Colin C. Collins

42.4k total citations · 7 hit papers
201 papers, 16.6k citations indexed

About

Colin C. Collins is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Colin C. Collins has authored 201 papers receiving a total of 16.6k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Molecular Biology, 69 papers in Pulmonary and Respiratory Medicine and 67 papers in Cancer Research. Recurrent topics in Colin C. Collins's work include Prostate Cancer Treatment and Research (60 papers), Cancer Genomics and Diagnostics (33 papers) and Genomic variations and chromosomal abnormalities (31 papers). Colin C. Collins is often cited by papers focused on Prostate Cancer Treatment and Research (60 papers), Cancer Genomics and Diagnostics (33 papers) and Genomic variations and chromosomal abnormalities (31 papers). Colin C. Collins collaborates with scholars based in Canada, United States and United Kingdom. Colin C. Collins's co-authors include Joe W. Gray, Richard Segraves, Yuzhuo Wang, David Kowbel, Donna G. Albertson, Stanislav Volik, James C. Fuscoe, Shanaz H. Dairkee, Wen-Lin Kuo and J. E. Landegent and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Colin C. Collins

194 papers receiving 16.3k citations

Hit Papers

High resolution analysis of DNA copy number variation usi... 1988 2026 2000 2013 1998 1988 1997 1999 1998 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays
    1998 1.6k citations Colin C. Collins, Joe W. Gray et al. profile →
  2. Fluorescence in situ hybridization with human chromosome-specific libraries: detection of trisomy 21 and translocations of chromosome 4.
    1988 1.1k citations Colin C. Collins, Joe W. Gray et al. profile →
  3. Alagille syndrome is caused by mutations in human Jagged1, which encodes a ligand for Notch1
    1997 928 citations Colin C. Collins et al. profile →
  4. PIK3CA is implicated as an oncogene in ovarian cancer
    1999 925 citations Colin C. Collins, Joe W. Gray et al. profile →
  5. Identification of a gene encoding an acyl CoA:diacylglycerol acyltransferase, a key enzyme in triacylglycerol synthesis
    1998 896 citations Colin C. Collins et al. profile →
  6. Chromosome aberrations in solid tumors
    2003 578 citations Colin C. Collins, Joe W. Gray et al. profile →
  7. Androgen Receptor Gene Aberrations in Circulating Cell-Free DNA: Biomarkers of Therapeutic Resistance in Castration-Resistant Prostate Cancer
    2015 367 citations Arun Azad, Stanislav Volik et al. Clinical Cancer Research profile →

Peers

Colin C. Collins
Frank J. Rauscher United States
Ivan Bièche France
Michael I. Lerman United States
Thomas Ried United States
Yusuke Nakamura Japan
Gregory J. Riggins United States
Christoph Plass Germany
Arul M. Chinnaiyan United States
Jorma Isola Finland
Jos Jonkers Netherlands
Frank J. Rauscher United States
Colin C. Collins
Citations per year, relative to Colin C. Collins Colin C. Collins (= 1×) peers Frank J. Rauscher

Countries citing papers authored by Colin C. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Colin C. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin C. Collins. 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 Colin C. Collins. The network helps show where Colin C. Collins may publish in the future.

