Nataliya Melnyk

6.6k total citations · 1 hit paper
18 papers, 2.0k citations indexed

About

Nataliya Melnyk is a scholar working on Molecular Biology, Reproductive Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Nataliya Melnyk has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Reproductive Medicine and 4 papers in Obstetrics and Gynecology. Recurrent topics in Nataliya Melnyk's work include Ovarian cancer diagnosis and treatment (5 papers), Endometrial and Cervical Cancer Treatments (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Nataliya Melnyk is often cited by papers focused on Ovarian cancer diagnosis and treatment (5 papers), Endometrial and Cervical Cancer Treatments (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Nataliya Melnyk collaborates with scholars based in Canada, United States and United Kingdom. Nataliya Melnyk's co-authors include David G. Huntsman, Janine Senz, C. Blake Gilks, Winnie Yang, Jessica N. McAlpine, Melissa K. McConechy, Sohrab P. Shah, Hector Li-Chang, Aline Talhouk and Janice S. Kwon and has published in prestigious journals such as Nature Medicine, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Nataliya Melnyk

17 papers receiving 2.0k citations

Hit Papers

A clinically applicable molecular-based classification fo... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nataliya Melnyk Canada 15 898 755 738 523 422 18 2.0k
Leah Prentice Canada 18 909 1.0× 1.0k 1.4× 540 0.7× 456 0.9× 552 1.3× 26 2.2k
Lluís Catasús Spain 27 1.2k 1.4× 869 1.2× 933 1.3× 684 1.3× 592 1.4× 51 2.6k
Jennifer L. Santos Canada 13 809 0.9× 1.3k 1.7× 558 0.8× 527 1.0× 416 1.0× 21 2.0k
Christine Chow Canada 18 648 0.7× 618 0.8× 378 0.5× 312 0.6× 384 0.9× 41 1.5k
Tsui-Lien Mao Taiwan 25 2.0k 2.3× 1.4k 1.9× 513 0.7× 654 1.3× 574 1.4× 31 3.2k
Jolanta Kupryjańczyk Poland 23 839 0.9× 606 0.8× 137 0.2× 472 0.9× 485 1.1× 70 1.7k
Els Van Nieuwenhuysen Belgium 20 372 0.4× 630 0.8× 227 0.3× 325 0.6× 559 1.3× 99 1.3k
Douglas I. Lin United States 26 1.4k 1.5× 212 0.3× 229 0.3× 417 0.8× 1.0k 2.4× 112 2.6k
Stefanie Avril United States 22 649 0.7× 264 0.3× 114 0.2× 418 0.8× 801 1.9× 45 1.7k
Johanna Tapper Finland 14 701 0.8× 267 0.4× 85 0.1× 353 0.7× 339 0.8× 22 1.4k

Countries citing papers authored by Nataliya Melnyk

Since Specialization
Citations

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

Fields of papers citing papers by Nataliya Melnyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nataliya Melnyk

