 17 |
About Junnan Wu
Junnan Wu is a scholar working on Nephrology, Molecular Biology, Immunology, Surgery and Epidemiology, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (12 papers), Dialysis and Renal Disease Management (6 papers), Blood Pressure and Hypertension Studies (5 papers), Renal and related cancers (5 papers), Muscle and Compartmental Disorders (4 papers), Reproductive System and Pregnancy (4 papers), Chronic Kidney Disease and Diabetes (4 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Nephrology (451 citations), Cancer Research (186 citations), Molecular Biology (670 citations), Biochemistry (55 citations) and Immunology (161 citations). Junnan Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include David Julian McClements, Eric A. Decker, Longyuan Mei, Zhihong Liu, Katalin Suszták, Shaolin Shi, Xiaodong Zhu, Ziyuan Ma, Chunxia Zheng and Zhaohong Chen. Their work appears in journals such as Journal of Clinical Investigation, Journal of the American Society of Nephrology, Nature Communications, BMC Nephrology 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.