Daian Chen
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Nutrition and Dietetics
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Thomas M. CoffmanThomas WaltherGeoffrey A. HeadJohannes StegbauerMatthew A. SparksRobert GriffithsSusan B. GurleyAndrew M. Allen
- Topics
- Renin-Angiotensin System Studies (12 papers)Hormonal Regulation and Hypertension (6 papers)Receptor Mechanisms and Signaling (5 papers)
- Cited by
- Behavioral NeuroscienceCardiology and Cardiovascular MedicineEndocrine and Autonomic Systems
- Partner nations
- United StatesAustraliaSingapore
In The Last Decade
Daian Chen
18 papers receiving 440 citations
Peers
Comparison fields: 5 of 75
- Cardiology and Cardiovascular Medicine 217
- Molecular Biology 136
- Endocrinology, Diabetes and Metabolism 115
- Nutrition and Dietetics 78
- Endocrine and Autonomic Systems 62
Countries citing papers authored by Daian Chen
This map shows the geographic impact of Daian Chen'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 Daian Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daian Chen more than expected).
Fields of papers citing papers by Daian Chen
This network shows the impact of papers produced by Daian Chen. 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 Daian Chen. The network helps show where Daian Chen may publish in the future.
Co-authorship network of co-authors of Daian Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Daian Chen. A scholar is included among the top collaborators of Daian Chen 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 Daian Chen. Daian Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 9 | |
| 3 | 18 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 28 | |
| 8 | 53 | |
| 9 | 17 | |
| 10 | 84 | |
| 11 | 22 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 38 | |
| 15 | 35 | |
| 16 | 8 | |
| 17 | 27 | |
| 18 | 46 |
About Daian Chen
Daian Chen is a scholar working on Behavioral Neuroscience, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 442 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (12 papers), Hormonal Regulation and Hypertension (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Behavioral Neuroscience (62 citations), Cardiology and Cardiovascular Medicine (217 citations) and Endocrine and Autonomic Systems (62 citations). Daian Chen has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Thomas M. Coffman, Thomas Walther, Geoffrey A. Head, Johannes Stegbauer, Matthew A. Sparks, Robert Griffiths, Susan B. Gurley, Andrew M. Allen, Dmitry N. Mayorov and Jaspreet K. Bassi. Their work appears in journals such as Journal of Clinical Investigation, Journal of Neuroscience and The FASEB Journal.
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.