Collin Melton

5.1k total citations · 2 hit papers
18 papers, 2.5k citations indexed

About

Collin Melton is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Collin Melton has authored 18 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Collin Melton's work include Cancer Genomics and Diagnostics (6 papers), MicroRNA in disease regulation (6 papers) and Pluripotent Stem Cells Research (5 papers). Collin Melton is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), MicroRNA in disease regulation (6 papers) and Pluripotent Stem Cells Research (5 papers). Collin Melton collaborates with scholars based in United States, Canada and United Kingdom. Collin Melton's co-authors include Robert Blelloch, Robert L. Judson, Yangming Wang, Rudolf Jaenisch, Nayoung Suh, Archana Shenoy, Lauren Baehner, Jing Chen, Felix Moltzahn and M Snyder and has published in prestigious journals such as Nature, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Collin Melton

16 papers receiving 2.5k citations

Hit Papers

DGCR8 is essential for microRNA biogenesis and silencing ... 2007 2026 2013 2019 2007 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Collin Melton United States 12 2.1k 1.5k 227 189 130 18 2.5k
Michael Mitchell United Kingdom 9 1.7k 0.8× 468 0.3× 106 0.5× 227 1.2× 402 3.1× 12 2.1k
Praveen Sethupathy United States 13 1.5k 0.7× 1.4k 0.9× 35 0.2× 112 0.6× 80 0.6× 27 1.9k
Madeleine Carreau Canada 18 1.6k 0.7× 487 0.3× 115 0.5× 273 1.4× 214 1.6× 44 1.9k
Eric M. Kallin United States 13 2.0k 1.0× 349 0.2× 51 0.2× 279 1.5× 123 0.9× 16 2.4k
Kirk J. McManus Canada 27 1.9k 0.9× 447 0.3× 49 0.2× 223 1.2× 491 3.8× 77 2.3k
Atsuya Nishiyama Japan 16 1.4k 0.6× 242 0.2× 91 0.4× 242 1.3× 200 1.5× 29 1.6k
Qiu Wu China 16 2.2k 1.0× 714 0.5× 46 0.2× 233 1.2× 363 2.8× 57 2.7k
Christine Dolde United States 11 1.7k 0.8× 791 0.5× 41 0.2× 204 1.1× 452 3.5× 14 2.1k
Irmgard Irminger‐Finger Switzerland 27 1.3k 0.6× 348 0.2× 54 0.2× 456 2.4× 451 3.5× 54 1.9k
Katherine Minter‐Dykhouse United States 14 1.7k 0.8× 348 0.2× 66 0.3× 160 0.8× 707 5.4× 15 2.0k

Countries citing papers authored by Collin Melton

Since Specialization
Citations

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

Fields of papers citing papers by Collin Melton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Collin Melton

This figure shows the co-authorship network connecting the top 25 collaborators of Collin Melton. A scholar is included among the top collaborators of Collin Melton 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 Collin Melton. Collin Melton 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.
McDonald, Kerry S., Jéssica Nora Drum, J.G.N. Moraes, et al.. (2025). Effect of FGF2, LIF, IGF1 supplementation on pregnancy success following embryo transfer of in vitro derived embryos. Theriogenology. 245. 117533–117533.
3.
Bossé, Yohan, Abhijit Dasgupta, Violeta Beleva Guthrie, et al.. (2024). Prognostic implication of methylation-based circulating tumor DNA detection prior to surgery in stage I non-small cell lung cancer. Cancer Letters. 594. 216984–216984. 6 indexed citations
4.
Melton, Collin, Peter Freese, Archana Shenoy, et al.. (2023). A Novel Tissue-Free Method to Estimate Tumor-Derived Cell-Free DNA Quantity Using Tumor Methylation Patterns. Cancers. 16(1). 82–82. 9 indexed citations
5.
Jangi, Mohini, Shoujie Chai, Yifan Zhou, et al.. (2023). Abstract LB297: Analytical validation of a tissue-free, multi-cancer, post-diagnosis cancer research test that uses cell-free DNA methylation profiling. Cancer Research. 83(8_Supplement). LB297–LB297. 2 indexed citations
6.
Chen, Xiaoji, Dong Zhao, Earl Hubbell, et al.. (2021). Prognostic Significance of Blood-Based Multi-cancer Detection in Plasma Cell-Free DNA. Clinical Cancer Research. 27(15). 4221–4229. 79 indexed citations
7.
Zhang, Wei, Ana Bojorquez-Gomez, Daniel Ortiz Velez, et al.. (2018). A global transcriptional network connecting noncoding mutations to changes in tumor gene expression. Nature Genetics. 50(4). 613–620. 85 indexed citations
8.
Melton, Collin, Noelle E. Huskey, Olga Momčilović, et al.. (2015). Fas-Activated Mitochondrial Apoptosis Culls Stalled Embryonic Stem Cells to Promote Differentiation. Current Biology. 25(23). 3110–3118. 16 indexed citations
9.
Melton, Collin, Jason Reuter, Damek V. Spacek, & M Snyder. (2015). Recurrent somatic mutations in regulatory regions of human cancer genomes. Nature Genetics. 47(7). 710–716. 168 indexed citations
10.
Yan, Yuelong, Yaping Li, Xiaohui Yin, et al.. (2014). Suppression of epithelial–mesenchymal transition and apoptotic pathways by miR-294/302 family synergistically blocks let-7-induced silencing of self-renewal in embryonic stem cells. Cell Death and Differentiation. 22(7). 1158–1169. 34 indexed citations
11.
Wang, Yangming, Collin Melton, Yapu Li, et al.. (2013). miR-294/miR-302 Promotes Proliferation, Suppresses G1-S Restriction Point, and Inhibits ESC Differentiation through Separable Mechanisms. Cell Reports. 4(1). 99–109. 73 indexed citations
12.
Chen, Jing, Collin Melton, Nayoung Suh, et al.. (2011). Genome-wide analysis of translation reveals a critical role for deleted in azoospermia-like ( Dazl ) at the oocyte-to-zygote transition. Genes & Development. 25(7). 755–766. 198 indexed citations
13.
Babiarz, Joshua, Ruby Hsu, Collin Melton, et al.. (2011). A role for noncanonical microRNAs in the mammalian brain revealed by phenotypic differences in Dgcr8 versus Dicer1 knockouts and small RNA sequencing. RNA. 17(8). 1489–1501. 96 indexed citations
14.
Suh, Nayoung, Lauren Baehner, Felix Moltzahn, et al.. (2010). MicroRNA Function Is Globally Suppressed in Mouse Oocytes and Early Embryos. Current Biology. 20(3). 271–277. 338 indexed citations
15.
Melton, Collin, Robert L. Judson, & Robert Blelloch. (2010). Opposing microRNA families regulate self-renewal in mouse embryonic stem cells. Nature. 463(7281). 621–626. 542 indexed citations breakdown →
16.
Melton, Collin & Robert Blelloch. (2010). MicroRNA Regulation of Embryonic Stem Cell Self-Renewal and Differentiation. Advances in experimental medicine and biology. 695. 105–117. 51 indexed citations
17.
Chaivorapol, Christina, Collin Melton, Grace Wei, et al.. (2008). CompMoby: Comparative MobyDick for detection of cis-regulatory motifs. BMC Bioinformatics. 9(1). 455–455. 5 indexed citations
18.
Wang, Yangming, et al.. (2007). DGCR8 is essential for microRNA biogenesis and silencing of embryonic stem cell self-renewal. Nature Genetics. 39(3). 380–385. 781 indexed citations breakdown →

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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