Haiyun Luan

13 total papers · 432 total citations
9 papers, 350 citations indexed

About

Haiyun Luan is a scholar working on Molecular Biology, Neurology and Clinical Biochemistry. According to data from OpenAlex, Haiyun Luan has authored 9 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Neurology and 3 papers in Clinical Biochemistry. Recurrent topics in Haiyun Luan's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Mast cells and histamine (2 papers). Haiyun Luan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Mast cells and histamine (2 papers). Haiyun Luan collaborates with scholars based in China. Haiyun Luan's co-authors include Zechun Kang, Qiaoyun Wang, Jinlian Li, Chunbo Wang, Wanglin Jiang, Yong Xu, Changjun Lv, Shuping Zhang, Feng Zhao and Chaoyun Wang and has published in prestigious journals such as Free Radical Biology and Medicine, Experimental Neurology and Food and Chemical Toxicology.

In The Last Decade

Haiyun Luan

9 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Haiyun Luan	133	64	60	57	48	9	350
Khurram Aamir	134 1.0×	85 1.3×	103 1.7×	61 1.1×	39 0.8×	11	395
Yingjuan Ma	97 0.7×	62 1.0×	112 1.9×	93 1.6×	29 0.6×	8	340
Chung-Man Yeung	134 1.0×	57 0.9×	77 1.3×	32 0.6×	27 0.6×	11	400
Bryan Veeren	107 0.8×	41 0.6×	44 0.7×	40 0.7×	58 1.2×	21	367
Jessica Patché	92 0.7×	48 0.8×	59 1.0×	37 0.6×	62 1.3×	13	355
Chao Shen	106 0.8×	71 1.1×	106 1.8×	92 1.6×	29 0.6×	8	325
Zhongxuan Ma	155 1.2×	27 0.4×	52 0.9×	31 0.5×	28 0.6×	10	344
An-Na Chiang	140 1.1×	35 0.5×	49 0.8×	14 0.2×	30 0.6×	11	394
Yaqin Wei	156 1.2×	65 1.0×	52 0.9×	56 1.0×	11 0.2×	10	346
Fengwei Nan	153 1.2×	93 1.5×	92 1.5×	23 0.4×	53 1.1×	8	366

Countries citing papers authored by Haiyun Luan

Since Specialization

Citations

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

Fields of papers citing papers by Haiyun Luan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyun Luan

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