Yun Hu

51 total papers · 1.4k total citations
31 papers, 791 citations indexed

About

Yun Hu is a scholar working on Molecular Biology, Physiology and Computer Networks and Communications. According to data from OpenAlex, Yun Hu has authored 31 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Computer Networks and Communications. Recurrent topics in Yun Hu's work include Alzheimer's disease research and treatments (8 papers), Mobile Ad Hoc Networks (4 papers) and Chemical Synthesis and Analysis (4 papers). Yun Hu is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Mobile Ad Hoc Networks (4 papers) and Chemical Synthesis and Analysis (4 papers). Yun Hu collaborates with scholars based in China, United States and Canada. Yun Hu's co-authors include Erik Wagner, Menelas N. Pangalos, Albert J. Robichaud, Jonathan Bard, Michael S. Malamas, Jim Turner, Peter H. Reinhart, Andrea Olland, Kristi Fan and Rajiv Chopra and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Yun Hu

29 papers receiving 770 citations

Author Peers

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

Author Last Decade Papers Cites
Yun Hu 345 278 224 197 147 31 791
Michael P. Mazanetz 223 0.6× 447 1.6× 229 1.0× 124 0.6× 99 0.7× 16 801
Xiaoxia Sun 328 1.0× 206 0.7× 67 0.3× 126 0.6× 21 0.1× 21 811
Erik Wagner 370 1.1× 316 1.1× 206 0.9× 161 0.8× 103 0.7× 11 747
Felicia Liana Andronie-Cioară 206 0.6× 274 1.0× 55 0.2× 135 0.7× 51 0.3× 23 803
Lorane Izabel da Silva Hage-Melim 114 0.3× 292 1.1× 174 0.8× 155 0.8× 130 0.9× 45 864
Huailei Jiang 87 0.3× 124 0.4× 83 0.4× 162 0.8× 95 0.6× 32 678
Jan Neelissen 323 0.9× 258 0.9× 142 0.6× 117 0.6× 80 0.5× 22 798
Elias Carvalho Padilha 111 0.3× 265 1.0× 93 0.4× 101 0.5× 109 0.7× 26 681
Di Chen 73 0.2× 239 0.9× 86 0.4× 27 0.1× 102 0.7× 42 796
Johanna Fälting 425 1.2× 304 1.1× 237 1.1× 238 1.2× 62 0.4× 26 831

Countries citing papers authored by Yun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Hu

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