Victoria X. Wang

2.0k total citations · 1 hit paper
9 papers, 560 citations indexed

About

Victoria X. Wang is a scholar working on Molecular Biology, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Victoria X. Wang has authored 9 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cognitive Neuroscience and 3 papers in Genetics. Recurrent topics in Victoria X. Wang's work include Genetics and Neurodevelopmental Disorders (2 papers), Bat Biology and Ecology Studies (2 papers) and Functional Brain Connectivity Studies (2 papers). Victoria X. Wang is often cited by papers focused on Genetics and Neurodevelopmental Disorders (2 papers), Bat Biology and Ecology Studies (2 papers) and Functional Brain Connectivity Studies (2 papers). Victoria X. Wang collaborates with scholars based in United States, South Africa and United Kingdom. Victoria X. Wang's co-authors include Cheuk Y. Tang, Anita E. Autry, Yu Zhou, Kannan Umadevi Venkataraju, Johannes Kohl, Christoph Kirst, Marc Tessier‐Lavigne, Nicolas Renier, Catherine Dulac and Ricardo Antunes Azevedo and has published in prestigious journals such as Cell, PLoS ONE and The Journal of Comparative Neurology.

In The Last Decade

Victoria X. Wang

9 papers receiving 552 citations

Hit Papers

Mapping of Brain Activity by Automated Volume Analysis of... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Victoria X. Wang United States 6 199 181 161 115 56 9 560
Chris Jurgens United States 6 201 1.0× 201 1.1× 179 1.1× 89 0.8× 12 0.2× 10 497
Punita Bhansali United States 6 400 2.0× 206 1.1× 209 1.3× 37 0.3× 49 0.9× 7 709
Jérémie Kalfon United States 5 115 0.6× 127 0.7× 252 1.6× 232 2.0× 11 0.2× 8 515
Csaba Erö Switzerland 3 128 0.6× 54 0.3× 140 0.9× 136 1.2× 13 0.2× 3 400
Staci A. Sorensen United States 9 221 1.1× 104 0.6× 309 1.9× 246 2.1× 43 0.8× 12 612
Daniel J. Vanselow United States 8 101 0.5× 64 0.4× 63 0.4× 73 0.6× 112 2.0× 15 428
Thuc Nghi Nguyen United States 12 388 1.9× 69 0.4× 303 1.9× 406 3.5× 92 1.6× 16 1.2k
Hans Ulrich Dodt Germany 6 418 2.1× 144 0.8× 571 3.5× 179 1.6× 36 0.6× 9 832
Huatai Xu China 11 361 1.8× 85 0.5× 490 3.0× 283 2.5× 22 0.4× 19 992
Masafumi Takaji Japan 11 192 1.0× 42 0.2× 263 1.6× 202 1.8× 36 0.6× 13 502

Countries citing papers authored by Victoria X. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Victoria X. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria X. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria X. Wang. A scholar is included among the top collaborators of Victoria X. 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 Victoria X. Wang. Victoria X. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wang, Victoria X., Cheuk Y. Tang, Paul J. Kenny, et al.. (2023). Generative artificial intelligence-enabled dynamic detection of rat nicotine-related circuits. Neural Computing and Applications. 36(9). 4693–4707. 1 indexed citations
2.
Tang, Cheuk Y., Victoria X. Wang, Joshua S. Mincer, et al.. (2021). Transient changes in white matter microstructure during general anesthesia. PLoS ONE. 16(3). e0247678–e0247678. 6 indexed citations
3.
Wang, Victoria X., et al.. (2021). Reduced brain volume and white matter alterations in Shank3 ‐deficient rats. Autism Research. 14(9). 1837–1842. 9 indexed citations
4.
Yee, Yohan, Victoria X. Wang, Hala Harony‐Nicolas, et al.. (2020). Reduced axonal caliber and structural changes in a rat model of Fragile X syndrome with a deletion of a K-Homology domain of Fmr1. Translational Psychiatry. 10(1). 280–280. 5 indexed citations
5.
Yoon, Yonejung, Georgios Voloudakis, Lei Chen, et al.. (2020). PS1 FAD mutants decrease ephrinB2-regulated angiogenic functions, ischemia-induced brain neovascularization and neuronal survival. Molecular Psychiatry. 26(6). 1996–2012. 5 indexed citations
6.
Curtin, Paul, Victoria X. Wang, Erik de Water, et al.. (2020). Respirator usage protects brain white matter from welding fume exposure: A pilot magnetic resonance imaging study of welders. NeuroToxicology. 78. 202–208. 1 indexed citations
7.
Bertelsen, Mads F., Adhil Bhagwandin, Mark Haagensen, et al.. (2020). Brain of the African wild dog. I. Anatomy, architecture, and volumetrics. The Journal of Comparative Neurology. 528(18). 3245–3261. 8 indexed citations
8.
Spocter, Muhammad A., Johnny Ng, Edmund Wong, et al.. (2018). Scaling of the corpus callosum in wild and domestic canids: Insights into the domesticated brain. The Journal of Comparative Neurology. 526(15). 2341–2359. 9 indexed citations
9.
Renier, Nicolas, Eliza L. Adams, Christoph Kirst, et al.. (2016). Mapping of Brain Activity by Automated Volume Analysis of Immediate Early Genes. Cell. 165(7). 1789–1802. 516 indexed citations breakdown →

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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