Damian Yap

9.2k total citations · 1 hit paper
24 papers, 1.9k citations indexed

About

Damian Yap is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Damian Yap has authored 24 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Damian Yap's work include Epigenetics and DNA Methylation (7 papers), Cancer-related Molecular Pathways (6 papers) and Cancer Genomics and Diagnostics (5 papers). Damian Yap is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Cancer-related Molecular Pathways (6 papers) and Cancer Genomics and Diagnostics (5 papers). Damian Yap collaborates with scholars based in Canada, United Kingdom and United States. Damian Yap's co-authors include Samuel Aparício, Sohrab P. Shah, Adrian Wan, Emma Laks, Andrew Roth, Alexandre Bouchard‐Côté, Justina Biele, Xin Lü, Gavin Ha and Jaswinder Khattra and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Damian Yap

24 papers receiving 1.9k citations

Hit Papers

PyClone: statistical inference of clonal population struc... 2014 2026 2018 2022 2014 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
Damian Yap Canada 18 1.3k 671 548 304 224 24 1.9k
Tatiana Popova France 20 1.5k 1.1× 899 1.3× 831 1.5× 256 0.8× 532 2.4× 39 2.4k
Hena R. Ashar United States 12 1.2k 0.9× 380 0.6× 522 1.0× 122 0.4× 177 0.8× 13 1.6k
Loris Bernard Italy 14 1.4k 1.0× 643 1.0× 754 1.4× 120 0.4× 264 1.2× 18 2.1k
Elisabeth Mueller‐Holzner Austria 18 1.5k 1.1× 523 0.8× 679 1.2× 187 0.6× 199 0.9× 31 2.1k
Sara Widaa United Kingdom 3 762 0.6× 632 0.9× 354 0.6× 159 0.5× 266 1.2× 3 1.3k
Sajani Swamy United States 6 743 0.6× 537 0.8× 262 0.5× 192 0.6× 228 1.0× 6 1.2k
Eleonor Olsson Sweden 12 678 0.5× 617 0.9× 668 1.2× 136 0.4× 98 0.4× 14 1.4k
Nataliya Melnyk Canada 15 898 0.7× 523 0.8× 422 0.8× 345 1.1× 167 0.7× 18 2.0k
Alison Cheung Canada 14 1.3k 1.0× 488 0.7× 684 1.2× 104 0.3× 162 0.7× 26 1.9k
Andrew Lawson United Kingdom 13 817 0.6× 698 1.0× 291 0.5× 197 0.6× 194 0.9× 23 1.5k

Countries citing papers authored by Damian Yap

Since Specialization
Citations

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

Fields of papers citing papers by Damian Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Yap

