Victoria M.-Y. Wang

549 total citations
8 papers, 344 citations indexed

About

Victoria M.-Y. Wang is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Victoria M.-Y. Wang has authored 8 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Victoria M.-Y. Wang's work include Cancer Cells and Metastasis (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Autophagy in Disease and Therapy (2 papers). Victoria M.-Y. Wang is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Autophagy in Disease and Therapy (2 papers). Victoria M.-Y. Wang collaborates with scholars based in United Kingdom, United States and Germany. Victoria M.-Y. Wang's co-authors include Axel Behrens, Rute M. M. Ferreira, Theodore Evan, Hendrik A. Messal, Silvanus Alt, Guillaume Salbreux, Christopher Gribben, Eleanor Herbert, Joana Carvalho and Jorge Almagro and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Victoria M.-Y. Wang

8 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victoria M.-Y. Wang United Kingdom 6 179 141 99 80 47 8 344
Elizabeth A. Loughran United States 7 202 1.1× 132 0.9× 90 0.9× 61 0.8× 35 0.7× 9 393
Pavla Bouchalová Czechia 9 160 0.9× 93 0.7× 60 0.6× 72 0.9× 35 0.7× 16 283
Alyssa D. Schwartz United States 8 161 0.9× 182 1.3× 102 1.0× 105 1.3× 122 2.6× 10 397
Elke Pietschmann Germany 3 188 1.1× 219 1.6× 115 1.2× 75 0.9× 24 0.5× 4 346
Nikolai Schleußner Germany 5 96 0.5× 138 1.0× 59 0.6× 90 1.1× 39 0.8× 9 286
Sarah B. Crist United States 7 298 1.7× 235 1.7× 108 1.1× 85 1.1× 32 0.7× 10 452
Shivee Gilja United States 3 175 1.0× 207 1.5× 117 1.2× 65 0.8× 20 0.4× 5 359
Jessica Kalra Canada 11 270 1.5× 88 0.6× 71 0.7× 54 0.7× 34 0.7× 16 404
Kendelle J. Murphy Australia 8 142 0.8× 204 1.4× 72 0.7× 51 0.6× 56 1.2× 12 324

Countries citing papers authored by Victoria M.-Y. Wang

Since Specialization
Citations

This map shows the geographic impact of Victoria M.-Y. 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 M.-Y. 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 M.-Y. Wang more than expected).

Fields of papers citing papers by Victoria M.-Y. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria M.-Y. Wang

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

All Works

8 of 8 papers shown
1.
Miao, Zhen, Kari Koppitch, Victoria M.-Y. Wang, et al.. (2025). Controlling nephron precursor differentiation to generate proximal-biased kidney organoids with emerging maturity. Nature Communications. 16(1). 8136–8136. 1 indexed citations
2.
Baudot, Alice D., Victoria M.-Y. Wang, Jim O’Prey, et al.. (2022). Glycan degradation promotes macroautophagy. Proceedings of the National Academy of Sciences. 119(26). e2111506119–e2111506119. 7 indexed citations
3.
Evan, Theodore, Victoria M.-Y. Wang, & Axel Behrens. (2022). The roles of intratumour heterogeneity in the biology and treatment of pancreatic ductal adenocarcinoma. Oncogene. 41(42). 4686–4695. 29 indexed citations
4.
Wang, Victoria M.-Y., Rute M. M. Ferreira, Jorge Almagro, et al.. (2019). CD9 identifies pancreatic cancer stem cells and modulates glutamine metabolism to fuel tumour growth. Nature Cell Biology. 21(11). 1425–1435. 99 indexed citations
5.
New, Maria I., Tim Van Acker, Jun-Ichi Sakamaki, et al.. (2019). MDH1 and MPP7 Regulate Autophagy in Pancreatic Ductal Adenocarcinoma. Cancer Research. 79(8). 1884–1898. 29 indexed citations
6.
Messal, Hendrik A., Silvanus Alt, Rute M. M. Ferreira, et al.. (2019). Tissue curvature and apicobasal mechanical tension imbalance instruct cancer morphogenesis. Nature. 566(7742). 126–130. 114 indexed citations
7.
Nowak, Dawid G., Hyejin Cho, Tali Herzka, et al.. (2015). MYC Drives Pten/Trp53 -Deficient Proliferation and Metastasis due to IL6 Secretion and AKT Suppression via PHLPP2. Cancer Discovery. 5(6). 636–651. 64 indexed citations
8.
Sherman, Rachel M., et al.. (2015). Cross-species conservation of complementary amino acid-ribonucleobase interactions and their potential for ribosome-free encoding. Scientific Reports. 5(1). 18054–18054. 1 indexed citations

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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