Qingfeng Tian
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Zuxun Lu (21 shared papers)Yong Gan (15 shared papers)Songhe Shi (7 shared papers)Zhan Shi (5 shared papers)Bingxin Guo (3 shared papers)Heng Jiang (10 shared papers)Sangsang Li (2 shared papers)Yapeng Li (2 shared papers)
- Journals
- Scientific Reports (4 papers)Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity (2 papers)Obesity Reviews (2 papers)Pharmaceutical Development and Technology (2 papers)BMC Geriatrics (2 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Qingfeng Tian
45 papers receiving 690 citations
Peers
Comparison fields: 5 of 111
- Modeling and Simulation 44
- Endocrinology, Diabetes and Metabolism 93
- Biomaterials 55
- Speech and Hearing 23
- Infectious Diseases 61
Countries citing papers authored by Qingfeng Tian
This map shows the geographic impact of Qingfeng Tian'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 Qingfeng Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfeng Tian more than expected).
Fields of papers citing papers by Qingfeng Tian
This network shows the impact of papers produced by Qingfeng Tian. 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 Qingfeng Tian. The network helps show where Qingfeng Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfeng Tian, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 128 | |
| 2 | 2020 | 113 | |
| 3 | 2020 | 59 | |
| 4 | 2022 | 50 | |
| 5 | 2019 | 44 | |
| 6 | 2020 | 32 | |
| 7 | 2021 | 28 | |
| 8 | 2022 | 16 | |
| 9 | 2018 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2024 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2024 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2020 | 7 |
About Qingfeng Tian
Qingfeng Tian is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Biomaterials, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 699 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Smoking Behavior and Cessation (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Dysphagia Assessment and Management (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Air Quality and Health Impacts (2 papers) and Energy and Environment Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (44 citations), Endocrinology, Diabetes and Metabolism (93 citations), Biomaterials (55 citations), Speech and Hearing (23 citations) and Infectious Diseases (61 citations). Qingfeng Tian has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Zuxun Lu, Yong Gan, Songhe Shi, Zhan Shi, Bingxin Guo, Heng Jiang, Sangsang Li, Yapeng Li, Huanan Chen and Chao Wang. Their work appears in journals such as Scientific Reports, Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity, Obesity Reviews, Pharmaceutical Development and Technology and BMC Geriatrics.
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.