Yun Long
Impact in
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- Intensive Care Unit Cognitive Disorders
- Ultrasound in Clinical Applications
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- Respiratory Support and Mechanisms
Papers in
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- Respiratory Support and Mechanisms 36
- Neonatal Respiratory Health Research 5
- Epidemiology 19
- Sepsis Diagnosis and Treatment 16
- Co-authors
- Huaiwu He (50 shared papers)Longxiang Su (36 shared papers)Zhanqi Zhao (23 shared papers)Yi Chi (25 shared papers)Dawei Liu (15 shared papers)Xiang Zhou (24 shared papers)Siyi Yuan (22 shared papers)Inéz Frerichs (11 shared papers)
- Journals
- Frontiers in Medicine (9 papers)BMC Pulmonary Medicine (5 papers)Pulmonary Circulation (5 papers)Critical Care (4 papers)Critical Care Medicine (4 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Yun Long
94 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Critical Care and Intensive Care Medicine 159
- Pulmonary and Respiratory Medicine 330
- Emergency Medicine 80
- Epidemiology 306
- Applied Microbiology and Biotechnology 18
Countries citing papers authored by Yun Long
This map shows the geographic impact of Yun Long'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 Yun Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Long more than expected).
Fields of papers citing papers by Yun Long
This network shows the impact of papers produced by Yun Long. 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 Yun Long. The network helps show where Yun Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Yun Long, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 181 | |
| 2 | 2021 | 62 | |
| 3 | 2012 | 58 | |
| 4 | 2015 | 54 | |
| 5 | 2016 | 49 | |
| 6 | 2013 | 45 | |
| 7 | 2021 | 44 | |
| 8 | 2021 | 43 | |
| 9 | 2020 | 36 | |
| 10 | 2022 | 35 | |
| 11 | 2017 | 32 | |
| 12 | 2021 | 31 | |
| 13 | 2020 | 31 | |
| 14 | 2003 | 29 | |
| 15 | 2020 | 27 | |
| 16 | 2019 | 25 | |
| 17 | 2020 | 25 | |
| 18 | 2017 | 23 | |
| 19 | 2015 | 23 | |
| 20 | 2016 | 21 |
About Yun Long
Yun Long is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Critical Care and Intensive Care Medicine, Surgery and Emergency Medicine, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (36 papers), Sepsis Diagnosis and Treatment (16 papers), Hemodynamic Monitoring and Therapy (12 papers), Cardiac Arrest and Resuscitation (9 papers), Ultrasound in Clinical Applications (9 papers), Electrical and Bioimpedance Tomography (8 papers), Mechanical Circulatory Support Devices (7 papers) and Neonatal Respiratory Health Research (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (159 citations), Pulmonary and Respiratory Medicine (330 citations), Emergency Medicine (80 citations), Epidemiology (306 citations) and Applied Microbiology and Biotechnology (18 citations). Yun Long has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Huaiwu He, Longxiang Su, Zhanqi Zhao, Yi Chi, Dawei Liu, Xiang Zhou, Siyi Yuan, Inéz Frerichs, Na Cui and Wenzhao Chai. Their work appears in journals such as Frontiers in Medicine, BMC Pulmonary Medicine, Pulmonary Circulation, Critical Care and Critical Care Medicine.
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.