Donghai Huangfu

19 total papers · 987 total citations
17 papers, 859 citations indexed

About

Donghai Huangfu is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Donghai Huangfu has authored 17 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrine and Autonomic Systems, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Molecular Biology. Recurrent topics in Donghai Huangfu's work include Neuroscience of respiration and sleep (12 papers), Heart Rate Variability and Autonomic Control (7 papers) and Neuroendocrine regulation and behavior (4 papers). Donghai Huangfu is often cited by papers focused on Neuroscience of respiration and sleep (12 papers), Heart Rate Variability and Autonomic Control (7 papers) and Neuroendocrine regulation and behavior (4 papers). Donghai Huangfu collaborates with scholars based in United States. Donghai Huangfu's co-authors include Patrice G. Guyenet, Naohiro Koshiya, T. A. Riley, Anthony J.M. Verberne, George Kunos, Kristy D. Lake, K Varga, Ruth L. Stornetta, Yuwen Li and Patrice G. Guyenet and has published in prestigious journals such as Brain Research, Annals of the New York Academy of Sciences and Hypertension.

In The Last Decade

Donghai Huangfu

17 papers receiving 843 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Donghai Huangfu 571 271 253 188 175 17 859
P.D Potts 659 1.2× 595 2.2× 197 0.8× 264 1.4× 148 0.8× 13 1.1k
Flavia Carreño 248 0.4× 132 0.5× 273 1.1× 113 0.6× 281 1.6× 29 1.1k
Vineet C. Chitravanshi 504 0.9× 243 0.9× 147 0.6× 189 1.0× 186 1.1× 43 820
Julio Fernandez‐Pardal 498 0.9× 270 1.0× 121 0.5× 137 0.7× 373 2.1× 14 953
Christal G. Coleman 219 0.4× 158 0.6× 139 0.5× 101 0.5× 136 0.8× 18 728
P. G. Guyenet 701 1.2× 382 1.4× 230 0.9× 191 1.0× 387 2.2× 15 1.0k
Anil Kachroo 284 0.5× 123 0.5× 118 0.5× 63 0.3× 324 1.9× 13 798
K Mückenhoff 618 1.1× 129 0.5× 215 0.8× 217 1.2× 103 0.6× 30 869
Anne Nosjean 329 0.6× 253 0.9× 132 0.5× 148 0.8× 396 2.3× 33 959
Erica S. Levitt 331 0.6× 96 0.4× 166 0.7× 141 0.8× 460 2.6× 26 904

Countries citing papers authored by Donghai Huangfu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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