Lina Ruan

12 total papers · 521 total citations
11 papers, 443 citations indexed

About

Lina Ruan is a scholar working on Biological Psychiatry, Molecular Biology and Pharmacology. According to data from OpenAlex, Lina Ruan has authored 11 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biological Psychiatry, 4 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Lina Ruan's work include Tryptophan and brain disorders (6 papers), Phosphodiesterase function and regulation (4 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Lina Ruan is often cited by papers focused on Tryptophan and brain disorders (6 papers), Phosphodiesterase function and regulation (4 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Lina Ruan collaborates with scholars based in China, United States and Bahrain. Lina Ruan's co-authors include Jianchun Pan, Ying Xu, James M. O’Donnell, Jiao Sun, Jianxin Li, Chong Zhang, Tuo Shao, Dan Lin, Xuefeng Yu and Gaowen Li and has published in prestigious journals such as The FASEB Journal, Neurobiology of Aging and Journal of Psychiatric Research.

In The Last Decade

Lina Ruan

11 papers receiving 436 citations

Author Peers

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

Author						Papers	Cites
Lina Ruan	155	135	110	95	92	11	443
Gloria Castellano‐González	131 0.8×	96 0.7×	140 1.3×	101 1.1×	45 0.5×	10	491
Lei Zhang	83 0.5×	121 0.9×	81 0.7×	68 0.7×	123 1.3×	16	427
Tarapati Rana	144 0.9×	127 0.9×	67 0.6×	52 0.5×	92 1.0×	11	468
Jia Zhao	178 1.1×	90 0.7×	78 0.7×	65 0.7×	53 0.6×	22	459
Rong-Hao Mu	145 0.9×	172 1.3×	56 0.5×	66 0.7×	124 1.3×	17	466
Nuo Lan	132 0.9×	78 0.6×	100 0.9×	43 0.5×	43 0.5×	14	469
Shengnan Kuang	94 0.6×	143 1.1×	61 0.6×	33 0.3×	125 1.4×	11	396
Zhifang Deng	152 1.0×	152 1.1×	45 0.4×	37 0.4×	82 0.9×	18	415
Weam W. Ibrahim	138 0.9×	84 0.6×	136 1.2×	46 0.5×	37 0.4×	23	421
Jaegyu Hwang	138 0.9×	134 1.0×	94 0.9×	58 0.6×	78 0.8×	11	494

Countries citing papers authored by Lina Ruan

Since Specialization

Citations

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

Fields of papers citing papers by Lina Ruan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Ruan

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