Yi Hua

60 total papers · 1.1k total citations
36 papers, 711 citations indexed

About

Yi Hua is a scholar working on Molecular Biology, Surgery and Ecology. According to data from OpenAlex, Yi Hua has authored 36 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Ecology. Recurrent topics in Yi Hua's work include RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Yi Hua is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Yi Hua collaborates with scholars based in China, Singapore and United States. Yi Hua's co-authors include Jun Pei, Guanghui Wei, Xingyu Pan, Yadong Chen, Haichun Liu, Tao Lu, Yuan Xu, Yanmin Zhang, Haiwei Song and Danyu Wang and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yi Hua

30 papers receiving 700 citations

Hit Papers

Research progress of glut... 2023 2026 2024 2023 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Yi Hua 311 107 74 64 57 36 711
André Morin 230 0.7× 90 0.8× 55 0.7× 53 0.8× 40 0.7× 39 790
Xuan Liu 302 1.0× 96 0.9× 73 1.0× 33 0.5× 36 0.6× 24 672
Xueting Mei 261 0.8× 119 1.1× 77 1.0× 28 0.4× 38 0.7× 40 865
Tapan K. Mukherjee 237 0.8× 77 0.7× 33 0.4× 76 1.2× 67 1.2× 25 664
Hadi Ghaffari 197 0.6× 95 0.9× 39 0.5× 56 0.9× 48 0.8× 38 858
Carlos Roberto Polaquini 326 1.0× 76 0.7× 26 0.4× 54 0.8× 64 1.1× 28 873
Xiaoyu Lu 237 0.8× 67 0.6× 54 0.7× 78 1.2× 43 0.8× 51 803
Tiziana Latronico 228 0.7× 43 0.4× 77 1.0× 28 0.4× 78 1.4× 43 812
Domenica Scumaci 381 1.2× 57 0.5× 43 0.6× 43 0.7× 40 0.7× 28 801
Yiying Yang 508 1.6× 110 1.0× 41 0.6× 20 0.3× 60 1.1× 37 819

Countries citing papers authored by Yi Hua

Since Specialization
Citations

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

Fields of papers citing papers by Yi Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Hua

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