Donghai Huangfu
- Endocrine and Autonomic Systems top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Cognitive Neuroscience top 10%
- Social Psychology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Patrice G. GuyenetNaohiro KoshiyaT. A. RileyAnthony J.M. VerberneKristy D. LakeGeorge KunosK VargaRuth L. Stornetta
- Topics
- Neuroscience of respiration and sleep (12 papers)Heart Rate Variability and Autonomic Control (7 papers)Neuroendocrine regulation and behavior (4 papers)
- Cited by
- Endocrine and Autonomic SystemsCognitive NeuroscienceCardiology and Cardiovascular Medicine
- Partner nations
- United States
In The Last Decade
Donghai Huangfu
17 papers receiving 844 citations
Peers
Comparison fields: 5 of 74
- Endocrine and Autonomic Systems 571
- Cardiology and Cardiovascular Medicine 272
- Cognitive Neuroscience 254
- Social Psychology 188
- Cellular and Molecular Neuroscience 175
Countries citing papers authored by Donghai Huangfu
This map shows the geographic impact of Donghai Huangfu'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 Donghai Huangfu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghai Huangfu more than expected).
Fields of papers citing papers by Donghai Huangfu
This network shows the impact of papers produced by Donghai Huangfu. 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 Donghai Huangfu. The network helps show where Donghai Huangfu may publish in the future.
Co-authorship network of co-authors of Donghai Huangfu
This figure shows the co-authorship network connecting the top 25 collaborators of Donghai Huangfu. A scholar is included among the top collaborators of Donghai Huangfu 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 Donghai Huangfu. Donghai Huangfu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 18 | |
| 3 | 15 | |
| 4 | 10 | |
| 5 | 121 | |
| 6 | 139 | |
| 7 | 26 | |
| 8 | 25 | |
| 9 | 51 | |
| 10 | 24 | |
| 11 | 12 | |
| 12 | 119 | |
| 13 | 147 | |
| 14 | 28 | |
| 15 | 35 | |
| 16 | 12 | |
| 17 | 73 |
About Donghai Huangfu
Donghai Huangfu is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Toxicology, having authored 17 papers that have together received 860 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (12 papers), Heart Rate Variability and Autonomic Control (7 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (571 citations), Cognitive Neuroscience (254 citations) and Cardiology and Cardiovascular Medicine (272 citations). Donghai Huangfu has collaborated with scholars based in United States. Frequent co-authors include Patrice G. Guyenet, Naohiro Koshiya, T. A. Riley, Anthony J.M. Verberne, Kristy D. Lake, George Kunos, K Varga, Ruth L. Stornetta, Patrice G. Guyenet and Scott C. Baraban. Their work appears in journals such as Brain Research, Annals of the New York Academy of Sciences and Hypertension.
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.