Minlan Yuan

73 total papers · 1.2k total citations
50 papers, 758 citations indexed

About

Minlan Yuan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Minlan Yuan has authored 50 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 18 papers in Experimental and Cognitive Psychology and 10 papers in Clinical Psychology. Recurrent topics in Minlan Yuan's work include Functional Brain Connectivity Studies (19 papers), Mental Health Research Topics (12 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers). Minlan Yuan is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Mental Health Research Topics (12 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers). Minlan Yuan collaborates with scholars based in China, United States and Australia. Minlan Yuan's co-authors include Wei Zhang, Hongru Zhu, Su Lui, Changjian Qiu, Qiyong Gong, Zhengjia Ren, Yajing Meng, Fenfen Ge, Yan Zhang and Yuchen Li and has published in prestigious journals such as Scientific Reports, Cerebral Cortex and Neuropsychopharmacology.

In The Last Decade

Minlan Yuan

39 papers receiving 746 citations

Author Peers

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

Author						Papers	Cites
Minlan Yuan	350	238	144	80	80	50	758
Jonathan Repple	296 0.8×	167 0.7×	135 0.9×	48 0.6×	62 0.8×	45	644
Lian Du	494 1.4×	164 0.7×	132 0.9×	52 0.7×	72 0.9×	43	869
Teddy J. Akiki	470 1.3×	183 0.8×	249 1.7×	38 0.5×	114 1.4×	25	858
June Kang	323 0.9×	107 0.4×	87 0.6×	99 1.2×	115 1.4×	46	743
Susanne Meinert	316 0.9×	188 0.8×	149 1.0×	39 0.5×	64 0.8×	37	688
Yange Wei	274 0.8×	147 0.6×	115 0.8×	176 2.2×	112 1.4×	40	801
M. Catalina Camacho	344 1.0×	152 0.6×	253 1.8×	59 0.7×	55 0.7×	39	818
Hongru Zhu	508 1.5×	289 1.2×	181 1.3×	23 0.3×	41 0.5×	50	773
Serenella Tolomeo	333 1.0×	192 0.8×	117 0.8×	60 0.8×	33 0.4×	37	827
Robin Shao	287 0.8×	142 0.6×	126 0.9×	35 0.4×	60 0.8×	45	624

Countries citing papers authored by Minlan Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Minlan Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minlan Yuan

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