Xin Hong
- Public Health, Environmental and Occupational Health top 10%
- Pathology and Forensic Medicine top 10%
- Food Science top 10%
- Physiology
- Transportation top 5%
- Topics
- Obesity, Physical Activity, Diet (11 papers)Nutritional Studies and Diet (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xin Hong
34 papers receiving 547 citations
Peers
Comparison fields: 5 of 86
- Public Health, Environmental and Occupational Health 230
- Pathology and Forensic Medicine 120
- Food Science 110
- Physiology 91
- Transportation 84
Countries citing papers authored by Xin Hong
This map shows the geographic impact of Xin Hong'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 Xin Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Hong more than expected).
Fields of papers citing papers by Xin Hong
This network shows the impact of papers produced by Xin Hong. 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 Xin Hong. The network helps show where Xin Hong may publish in the future.
Co-authorship network of co-authors of Xin Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Hong. A scholar is included among the top collaborators of Xin Hong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xin Hong. Xin Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 23 | |
| 10 | 15 | |
| 11 | 26 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | 17 | |
| 15 | [Dietary patterns and hyperglycemia in a follow-up study in Nanjing city]. | 3 |
| 16 | [Relationship between dietary pattern and excess body weight among urban residents: a three-year follow-up study in Nanjing]. | 2 |
| 17 | 15 | |
| 18 | Comparison of anthropometric indices of obesity in predicting subsequent risk of hyperglycemia among Chinese men and women in Mainland China. | 21 |
| 19 | 59 | |
| 20 | Clinical diagnosis and therapy of chronic cough with normal chest radiographs | 1 |
About Xin Hong
Xin Hong is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Physiology, having authored 35 papers that have together received 559 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (11 papers), Nutritional Studies and Diet (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). The work is most often cited by research in Transportation (84 citations), Biochemistry (49 citations) and Public Health, Environmental and Occupational Health (230 citations). Xin Hong has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Fei Xu, Robert S. Ware, Neville Owen, Hairong Zhou, Qing Ye, Jianan Huang, Chao Wang, Eva Leslie, Takemi Sugiyama and Zhiyong Wang. Their work appears in journals such as PLoS ONE, Nutrients and Journal of Affective Disorders.
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.