Co-authorship network of co-authors of Colin C. Collins

This figure shows the co-authorship network connecting the top 25 collaborators of Colin C. Collins. A scholar is included among the top collaborators of Colin C. Collins 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 Colin C. Collins. Colin C. Collins 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, Yen‐Yi, et al.. (2025). scMUSCL: multi-source transfer learning for clustering scRNA-seq data. Bioinformatics. 41(5).
2.
Lin, Yen‐Yi, et al.. (2024). Phenotype prediction from single-cell RNA-seq data using attention-based neural networks. Bioinformatics. 40(2). 8 indexed citations
3.
Espen, Benjamin Van, Htoo Zarni Oo, Colin C. Collins, et al.. (2023). RNF185 Control of COL3A1 Expression Limits Prostate Cancer Migration and Metastatic Potential. Molecular Cancer Research. 22(1). 41–54. 5 indexed citations
4.
Nouri, Mannan, Josselin Caradec, Amy A. Lubik, et al.. (2020). Transient Sox9 Expression Facilitates Resistance to Androgen-Targeted Therapy in Prostate Cancer. Clinical Cancer Research. 26(7). 1678–1689. 29 indexed citations
5.
Hodzic, Ermin, Raunak Shrestha, Salem Malikić, et al.. (2020). Identification of conserved evolutionary trajectories in tumors. Bioinformatics. 36(Supplement_1). i427–i435. 9 indexed citations
6.
Sharifi-Noghabi, Hossein, et al.. (2020). AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics. Bioinformatics. 36(Supplement_1). i380–i388. 37 indexed citations
7.
Hodzic, Ermin, et al.. (2019). Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer Subnetworks. GigaScience. 8(4). 8 indexed citations
8.
Sharifi-Noghabi, Hossein, Olga Zolotareva, Colin C. Collins, & Martin Ester. (2019). MOLI: multi-omics late integration with deep neural networks for drug response prediction. Bioinformatics. 35(14). i501–i509. 248 indexed citations
9.
Gawronski, Alexander, Michaël Uhl, Yajia Zhang, et al.. (2018). MechRNA: prediction of lncRNA mechanisms from RNA–RNA and RNA–protein interactions. Bioinformatics. 34(18). 3101–3110. 43 indexed citations
10.
Ci, Xinpei, Jun Hao, Xin Dong, et al.. (2018). Heterochromatin Protein 1α Mediates Development and Aggressiveness of Neuroendocrine Prostate Cancer. Cancer Research. 78(10). 2691–2704. 55 indexed citations
11.
Lin, Yen‐Yi, Phineas T. Hamilton, S. Cenk Şahinalp, et al.. (2017). Mutational Analysis of Gene Fusions Predicts Novel MHC Class I–Restricted T-Cell Epitopes and Immune Signatures in a Subset of Prostate Cancer. Clinical Cancer Research. 23(24). 7596–7607. 17 indexed citations
12.
Beltran, Himisha, Alexander W. Wyatt, Edmund C.P. Chedgy, et al.. (2017). Impact of Therapy on Genomics and Transcriptomics in High-Risk Prostate Cancer Treated with Neoadjuvant Docetaxel and Androgen Deprivation Therapy. Clinical Cancer Research. 23(22). 6802–6811. 52 indexed citations
13.
Gawronski, Alexander, Faraz Hach, Sujun Li, et al.. (2017). Computational identification of micro-structural variations and their proteogenomic consequences in cancer. Bioinformatics. 34(10). 1672–1681. 8 indexed citations
14.
Choi, Stephen Yiu Chuen, Hui Xue, Rebecca Wu, et al.. (2016). The MCT4 Gene: A Novel, Potential Target for Therapy of Advanced Prostate Cancer. Clinical Cancer Research. 22(11). 2721–2733. 79 indexed citations
15.
Shrestha, Raunak, Hui Xue, Yuwei Wang, et al.. (2016). BIRC6 Targeting as Potential Therapy for Advanced, Enzalutamide-Resistant Prostate Cancer. Clinical Cancer Research. 23(6). 1542–1551. 25 indexed citations
16.
Azad, Arun, Stanislav Volik, Alexander W. Wyatt, et al.. (2015). Androgen Receptor Gene Aberrations in Circulating Cell-Free DNA: Biomarkers of Therapeutic Resistance in Castration-Resistant Prostate Cancer. Clinical Cancer Research. 21(10). 2315–2324. 367 indexed citations breakdown →
17.
Yamamoto, Yoshiaki, Yohann Loriot, Eliana Beraldi, et al.. (2015). Generation 2.5 Antisense Oligonucleotides Targeting the Androgen Receptor and Its Splice Variants Suppress Enzalutamide-Resistant Prostate Cancer Cell Growth. Clinical Cancer Research. 21(7). 1675–1687. 105 indexed citations
18.
Pra, Alan Dal, Emilie Lalonde, Jenna Sykes, et al.. (2013). TMPRSS2-ERG Status Is Not Prognostic Following Prostate Cancer Radiotherapy: Implications for Fusion Status and DSB Repair. Clinical Cancer Research. 19(18). 5202–5209. 33 indexed citations
19.
Littlepage, Laurie E., Adam S. Adler, Hosein Kouros‐Mehr, et al.. (2012). The Transcription Factor ZNF217 Is a Prognostic Biomarker and Therapeutic Target during Breast Cancer Progression. Cancer Discovery. 2(7). 638–651. 54 indexed citations
20.
Paris, Pamela L., Vivian Weinberg, Giancarlo Albo, et al.. (2009). A Group of Genome-Based Biomarkers That Add to a Kattan Nomogram for Predicting Progression in Men with High-Risk Prostate Cancer. Clinical Cancer Research. 16(1). 195–202. 25 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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