Hui-Feng Cheng

11 total papers · 426 total citations
8 papers, 364 citations indexed

About

Hui-Feng Cheng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hui-Feng Cheng has authored 8 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hui-Feng Cheng's work include Renin-Angiotensin System Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Adenosine and Purinergic Signaling (2 papers). Hui-Feng Cheng is often cited by papers focused on Renin-Angiotensin System Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Adenosine and Purinergic Signaling (2 papers). Hui-Feng Cheng collaborates with scholars based in United States and China. Hui-Feng Cheng's co-authors include Raymond C. Harris, Bryan N. Becker, Kevin D. Burns, T. Homma, Robert J. Coffey, Masahiro Sakai, Toshihiro Yasuda, Guofang Xue, Satoshi Kondo and Christian Hölscher and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Kidney International.

In The Last Decade

Hui-Feng Cheng

8 papers receiving 357 citations

Author Peers

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

Author Last Decade Papers Cites
Hui-Feng Cheng 172 125 115 60 41 8 364
Fabian Riediger 227 1.3× 112 0.9× 74 0.6× 39 0.7× 45 1.1× 9 382
Paul Martinello 142 0.8× 87 0.7× 58 0.5× 55 0.9× 34 0.8× 14 361
Sumihiko Hagita 147 0.9× 94 0.8× 58 0.5× 43 0.7× 43 1.0× 12 402
Kazuwa Nakao 149 0.9× 139 1.1× 57 0.5× 31 0.5× 29 0.7× 13 372
Ruriko Grant 122 0.7× 84 0.7× 51 0.4× 81 1.4× 46 1.1× 8 333
Kanta Taniguchi 173 1.0× 45 0.4× 62 0.5× 107 1.8× 46 1.1× 8 371
C. Bombardi 218 1.3× 126 1.0× 45 0.4× 45 0.8× 19 0.5× 8 377
Gabin Sihn 193 1.1× 147 1.2× 120 1.0× 41 0.7× 30 0.7× 10 399
F. A. Carone 137 0.8× 30 0.2× 60 0.5× 68 1.1× 29 0.7× 8 343
C. Warnecke 142 0.8× 78 0.6× 50 0.4× 36 0.6× 20 0.5× 11 346

Countries citing papers authored by Hui-Feng Cheng

Since Specialization
Citations

This map shows the geographic impact of Hui-Feng Cheng'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 Hui-Feng Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui-Feng Cheng more than expected).

Fields of papers citing papers by Hui-Feng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui-Feng Cheng. 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 Hui-Feng Cheng. The network helps show where Hui-Feng Cheng may publish in the future.

Co-authorship network of co-authors of Hui-Feng Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Hui-Feng Cheng. A scholar is included among the top collaborators of Hui-Feng Cheng 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 Hui-Feng Cheng. Hui-Feng Cheng 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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2026