Nicholas J. Wang

6.0k total citations
21 papers, 984 citations indexed

About

Nicholas J. Wang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Nicholas J. Wang has authored 21 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Nicholas J. Wang's work include Genomic variations and chromosomal abnormalities (6 papers), Cancer Genomics and Diagnostics (5 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Nicholas J. Wang is often cited by papers focused on Genomic variations and chromosomal abnormalities (6 papers), Cancer Genomics and Diagnostics (5 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Nicholas J. Wang collaborates with scholars based in United States, United Kingdom and Canada. Nicholas J. Wang's co-authors include N. Carolyn Schanen, Joe W. Gray, Paul T. Spellman, Dahai Liu, Xuping Wang, Aldons J. Lusis, Weibin Shi, Victor Sun, Diana M. Shih and N. Seifert and has published in prestigious journals such as Nature Communications, PLoS ONE and Circulation Research.

In The Last Decade

Nicholas J. Wang

21 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas J. Wang United States 15 408 265 240 192 160 21 984
B. Bishop United States 15 526 1.3× 138 0.5× 53 0.2× 101 0.5× 44 0.3× 37 954
Matthew J. Sale United Kingdom 15 918 2.3× 36 0.1× 122 0.5× 390 2.0× 39 0.2× 22 1.2k
Rachel Brandt United States 12 452 1.1× 131 0.5× 390 1.6× 328 1.7× 27 0.2× 27 1.1k
Xi Rao China 21 908 2.2× 100 0.4× 511 2.1× 181 0.9× 26 0.2× 56 1.4k
Hoseok Song South Korea 10 673 1.6× 65 0.2× 229 1.0× 421 2.2× 8 0.1× 18 966
Andrea Degasperi United Kingdom 13 746 1.8× 154 0.6× 496 2.1× 234 1.2× 10 0.1× 21 1.3k
Brian Hayes United States 15 505 1.2× 64 0.2× 76 0.3× 65 0.3× 9 0.1× 44 884
Tongxin Xie United States 14 804 2.0× 64 0.2× 249 1.0× 707 3.7× 29 0.2× 41 1.5k
Sophia Liu United States 11 483 1.2× 74 0.3× 111 0.5× 164 0.9× 8 0.1× 28 928
Satoshi Okawa Japan 17 811 2.0× 51 0.2× 102 0.4× 55 0.3× 85 0.5× 67 1.2k

Countries citing papers authored by Nicholas J. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas J. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas J. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Wang. A scholar is included among the top collaborators of Nicholas J. 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 Nicholas J. Wang. Nicholas J. Wang 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.
Lin, Chieh‐Yu, Sujay Vennam, Natasha Purington, et al.. (2019). Genomic landscape of ductal carcinoma in situ and association with progression. Breast Cancer Research and Treatment. 178(2). 307–316. 12 indexed citations
2.
Hafner, Marc, Laura M. Heiser, Elizabeth H. Williams, et al.. (2017). Quantification of sensitivity and resistance of breast cancer cell lines to anti-cancer drugs using GR metrics. Scientific Data. 4(1). 170166–170166. 24 indexed citations
3.
Schwartzman, Jacob, Daniel J. Coleman, Nicholas J. Wang, et al.. (2017). Integrative molecular network analysis identifies emergent enzalutamide resistance mechanisms in prostate cancer. Oncotarget. 8(67). 111084–111095. 8 indexed citations
4.
Fei, Suzanne S., Cathy D. Vocke, C. Ricketts, et al.. (2016). Patient-specific factors influence somatic variation patterns in von Hippel–Lindau disease renal tumours. Nature Communications. 7(1). 11588–11588. 18 indexed citations
5.
Butler, Timothy, Myron Peto, Nicholas J. Wang, et al.. (2015). Exome Sequencing of Cell-Free DNA from Metastatic Cancer Patients Identifies Clinically Actionable Mutations Distinct from Primary Disease. PLoS ONE. 10(8). e0136407–e0136407. 88 indexed citations
6.
Safina, Alfiya, Mairead Commane, Andrei A. Purmal, et al.. (2015). ARTIK-52 induces replication-dependent DNA damage and p53 activation exclusively in cells of prostate and breast cancer origin. Cell Cycle. 15(3). 455–470. 2 indexed citations
7.
Petrillo, Laura A., Denise M. Wolf, Ann M. Kapoun, et al.. (2012). Xenografts faithfully recapitulate breast cancer-specific gene expression patterns of parent primary breast tumors. Breast Cancer Research and Treatment. 135(3). 913–922. 31 indexed citations
8.
Daemen, Anneleen, Denise M. Wolf, James E. Korkola, et al.. (2012). Cross-platform pathway-based analysis identifies markers of response to the PARP inhibitor olaparib. Breast Cancer Research and Treatment. 135(2). 505–517. 56 indexed citations
9.
Heiser, Laura M., Nicholas J. Wang, Carolyn Talcott, et al.. (2009). Integrated analysis of breast cancer cell lines reveals unique signaling pathways. Genome biology. 10(3). R31–R31. 46 indexed citations
10.
Hodgson, John, Ru-Fang Yeh, Amrita Ray, et al.. (2009). Comparative analyses of gene copy number and mRNA expression in glioblastoma multiforme tumors and xenografts. Neuro-Oncology. 11(5). 477–487. 113 indexed citations
11.
Wu, David, Nicholas J. Wang, Naghmeh Dorrani, et al.. (2009). Autistic disorder associated with a paternally derived unbalanced translocation leading to duplication of chromosome 15pter-q13.2: a case report. Molecular Cytogenetics. 2(1). 27–27. 26 indexed citations
12.
Wang, Nicholas J., et al.. (2008). Multiple forms of atypical rearrangements generating supernumerary derivative chromosome 15. BMC Genetics. 9(1). 2–2. 28 indexed citations
13.
Wang, Nicholas J., et al.. (2007). Atypical breakpoints generating mosaic interstitial duplication and triplication of chromosome 15q11–q13. American Journal of Medical Genetics Part A. 143A(20). 2473–2477. 1 indexed citations
14.
Wang, Yuker, Martin Moorhead, George Karlin‐Neumann, et al.. (2007). Analysis of molecular inversion probe performance for allele copy number determination. Genome biology. 8(11). R246–R246. 55 indexed citations
15.
Wang, Nicholas J.. (2007). Cost Effective Soft Error Mitigation in Microprocessors. 1 indexed citations
16.
17.
Zhang, Ming, Subhasish Mitra, Terrence Mak, et al.. (2006). Sequential Element Design With Built-In Soft Error Resilience. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 14(12). 1368–1378. 158 indexed citations
18.
Wang, Nicholas J., et al.. (2004). High-Resolution Molecular Characterization of 15q11-q13 Rearrangements by Array Comparative Genomic Hybridization (Array CGH) with Detection of Gene Dosage. The American Journal of Human Genetics. 75(2). 267–281. 93 indexed citations
19.
Shi, Weibin, Nicholas J. Wang, Diana M. Shih, et al.. (2000). Determinants of Atherosclerosis Susceptibility in the C3H and C57BL/6 Mouse Model. Circulation Research. 86(10). 1078–1084. 123 indexed citations
20.
Shi, Weibin, Xuping Wang, Nicholas J. Wang, William H. McBride, & Aldons J. Lusis. (2000). Effect of Macrophage-Derived Apolipoprotein E on Established Atherosclerosis in Apolipoprotein E–Deficient Mice. Arteriosclerosis Thrombosis and Vascular Biology. 20(10). 2261–2266. 27 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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