Jun She
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Chronic Obstructive Pulmonary Disease (COPD) Research 4
- Neonatal Respiratory Health Research 2
-
- Fibroblast Growth Factor Research 2
- Co-authors
- Chunxue Bai (9 shared papers)Ping Yang (6 shared papers)Yuanlin Song (6 shared papers)Qunying Hong (1 shared paper)Ling Ye (2 shared papers)Jinjun Jiang (1 shared paper)Lijuan Hu (1 shared paper)Yuanlin Song (4 shared papers)
- Journals
- CHEST Journal (3 papers)Journal of Cellular and Molecular Medicine (3 papers)Journal of Thoracic Oncology (2 papers)Respiratory Physiology & Neurobiology (1 paper)Diagnostic Pathology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun She
25 papers receiving 993 citations
Peers
Comparison fields: 5 of 115
- Modeling and Simulation 52
- Cancer Research 112
- Infectious Diseases 127
- Pulmonary and Respiratory Medicine 214
- General Dentistry 9
Countries citing papers authored by Jun She
This map shows the geographic impact of Jun She'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 She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun She more than expected).
Fields of papers citing papers by Jun She
This network shows the impact of papers produced by Jun She. 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 She. The network helps show where Jun She may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun She, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 286 | |
| 2 | 2013 | 260 | |
| 3 | 2015 | 60 | |
| 4 | 2008 | 56 | |
| 5 | 2014 | 49 | |
| 6 | 2016 | 40 | |
| 7 | 2009 | 35 | |
| 8 | 2012 | 32 | |
| 9 | 2020 | 31 | |
| 10 | 2016 | 30 | |
| 11 | 2017 | 27 | |
| 12 | 2014 | 25 | |
| 13 | 2022 | 20 | |
| 14 | 2007 | 17 | |
| 15 | 2013 | 16 | |
| 16 | 2025 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 3 |
About Jun She
Jun She is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Epidemiology and Cancer Research, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), High Altitude and Hypoxia (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Fibroblast Growth Factor Research (2 papers), Multiple and Secondary Primary Cancers (2 papers), MicroRNA in disease regulation (2 papers), Neonatal Respiratory Health Research (2 papers) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Modeling and Simulation (52 citations), Cancer Research (112 citations), Infectious Diseases (127 citations), Pulmonary and Respiratory Medicine (214 citations) and General Dentistry (9 citations). Jun She has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chunxue Bai, Ping Yang, Yuanlin Song, Qunying Hong, Ling Ye, Jinjun Jiang, Lijuan Hu, Yuanlin Song, Lin Tong and Ziming Wang. Their work appears in journals such as CHEST Journal, Journal of Cellular and Molecular Medicine, Journal of Thoracic Oncology, Respiratory Physiology & Neurobiology and Diagnostic Pathology.
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.