Huali Long

62 total papers · 1.1k total citations
51 papers, 900 citations indexed

About

Huali Long is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Huali Long has authored 51 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Complementary and alternative medicine and 12 papers in Pharmacology. Recurrent topics in Huali Long's work include Traditional Chinese Medicine Analysis (12 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Ginseng Biological Effects and Applications (8 papers). Huali Long is often cited by papers focused on Traditional Chinese Medicine Analysis (12 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Ginseng Biological Effects and Applications (8 papers). Huali Long collaborates with scholars based in China, United States and Brazil. Huali Long's co-authors include Wanying Wu, Jinjun Hou, De‐an Guo, Min Lei, Shuai Yao, Lu-Ying Cai, Zijia Zhang, Baohong Jiang, Wenyong Wu and Juan Da and has published in prestigious journals such as Analytical Chemistry, Food Chemistry and Chemical Engineering Journal.

In The Last Decade

Huali Long

50 papers receiving 886 citations

Author Peers

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

Author Last Decade Papers Cites
Huali Long 449 240 239 209 178 51 900
Meng Wang 422 0.9× 152 0.6× 260 1.1× 136 0.7× 268 1.5× 65 1.0k
Sathiyanarayanan Lohidasan 211 0.5× 187 0.8× 204 0.9× 174 0.8× 160 0.9× 66 912
Yanru Deng 366 0.8× 163 0.7× 152 0.6× 116 0.6× 136 0.8× 59 840
Yueping Jiang 504 1.1× 350 1.5× 122 0.5× 140 0.7× 166 0.9× 73 1.0k
Weifeng Yao 591 1.3× 219 0.9× 217 0.9× 102 0.5× 236 1.3× 79 1.0k
Gui-Zhong Xin 595 1.3× 126 0.5× 235 1.0× 94 0.4× 109 0.6× 43 920
Huarong Xu 587 1.3× 106 0.4× 183 0.8× 111 0.5× 204 1.1× 53 952
Lei Zhang 455 1.0× 347 1.4× 173 0.7× 142 0.7× 160 0.9× 56 1.0k
Guixiang Pan 430 1.0× 181 0.8× 202 0.8× 143 0.7× 284 1.6× 50 960
Sainan Li 456 1.0× 179 0.7× 148 0.6× 152 0.7× 237 1.3× 78 856

Countries citing papers authored by Huali Long

Since Specialization
Citations

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

Fields of papers citing papers by Huali Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huali Long

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