Jia Shen
- Cardiology and Cardiovascular Medicine top 5%
- Public Health, Environmental and Occupational Health top 10%
- General Health Professions top 5%
- Health top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Laurence SperlingArshed A. QuyyumiMartha GulatiHeval Mohamed KelliGeorge A. MensahJennifer H. MieresWilliam M. SchultzHerman A. Taylor
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Traumatic Brain Injury and Neurovascular Disturbances (3 papers)Cancer Mechanisms and Therapy (2 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ChinaUnited StatesSouth Africa
In The Last Decade
Jia Shen
21 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cardiology and Cardiovascular Medicine 578
- Public Health, Environmental and Occupational Health 262
- General Health Professions 218
- Health 211
- Endocrinology, Diabetes and Metabolism 170
Countries citing papers authored by Jia Shen
This map shows the geographic impact of Jia Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Shen more than expected).
Fields of papers citing papers by Jia Shen
This network shows the impact of papers produced by Jia Shen. 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 Shen. The network helps show where Jia Shen may publish in the future.
Co-authorship network of co-authors of Jia Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Jia Shen. A scholar is included among the top collaborators of Jia Shen 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 Shen. Jia Shen 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 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 8 | |
| 8 | 101 | |
| 9 | 24 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 48 | |
| 13 | 6 | |
| 14 | 22 | |
| 15 | 46 | |
| 16 | 18 | |
| 17 | 104 | |
| 18 | 8 | |
| 19 | 12 | |
| 20 | 74 |
About Jia Shen
Jia Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (578 citations), Health (211 citations) and Endocrinology, Diabetes and Metabolism (170 citations). Jia Shen has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Laurence Sperling, Arshed A. Quyyumi, Martha Gulati, Heval Mohamed Kelli, George A. Mensah, Jennifer H. Mieres, William M. Schultz, Herman A. Taylor, Keith C. Ferdinand and Pratik B. Sandesara. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.