Junwu Dong
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Nephrology top 10%
Papers in
- Nephrology 11
- Dialysis and Renal Disease Management 7
- Chronic Kidney Disease and Diabetes 3
- Parathyroid Disorders and Treatments 2
-
- COVID-19 Clinical Research Studies 6
- Co-authors
- Weifeng Shang (5 shared papers)Yuanyuan Li (4 shared papers)Ming Tian (5 shared papers)Yali Ren (3 shared papers)Wěi Li (2 shared papers)Honglan Wei (10 shared papers)Isabel Deisenhofer (1 shared paper)Martin Karch (1 shared paper)
- Journals
- Seminars in Dialysis (3 papers)BMC Nephrology (2 papers)Geospatial health (1 paper)Physiological Research (1 paper)Journal of Medical Virology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Junwu Dong
22 papers receiving 417 citations
Peers
Comparison fields: 5 of 80
- Infectious Diseases 193
- Nephrology 54
- Neurology 96
- Cardiology and Cardiovascular Medicine 116
- Obstetrics and Gynecology 31
Countries citing papers authored by Junwu Dong
This map shows the geographic impact of Junwu Dong'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 Junwu Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwu Dong more than expected).
Fields of papers citing papers by Junwu Dong
This network shows the impact of papers produced by Junwu Dong. 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 Junwu Dong. The network helps show where Junwu Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwu Dong, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 177 | |
| 2 | 2004 | 73 | |
| 3 | 2005 | 28 | |
| 4 | 2013 | 25 | |
| 5 | 2019 | 17 | |
| 6 | 2020 | 14 | |
| 7 | 2021 | 14 | |
| 8 | 2019 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2014 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2018 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2023 | 1 |
About Junwu Dong
Junwu Dong is a scholar working on Nephrology, Infectious Diseases, Neurology, Cardiology and Cardiovascular Medicine and Oncology, having authored 23 papers that have together received 430 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (7 papers), COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (5 papers), COVID-19 and healthcare impacts (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Heart Failure Treatment and Management (2 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (193 citations), Nephrology (54 citations), Neurology (96 citations), Cardiology and Cardiovascular Medicine (116 citations) and Obstetrics and Gynecology (31 citations). Junwu Dong has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weifeng Shang, Yuanyuan Li, Ming Tian, Yali Ren, Wěi Li, Honglan Wei, Isabel Deisenhofer, Martin Karch, Bernhard Zrenner and Jüergen Schreieck. Their work appears in journals such as Seminars in Dialysis, BMC Nephrology, Geospatial health, Physiological Research and Journal of Medical Virology.
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.