Kunyi Wu
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Immunology top 10%
- Complement system in diseases
Papers in
- Immunology 10
- Complement system in diseases 3
- Co-authors
- Wuding Zhou (12 shared papers)Ke Li (12 shared papers)Weiju Wu (7 shared papers)Steven H. Sacks (4 shared papers)Bo Cao (11 shared papers)Yumin Xia (6 shared papers)Ning Ma (5 shared papers)Qi Peng (2 shared papers)
- Journals
- Kidney International (4 papers)JCI Insight (3 papers)The FASEB Journal (2 papers)Frontiers in Immunology (2 papers)Industrial Crops and Products (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kunyi Wu
36 papers receiving 656 citations
Peers
Comparison fields: 5 of 114
- Nephrology 91
- Immunology 215
- Transplantation 14
- Cancer Research 73
- Rheumatology 60
Countries citing papers authored by Kunyi Wu
This map shows the geographic impact of Kunyi 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 Kunyi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunyi Wu more than expected).
Fields of papers citing papers by Kunyi Wu
This network shows the impact of papers produced by Kunyi 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 Kunyi Wu. The network helps show where Kunyi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunyi 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 79 | |
| 2 | 2019 | 57 | |
| 3 | 2016 | 54 | |
| 4 | 2012 | 41 | |
| 5 | 2020 | 40 | |
| 6 | 2017 | 39 | |
| 7 | 2017 | 36 | |
| 8 | 2018 | 30 | |
| 9 | 2020 | 26 | |
| 10 | 2019 | 24 | |
| 11 | 2019 | 23 | |
| 12 | 2020 | 22 | |
| 13 | 2023 | 20 | |
| 14 | 2018 | 18 | |
| 15 | 2019 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2023 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2008 | 13 |
About Kunyi Wu
Kunyi Wu is a scholar working on Immunology, Molecular Biology, Epidemiology, Nephrology and Cancer Research, having authored 39 papers that have together received 660 indexed citations. Recurring topics across this work include Urinary Tract Infections Management (6 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Complement system in diseases (3 papers), Escherichia coli research studies (3 papers), NF-κB Signaling Pathways (3 papers), Zoonotic diseases and public health (2 papers), Urinary Bladder and Prostate Research (2 papers) and Machine Fault Diagnosis Techniques (2 papers). The work is most often cited by research in Nephrology (91 citations), Immunology (215 citations), Transplantation (14 citations), Cancer Research (73 citations) and Rheumatology (60 citations). Kunyi Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wuding Zhou, Ke Li, Weiju Wu, Steven H. Sacks, Bo Cao, Yumin Xia, Ning Ma, Qi Peng, Na Wang and Yale Liu. Their work appears in journals such as Kidney International, JCI Insight, The FASEB Journal, Frontiers in Immunology and Industrial Crops and Products.
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.