Jia Su
- Cardiology and Cardiovascular Medicine top 10%
- Infectious Diseases top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Co-authors
- Jin XuXiaohong ChenLina MuZuo‐Feng ZhangRungui NiuShen‐Chih ChangJianping ShiMya Swanson
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (10 papers)Diabetes Treatment and Management (7 papers)Viral gastroenteritis research and epidemiology (6 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Jia Su
41 papers receiving 801 citations
Peers
Comparison fields: 5 of 101
- Cardiology and Cardiovascular Medicine 244
- Infectious Diseases 221
- Molecular Biology 178
- Endocrinology, Diabetes and Metabolism 101
- Cancer Research 99
Countries citing papers authored by Jia Su
This map shows the geographic impact of Jia Su'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 Jia Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Su more than expected).
Fields of papers citing papers by Jia Su
This network shows the impact of papers produced by Jia Su. 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 Jia Su. The network helps show where Jia Su may publish in the future.
Co-authorship network of co-authors of Jia Su
This figure shows the co-authorship network connecting the top 25 collaborators of Jia Su. A scholar is included among the top collaborators of Jia Su 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 Jia Su. Jia Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 26 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 18 | |
| 12 | 42 | |
| 13 | 2 | |
| 14 | Epidemic situation of typhus in Henan, 1950-2015. | 1 |
| 15 | 53 | |
| 16 | Prevalence of chronic diseases and related risk factors among residents in Jiangsu province,China | 3 |
| 17 | 30 | |
| 18 | 147 | |
| 19 | 33 | |
| 20 | Regression analysis between polymorphisms of DNA repair gene XRCC1 and susceptibility to lung cancer of nonsmoking women | 1 |
About Jia Su
Jia Su is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 45 papers that have together received 817 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (10 papers), Diabetes Treatment and Management (7 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Infectious Diseases (221 citations), Cardiology and Cardiovascular Medicine (244 citations) and Cancer Research (99 citations). Jia Su has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jin Xu, Xiaohong Chen, Lina Mu, Zuo‐Feng Zhang, Rungui Niu, Shen‐Chih Chang, Jianping Shi, Mya Swanson, Shun‐Zhang Yu and Qinglin Yu. Their work appears in journals such as PLoS ONE, Scientific Reports and European Journal of Pharmacology.
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.