Huanyu Gu

16 total papers · 495 total citations
13 papers, 382 citations indexed

About

Huanyu Gu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Huanyu Gu has authored 13 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Huanyu Gu's work include Signaling Pathways in Disease (3 papers), Cardiac Fibrosis and Remodeling (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Huanyu Gu is often cited by papers focused on Signaling Pathways in Disease (3 papers), Cardiac Fibrosis and Remodeling (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Huanyu Gu collaborates with scholars based in China, United States and Netherlands. Huanyu Gu's co-authors include Lei Zhou, Zhuyuan Liu, Gang Hu, Yuan Xie, Jiahong Xu, Qingqing Sun, Qiao Chen, Jianhua Ding, Qinqin Wang and Ming Lu and has published in prestigious journals such as Biochemical Pharmacology, BioMed Research International and BMC Medicine.

In The Last Decade

Huanyu Gu

12 papers receiving 380 citations

Author Peers

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

Author Last Decade Papers Cites
Huanyu Gu 217 107 89 49 48 13 382
Tingting Li 252 1.2× 117 1.1× 79 0.9× 32 0.7× 79 1.6× 20 407
Christine Couch 183 0.8× 53 0.5× 84 0.9× 20 0.4× 44 0.9× 10 375
G. Coppolino 119 0.5× 55 0.5× 45 0.5× 44 0.9× 109 2.3× 18 413
Dana Krämer 224 1.0× 89 0.8× 64 0.7× 11 0.2× 70 1.5× 9 416
Caibin Deng 261 1.2× 133 1.2× 74 0.8× 18 0.4× 62 1.3× 14 430
Mitsunori Ishiguro 119 0.5× 48 0.4× 109 1.2× 32 0.7× 43 0.9× 19 362
Alicia Gates 191 0.9× 45 0.4× 107 1.2× 12 0.2× 36 0.8× 10 382
Sarah Schneider 152 0.7× 42 0.4× 110 1.2× 16 0.3× 69 1.4× 13 424
Daniel Chesik 132 0.6× 43 0.4× 94 1.1× 17 0.3× 61 1.3× 20 440
Min Wu 159 0.7× 66 0.6× 83 0.9× 33 0.7× 20 0.4× 12 426

Countries citing papers authored by Huanyu Gu

Since Specialization
Citations

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

Fields of papers citing papers by Huanyu Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huanyu Gu. 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 Huanyu Gu. The network helps show where Huanyu Gu may publish in the future.

Co-authorship network of co-authors of Huanyu Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Huanyu Gu. A scholar is included among the top collaborators of Huanyu Gu 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 Huanyu Gu. Huanyu Gu 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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