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

All Works

20 of 20 papers shown
1.
Araki, Shinsuke, Momoko Ohori, Amal M. El-Naggar, et al.. (2019). Pharmacological systems analysis defines EIF4A3 functions in cell-cycle and RNA stress granule formation. Communications Biology. 2(1). 165–165. 30 indexed citations
2.
Farahani, Hossein, Camila P. E. de Souza, Damian Yap, et al.. (2017). Engineered in-vitro cell line mixtures and robust evaluation of computational methods for clonal decomposition and longitudinal dynamics in cancer. Scientific Reports. 7(1). 13467–13467. 3 indexed citations
3.
Wang, Yemin, Anthony N. Karnezis, Shane Colborne, et al.. (2017). The histone methyltransferase EZH2 is a therapeutic target in small cell carcinoma of the ovary, hypercalcaemic type. The Journal of Pathology. 242(3). 371–383. 71 indexed citations
4.
Roth, Andrew, Andrew McPherson, Emma Laks, et al.. (2016). Clonal genotype and population structure inference from single-cell tumor sequencing. Nature Methods. 13(7). 573–576. 75 indexed citations
5.
Wang, Yemin, Jiamin Chen, Winnie Yang, et al.. (2015). The Oncogenic Roles of DICER1 RNase IIIb Domain Mutations in Ovarian Sertoli-Leydig Cell Tumors. Neoplasia. 17(8). 650–660. 59 indexed citations
6.
Burleigh, Angela, Steven McKinney, Jazmine Brimhall, et al.. (2015). A co-culture genome-wide RNAi screen with mammary epithelial cells reveals transmembrane signals required for growth and differentiation. Breast Cancer Research. 17(1). 4–4. 14 indexed citations
7.
Yun, Haiyang, Frédérik Damm, Damian Yap, et al.. (2014). Impact of MLL5 expression on decitabine efficacy and DNA methylation in acute myeloid leukemia. Haematologica. 99(9). 1456–1464. 23 indexed citations
8.
Roth, Andrew, Jaswinder Khattra, Damian Yap, et al.. (2014). PyClone: statistical inference of clonal population structure in cancer. Nature Methods. 11(4). 396–398. 575 indexed citations breakdown →
9.
Lemak, Alexander, Adelinda Yee, Hong Wu, et al.. (2013). Solution NMR Structure and Histone Binding of the PHD Domain of Human MLL5. PLoS ONE. 8(10). e77020–e77020. 21 indexed citations
10.
Prentice, Leah, Xavier d’Anglemont de Tassigny, Steven McKinney, et al.. (2011). The testosterone-dependent and independent transcriptional networks in the hypothalamus of Gpr54 and Kiss1 knockout male mice are not fully equivalent. BMC Genomics. 12(1). 209–209. 12 indexed citations
11.
Yap, Damian, David C. Walker, Leah Prentice, et al.. (2011). Mll5 Is Required for Normal Spermatogenesis. PLoS ONE. 6(11). e27127–e27127. 37 indexed citations
12.
Berg, Tobias, Damian Yap, Silvia Thoene, et al.. (2011). Mutated EZH2 Collaborates with Myc in Inducing Lymphoma in a Mouse Model. Blood. 118(21). 227–227. 3 indexed citations
13.
Yap, Damian, Justin Chu, Tobias Berg, et al.. (2010). Somatic mutations at EZH2 Y641 act dominantly through a mechanism of selectively altered PRC2 catalytic activity, to increase H3K27 trimethylation. Blood. 117(8). 2451–2459. 435 indexed citations
14.
Gillotin, Sébastien, Damian Yap, & Xin Lü. (2010). Mutation at Ser392 specifically sensitizes mutant p53H175 to mdm2-mediated degradation. Cell Cycle. 9(7). 1390–1398. 16 indexed citations
15.
Heuser, Michael, Damian Yap, Teresa Ruiz de Algara, et al.. (2008). Loss of Mll5 results in pleiotropic hematopoietic defects, reduced neutrophil immune function, and extreme sensitivity to DNA demethylation. Blood. 113(7). 1432–1443. 76 indexed citations
16.
Fogal, Valentina, Giuseppe Trigiante, Susana Llanos, et al.. (2005). ASPP1 and ASPP2 are new transcriptional targets of E2F. Cell Death and Differentiation. 12(4). 369–376. 44 indexed citations
17.
Hsieh, Jung-Kuang, Damian Yap, Daniel O’Connor, et al.. (2002). Novel Function of the Cyclin A Binding Site of E2F in Regulating p53-Induced Apoptosis in Response to DNA Damage. Molecular and Cellular Biology. 22(1). 78–93. 85 indexed citations
18.
Yap, Damian, Jung-Kuang Hsieh, & Xin Lü. (2000). Mdm2 Inhibits the Apoptotic Function of p53 Mainly by Targeting It for Degradation. Journal of Biological Chemistry. 275(47). 37296–37302. 20 indexed citations
19.
Yap, Damian, Jung-Kuang Hsieh, Florence Chan, & Xin Lü. (1999). mdm2: a bridge over the two tumour suppressors, p53 and Rb. Oncogene. 18(53). 7681–7689. 76 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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