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

All Works

18 of 18 papers shown
1.
Uddin, Sharmeen, Nataliya Melnyk, & David A. Foster. (2020). Albumin promotes the progression of fibroblasts through late G1 into S-phase in the absence of growth factors. Cell Cycle. 19(17). 2158–2167. 5 indexed citations
2.
Xing, Deyin, Nataliya Melnyk, Christina Isacson, et al.. (2016). Frequent NFIB-associated Gene Rearrangement in Adenoid Cystic Carcinoma of the Vulva. International Journal of Gynecological Pathology. 36(3). 289–293. 24 indexed citations
3.
Talhouk, Aline, Melissa K. McConechy, Samuel Leung, et al.. (2015). A clinically applicable molecular-based classification for endometrial cancers. British Journal of Cancer. 113(2). 299–310. 622 indexed citations breakdown →
4.
Ali, Rola H., Salah Al-Waheeb, Waleed Al-Ali, et al.. (2014). Molecular characterization of a population-based series of endometrial stromal sarcomas in Kuwait. Human Pathology. 45(12). 2453–2462. 7 indexed citations
5.
Anglesio, Michael S., Kimberly C. Wiegand, Nataliya Melnyk, et al.. (2013). Correction: Type-Specific Cell Line Models for Type-Specific Ovarian Cancer Research. PLoS ONE. 8(10). 31 indexed citations
6.
McConechy, Melissa K., Jiarui Ding, Janine Senz, et al.. (2013). Ovarian and endometrial endometrioid carcinomas have distinct CTNNB1 and PTEN mutation profiles. Modern Pathology. 27(1). 128–134. 186 indexed citations
7.
Anglesio, Michael S., Kimberly C. Wiegand, Nataliya Melnyk, et al.. (2013). Type-Specific Cell Line Models for Type-Specific Ovarian Cancer Research. PLoS ONE. 8(9). e72162–e72162. 197 indexed citations
8.
Azimi, Farshad C., Rola H. Ali, Cheng‐Han Lee, et al.. (2012). Endometrial sarcomas: an immunohistochemical and JAZF1 re-arrangement study in low-grade and undifferentiated tumors. Modern Pathology. 26(1). 95–105. 31 indexed citations
9.
Hunter, Sally M., Michael S. Anglesio, Raghwa Sharma, et al.. (2011). Copy Number Aberrations in Benign Serous Ovarian Tumors: A Case for Reclassification?. Clinical Cancer Research. 17(23). 7273–7282. 17 indexed citations
10.
Chiang, Sarah, Rola H. Ali, Nataliya Melnyk, et al.. (2011). Frequency of Known Gene Rearrangements in Endometrial Stromal Tumors. The American Journal of Surgical Pathology. 35(9). 1364–1372. 93 indexed citations
11.
McPherson, Andrew, Fereydoun Hormozdiari, Gavin Ha, et al.. (2011). deFuse: An Algorithm for Gene Fusion Discovery in Tumor RNA-Seq Data. PLoS Computational Biology. 7(5). e1001138–e1001138. 325 indexed citations
12.
Tognon, Cristina E., Aruna M. Somasiri, Valentina Evdokimova, et al.. (2010). ETV6-NTRK3–Mediated Breast Epithelial Cell Transformation Is Blocked by Targeting the IGF1R Signaling Pathway. Cancer Research. 71(3). 1060–1070. 52 indexed citations
13.
Cooke, Susanna L., Charlotte K.Y. Ng, Nataliya Melnyk, et al.. (2010). Genomic analysis of genetic heterogeneity and evolution in high-grade serous ovarian carcinoma. Oncogene. 29(35). 4905–4913. 126 indexed citations
14.
Melnyk, Nataliya, et al.. (2010). HORMONAL CARCINOGENESIS OF THE OVARYAND ITS MODELING METHODS. Clinical anatomy and operative surgery. 9(2). 126–130. 1 indexed citations
15.
Schrader, Kasmintan A., Janine Senz, Alireza Heravi‐Moussavi, et al.. (2009). The Specificity of the FOXL2 c.402C>G Somatic Mutation: A Survey of Solid Tumors. PLoS ONE. 4(11). e7988–e7988. 71 indexed citations
16.
Zhang, Liyong, Michael S. Anglesio, Maureen J. O’Sullivan, et al.. (2007). The E3 ligase HACE1 is a critical chromosome 6q21 tumor suppressor involved in multiple cancers. Nature Medicine. 13(9). 1060–1069. 113 indexed citations
17.
Martin, Matthew J., Nataliya Melnyk, Mary Bowden, et al.. (2006). The Insulin-Like Growth Factor I Receptor Is Required for Akt Activation and Suppression of Anoikis in Cells Transformed by the ETV6-NTRK3 Chimeric Tyrosine Kinase. Molecular and Cellular Biology. 26(5). 1754–1769. 57 indexed citations
18.
Anglesio, Michael S., Valentina Evdokimova, Nataliya Melnyk, et al.. (2004). Differential expression of a novel ankyrin containing E3 ubiquitin-protein ligase, Hace1, in sporadic Wilms' tumor versus normal kidney. Human Molecular Genetics. 13(18). 2061–2074. 91 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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