Xianglan Wang

33 total papers · 998 total citations
22 papers, 680 citations indexed

About

Xianglan Wang is a scholar working on Cognitive Neuroscience, Molecular Biology and General Health Professions. According to data from OpenAlex, Xianglan Wang has authored 22 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Molecular Biology and 3 papers in General Health Professions. Recurrent topics in Xianglan Wang's work include Functional Brain Connectivity Studies (4 papers), Stress Responses and Cortisol (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Xianglan Wang is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Stress Responses and Cortisol (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Xianglan Wang collaborates with scholars based in China, United States and Pakistan. Xianglan Wang's co-authors include Jiansheng Li, Hongwei Wang, Jianbing Yan, Feng Qin, Shengxue Liu, Xiaohong Yang, Ali Ferjani, Deqian Li, Shengxiang Xiao and Liping Wu and has published in prestigious journals such as Nature Genetics, BMJ Open and BMC Psychiatry.

In The Last Decade

Xianglan Wang

18 papers receiving 664 citations

Hit Papers

Genetic variation in ZmVP... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Xianglan Wang 387 196 128 55 53 22 680
Tristan Chalvon‐Demersay 42 0.1× 41 0.2× 264 2.1× 6 0.1× 10 0.2× 27 791
Michael J. Snodgrass 30 0.1× 77 0.4× 127 1.0× 24 0.4× 4 0.1× 31 666
Krisztina Takács 228 0.6× 36 0.2× 228 1.8× 6 0.1× 17 0.3× 44 703
J. H. Williams 102 0.3× 43 0.2× 91 0.7× 4 0.1× 4 0.1× 39 583
Yapeng Liu 86 0.2× 31 0.2× 234 1.8× 4 0.1× 12 0.2× 49 618
Kyung-Mi Lee 257 0.7× 15 0.1× 168 1.3× 86 1.6× 4 0.1× 43 744
J.E. Turner 197 0.5× 45 0.2× 261 2.0× 4 0.1× 16 0.3× 26 782
Cécile Duclairoir Poc 78 0.2× 47 0.2× 241 1.9× 5 0.1× 156 2.9× 33 737
Graham Read 39 0.1× 52 0.3× 112 0.9× 28 0.5× 11 0.2× 22 617
Madan L. Nagpal 56 0.1× 93 0.5× 268 2.1× 4 0.1× 4 0.1× 25 763

Countries citing papers authored by Xianglan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xianglan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianglan Wang

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