Jun Yong
Impact in
- Immunology top 10%
- Complement system in diseases
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- Venous Thromboembolism Diagnosis and Management
Papers in
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- Blood Coagulation and Thrombosis Mechanisms 5
- Blood groups and transfusion 2
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- Sinusitis and nasal conditions 3
- Co-authors
- Cheng‐Hock Toh (7 shared papers)Guozheng Wang (3 shared papers)Simon Timothy Abrams (3 shared papers)Juan Feng (2 shared papers)Hua Zhang (2 shared papers)Mu Yang (2 shared papers)Yan Wang (1 shared paper)Jianfeng Yao (1 shared paper)
- Journals
- Journal of Thrombosis and Haemostasis (4 papers)Blood (2 papers)British Journal of Haematology (2 papers)Journal of Clinical Investigation (1 paper)Journal of Vascular Surgery (1 paper)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Jun Yong
39 papers receiving 402 citations
Peers
Comparison fields: 5 of 63
- Immunology 163
- Internal Medicine 14
- Speech and Hearing 19
- Otorhinolaryngology 22
- Hematology 48
Countries citing papers authored by Jun Yong
This map shows the geographic impact of Jun Yong'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 Jun Yong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yong more than expected).
Fields of papers citing papers by Jun Yong
This network shows the impact of papers produced by Jun Yong. 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 Jun Yong. The network helps show where Jun Yong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yong, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 131 | |
| 2 | 2023 | 35 | |
| 3 | 2023 | 25 | |
| 4 | 2021 | 23 | |
| 5 | 2017 | 19 | |
| 6 | 2019 | 18 | |
| 7 | 2013 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 5 | |
| 20 | The prevalence of diastolic dysfunction in patients with hypertension referred for echocardiographic assessment of left ventricular function. | 2004 | 4 |
About Jun Yong
Jun Yong is a scholar working on Hematology, Otorhinolaryngology, Immunology, Internal Medicine and Developmental Neuroscience, having authored 41 papers that have together received 408 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (5 papers), Complement system in diseases (3 papers), Sinusitis and nasal conditions (3 papers), Aortic aneurysm repair treatments (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Blood groups and transfusion (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Immunology (163 citations), Internal Medicine (14 citations), Speech and Hearing (19 citations), Otorhinolaryngology (22 citations) and Hematology (48 citations). Jun Yong has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Cheng‐Hock Toh, Guozheng Wang, Simon Timothy Abrams, Juan Feng, Hua Zhang, Mu Yang, Yan Wang, Jianfeng Yao, Xue Zhou and Ping Chen. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Blood, British Journal of Haematology, Journal of Clinical Investigation and Journal of Vascular Surgery.
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.