Junru Wu
Impact in
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- Antiplatelet Therapy and Cardiovascular Diseases
- Atrial Fibrillation Management and Outcomes
- Acute Myocardial Infarction Research
Papers in
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- Single-cell and spatial transcriptomics 3
- Co-authors
- Jingjing Cai (13 shared papers)Yao Lu (10 shared papers)Mengli Zhou (3 shared papers)Xuejing Sun (9 shared papers)Xin Sun (1 shared paper)Hong Yuan (5 shared papers)Bian Wang (1 shared paper)Peng Xu (1 shared paper)
- Journals
- Frontiers in Cardiovascular Medicine (2 papers)IEEE Transactions on Mobile Computing (1 paper)Soil Research (1 paper)Journal of Hepatology (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Junru Wu
21 papers receiving 323 citations
Peers
Comparison fields: 5 of 77
- Cardiology and Cardiovascular Medicine 97
- Critical Care and Intensive Care Medicine 22
- Internal Medicine 13
- Immunology 70
- Biological Psychiatry 7
Countries citing papers authored by Junru Wu
This map shows the geographic impact of Junru 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 Junru Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junru Wu more than expected).
Fields of papers citing papers by Junru Wu
This network shows the impact of papers produced by Junru 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 Junru Wu. The network helps show where Junru Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junru 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 | 2019 | 77 | |
| 2 | 2021 | 68 | |
| 3 | 2020 | 36 | |
| 4 | 2022 | 36 | |
| 5 | 2022 | 21 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2012 | 7 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Junru Wu
Junru Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Epidemiology and Critical Care and Intensive Care Medicine, having authored 24 papers that have together received 327 indexed citations. Recurring topics across this work include Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers), Single-cell and spatial transcriptomics (3 papers), Trauma and Emergency Care Studies (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Immune cells in cancer (3 papers), Immune Cell Function and Interaction (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (97 citations), Critical Care and Intensive Care Medicine (22 citations), Internal Medicine (13 citations), Immunology (70 citations) and Biological Psychiatry (7 citations). Junru Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jingjing Cai, Yao Lu, Mengli Zhou, Xuejing Sun, Xin Sun, Hong Yuan, Bian Wang, Peng Xu, Hong Yuan and Hai Huang. Their work appears in journals such as Frontiers in Cardiovascular Medicine, IEEE Transactions on Mobile Computing, Soil Research, Journal of Hepatology and International Journal of Cardiology.
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.