Mona K. Wu

1.4k total citations
11 papers, 409 citations indexed

About

Mona K. Wu is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mona K. Wu has authored 11 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mona K. Wu's work include Congenital Diaphragmatic Hernia Studies (7 papers), RNA modifications and cancer (2 papers) and Urinary and Genital Oncology Studies (2 papers). Mona K. Wu is often cited by papers focused on Congenital Diaphragmatic Hernia Studies (7 papers), RNA modifications and cancer (2 papers) and Urinary and Genital Oncology Studies (2 papers). Mona K. Wu collaborates with scholars based in Canada, Qatar and Ireland. Mona K. Wu's co-authors include William D. Foulkes, Leanne de Kock, Somayyeh Fahiminiya, Nelly Sabbaghian, Marc R. Fabian, Maureen J. O’Sullivan, Özgür Mete, Jonathan D. Wasserman, Rose Chami and Adam Shlien and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Human Pathology.

In The Last Decade

Mona K. Wu

11 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona K. Wu Canada 10 248 148 133 88 61 11 409
Einar Brekkan Sweden 13 122 0.5× 171 1.2× 71 0.5× 54 0.6× 26 0.4× 20 376
Masamichi Enya Japan 10 202 0.8× 100 0.7× 44 0.3× 16 0.2× 84 1.4× 18 361
Julie Guilmette United States 11 168 0.7× 44 0.3× 48 0.4× 83 0.9× 94 1.5× 15 360
Georgios Karagiannis Greece 11 77 0.3× 38 0.3× 77 0.6× 117 1.3× 23 0.4× 17 355
Akihiko Hashi Japan 12 192 0.8× 94 0.6× 86 0.6× 22 0.3× 225 3.7× 27 482
Archana Srivastava Canada 4 140 0.6× 112 0.8× 79 0.6× 12 0.1× 34 0.6× 9 233
W. Permanetter Germany 10 139 0.6× 87 0.6× 38 0.3× 79 0.9× 13 0.2× 35 330
Nadia Ben Lagha France 8 60 0.2× 80 0.5× 119 0.9× 40 0.5× 8 0.1× 16 272
Morten Frost Nielsen Denmark 6 47 0.2× 54 0.4× 83 0.6× 50 0.6× 20 0.3× 13 296
Carmen M. Perrino United States 10 132 0.5× 105 0.7× 72 0.5× 10 0.1× 27 0.4× 28 256

Countries citing papers authored by Mona K. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mona K. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona K. Wu. 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 Mona K. Wu. The network helps show where Mona K. Wu may publish in the future.

Co-authorship network of co-authors of Mona K. Wu

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

All Works

11 of 11 papers shown
1.
Wu, Mona K., et al.. (2023). DICER1 platform domain missense variants inhibit miRNA biogenesis and lead to tumor susceptibility. NAR Cancer. 5(3). zcad030–zcad030. 2 indexed citations
2.
Kock, Leanne de, Mona K. Wu, & William D. Foulkes. (2019). Ten years of DICER1 mutations: Provenance, distribution, and associated phenotypes. Human Mutation. 40(11). 1939–1953. 80 indexed citations
3.
Apellániz-Ruiz, María, Matthias Kettwig, Rabea Wagener, et al.. (2019). Mesenchymal Hamartoma of the Liver and DICER1 Syndrome. New England Journal of Medicine. 380(19). 1834–1842. 30 indexed citations
4.
Wasserman, Jonathan D., Nelly Sabbaghian, Somayyeh Fahiminiya, et al.. (2018). DICER1 Mutations Are Frequent in Adolescent-Onset Papillary Thyroid Carcinoma. The Journal of Clinical Endocrinology & Metabolism. 103(5). 2009–2015. 88 indexed citations
5.
Wu, Mona K., Gordan Vujanić, Somayyeh Fahiminiya, et al.. (2017). Anaplastic sarcomas of the kidney are characterized by DICER1 mutations. Modern Pathology. 31(1). 169–178. 51 indexed citations
6.
Wu, Mona K., Maura B. Cotter, Jane Pears, et al.. (2016). Tumor progression in DICER1-mutated cystic nephroma—witnessing the genesis of anaplastic sarcoma of the kidney. Human Pathology. 53. 114–120. 23 indexed citations
7.
Wu, Mona K., Catherine Goudie, Harriet Druker, et al.. (2016). Evolution of Renal Cysts to Anaplastic Sarcoma of Kidney in a Child With DICER1 Syndrome. Pediatric Blood & Cancer. 63(7). 1272–1275. 23 indexed citations
8.
Kock, Leanne de, Timothée Revil, Pierre Bérubé, et al.. (2016). Deep Sequencing Reveals Spatially Distributed Distinct Hot Spot Mutations in DICER1-Related Multinodular Goiter. The Journal of Clinical Endocrinology & Metabolism. 101(10). 3637–3645. 28 indexed citations
9.
Jarry, Jonathan, Jean‐Sébastien Brunet, Rachel Laframboise, et al.. (2011). A survey of APC mutations in Quebec. Familial Cancer. 10(4). 659–665. 10 indexed citations
10.
Hou, Juan, Yongjun Zhao, Mona K. Wu, et al.. (2007). A systematic screen for genes expressed in definitive endoderm by Serial Analysis of Gene Expression (SAGE). BMC Developmental Biology. 7(1). 92–92. 45 indexed citations
11.
Juriloff, D. M., et al.. (2001). Multifactorial genetics of exencephaly in SELH/Bc mice. Teratology. 64(4). 189–200. 29 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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