Haina Yuan

41 total papers · 748 total citations
24 papers, 625 citations indexed

About

Haina Yuan is a scholar working on Molecular Biology, Food Science and Organic Chemistry. According to data from OpenAlex, Haina Yuan has authored 24 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Food Science and 6 papers in Organic Chemistry. Recurrent topics in Haina Yuan's work include Meat and Animal Product Quality (5 papers), GABA and Rice Research (5 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Haina Yuan is often cited by papers focused on Meat and Animal Product Quality (5 papers), GABA and Rice Research (5 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Haina Yuan collaborates with scholars based in China, United States and Czechia. Haina Yuan's co-authors include Jun‐An Ma, Jing Nie, Qingwei Yao, Wei Meng, Shuai Wang, Gongnian Xiao, Jinyan Gong, Yan Zheng, Shen Li and Bingquan Chu and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Chemistry - A European Journal.

In The Last Decade

Haina Yuan

23 papers receiving 615 citations

Hit Papers

Construction of enzymatic... 2025 2026 2025 5 10 15 20

Author Peers

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

Author Last Decade Papers Cites
Haina Yuan 329 208 148 76 75 24 625
Christine Gottardo 322 1.0× 126 0.6× 79 0.5× 106 1.4× 24 0.3× 25 662
Guy A. Crosby 196 0.6× 147 0.7× 140 0.9× 130 1.7× 15 0.2× 25 626
F. Gautschi 257 0.8× 260 1.3× 79 0.5× 64 0.8× 21 0.3× 16 707
Michael Moir 214 0.7× 229 1.1× 100 0.7× 124 1.6× 28 0.4× 34 786
I. A. Selivanova 147 0.4× 130 0.6× 125 0.8× 107 1.4× 30 0.4× 32 664
Aiqing Xu 357 1.1× 119 0.6× 97 0.7× 38 0.5× 40 0.5× 14 639
Jitka Moravcová 230 0.7× 336 1.6× 76 0.5× 91 1.2× 23 0.3× 41 736
Gaspar Diaz‐Muñoz 270 0.8× 167 0.8× 146 1.0× 115 1.5× 20 0.3× 44 595
Paul Enggist 263 0.8× 233 1.1× 160 1.1× 137 1.8× 10 0.1× 24 681
Cvijeta Jakobušić Brala 317 1.0× 156 0.8× 143 1.0× 68 0.9× 59 0.8× 23 711

Countries citing papers authored by Haina Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Haina Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haina Yuan

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