Qingfeng Tian

45 papers receiving 639 citations

Peers

Qingfeng Tian
Comparison fields: 5 of 114
  • Modeling and Simulation 52
  • Endocrinology, Diabetes and Metabolism 136
  • Cardiology and Cardiovascular Medicine 126
  • Infectious Diseases 75
  • Experimental and Cognitive Psychology 51
Replace Xin Peng with:
Xin Peng China
Qiuying Han China
Seung Won Lee South Korea
Yetao Luo China
Tilahun Adera United States
Irene Sequí‐Domínguez Spain
Vishwajeet Singh India
Kuang‐Hua Huang Taiwan
Caroline Bähler Switzerland
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Citations per field
00.5×3.4×
Xin Peng · 1×
Citations per year

Countries citing papers authored by Qingfeng Tian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Qingfeng Tian Line = papers co-authored together Qingfeng Tian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019127
2 2020109
3 202052
4 202242
5 201939
6 202030
7 202126
8 202215
9 201814
10 202214
11 202014
12 202112
13 202411
14 201911
15 202110
16 202210
17 20248
18 20228
19 20227
20 20207

About Qingfeng Tian

Qingfeng Tian is a scholar working on Epidemiology, Physiology, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Health, having authored 48 papers that have together received 651 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (5 papers), Health disparities and outcomes (5 papers), Obesity, Physical Activity, Diet (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Nutritional Studies and Diet (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Dysphagia Assessment and Management (3 papers). The work is most often cited by research in Modeling and Simulation (52 citations), Endocrinology, Diabetes and Metabolism (136 citations), Cardiology and Cardiovascular Medicine (126 citations), Infectious Diseases (75 citations) and Experimental and Cognitive Psychology (51 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, Huanan Chen, Heng Jiang, Yapeng Li, Sangsang Li and Chao Wang. Their work appears in journals such as Scientific Reports, Pharmaceutical Development and Technology, Obesity Reviews, BMC Geriatrics and Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity.

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.

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