Yanling Hua

35 total papers · 527 total citations
25 papers, 425 citations indexed

About

Yanling Hua is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Yanling Hua has authored 25 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Biotechnology. Recurrent topics in Yanling Hua's work include Enzyme Production and Characterization (6 papers), Polysaccharides and Plant Cell Walls (4 papers) and GABA and Rice Research (4 papers). Yanling Hua is often cited by papers focused on Enzyme Production and Characterization (6 papers), Polysaccharides and Plant Cell Walls (4 papers) and GABA and Rice Research (4 papers). Yanling Hua collaborates with scholars based in Thailand, Japan and China. Yanling Hua's co-authors include Sompong Sansenya, James R. Ketudat Cairns, Jisnuson Svasti, Takashi Akiyama, Rodjana Opassiri, Nuannoi Chudapongse, Surintorn Boonanuntanasarn, Asim Esen, Phimonphan Chuankhayan and Salila Pengthaisong and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Agricultural and Food Chemistry and Biochemical Journal.

In The Last Decade

Yanling Hua

24 papers receiving 417 citations

Author Peers

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

Author Last Decade Papers Cites
Yanling Hua 197 176 118 58 57 25 425
Guoting Tian 213 1.1× 227 1.3× 185 1.6× 52 0.9× 11 0.2× 25 495
Hataichanoke Niamsup 237 1.2× 158 0.9× 28 0.2× 43 0.7× 22 0.4× 22 426
P. Senthilraja 161 0.8× 61 0.3× 38 0.3× 57 1.0× 34 0.6× 24 456
Ishaq Muhammad 235 1.2× 95 0.5× 27 0.2× 31 0.5× 54 0.9× 36 492
Tengfei Zhao 283 1.4× 172 1.0× 48 0.4× 41 0.7× 16 0.3× 36 494
M. C. Prabhakar 174 0.9× 158 0.9× 103 0.9× 12 0.2× 27 0.5× 21 493
Xuan Xin 200 1.0× 61 0.3× 38 0.3× 31 0.5× 43 0.8× 27 388
Kyoung-Hwa Choi 215 1.1× 118 0.7× 237 2.0× 67 1.2× 14 0.2× 28 449
Su‐Yeon Kim 163 0.8× 92 0.5× 43 0.4× 43 0.7× 29 0.5× 35 432
Chandra Risdian 206 1.0× 103 0.6× 78 0.7× 18 0.3× 30 0.5× 44 437

Countries citing papers authored by Yanling Hua

Since Specialization
Citations

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

Fields of papers citing papers by Yanling Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanling Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Yanling Hua. A scholar is included among the top collaborators of Yanling 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 Yanling Hua. Yanling 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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2026