Yun Hu

108 total papers · 2.2k total citations
71 papers, 1.7k citations indexed

About

Yun Hu is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Yun Hu has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Plant Science and 12 papers in Biomedical Engineering. Recurrent topics in Yun Hu's work include CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Biofuel production and bioconversion (6 papers). Yun Hu is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Biofuel production and bioconversion (6 papers). Yun Hu collaborates with scholars based in China, United States and Brazil. Yun Hu's co-authors include Seongeun Cho, José Russo, Ruijie Deng, Kaixiang Zhang, Ismael D.C.G. Silva, Qiang He, Lifang Zhou, Hegang Li, Yanhong Wang and Shaohua Yao and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and Analytical Chemistry.

In The Last Decade

Yun Hu

67 papers receiving 1.6k citations

Hit Papers

A paper-based assay for t... 2022 2026 2023 2024 2022 40 80 120

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 944 444 185 167 144 71 1.7k
Bo Ram Lee 786 0.8× 208 0.5× 128 0.7× 294 1.8× 134 0.9× 120 1.8k
Xueming Tang 962 1.0× 183 0.4× 187 1.0× 101 0.6× 111 0.8× 67 1.7k
Fei Li 982 1.0× 233 0.5× 108 0.6× 192 1.1× 73 0.5× 103 2.3k
Jia Zhang 1.1k 1.2× 231 0.5× 166 0.9× 146 0.9× 100 0.7× 85 2.0k
Xia Chen 1.1k 1.1× 177 0.4× 241 1.3× 120 0.7× 130 0.9× 128 2.4k
Siwei Wang 1.1k 1.1× 198 0.4× 138 0.7× 130 0.8× 79 0.5× 91 2.3k
Yijie Chen 918 1.0× 612 1.4× 154 0.8× 60 0.4× 273 1.9× 97 2.2k
Jun Yang 857 0.9× 309 0.7× 137 0.7× 172 1.0× 363 2.5× 108 2.0k
Hiromi Yamada 700 0.7× 385 0.9× 95 0.5× 128 0.8× 94 0.7× 91 2.1k
Grazia Galleri 501 0.5× 214 0.5× 70 0.4× 235 1.4× 153 1.1× 67 1.9k

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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