Kyle Ellrott

31.6k total citations · 1 hit paper
28 papers, 6.2k citations indexed

About

Kyle Ellrott is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Kyle Ellrott has authored 28 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Kyle Ellrott's work include Bioinformatics and Genomic Networks (8 papers), Cancer Genomics and Diagnostics (8 papers) and Genomics and Phylogenetic Studies (7 papers). Kyle Ellrott is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Cancer Genomics and Diagnostics (8 papers) and Genomics and Phylogenetic Studies (7 papers). Kyle Ellrott collaborates with scholars based in United States, Canada and Australia. Kyle Ellrott's co-authors include Joshua M. Stuart, Ilya Shmulevich, Kenna Shaw, Gordon B. Mills, John N. Weinstein, Brad Ozenberger, Chris Sander, Ying Xu, David Haussler and Tao Jiang and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Kyle Ellrott

26 papers receiving 6.1k citations

Hit Papers

align trajectories

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.

The Cancer Genome Atlas Pan-Cancer analysis project

2013 5.4k citations John N. Weinstein, Gordon B. Mills et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle Ellrott United States	13	4.4k	2.4k	1.2k	935	599	28	6.2k
Brad Ozenberger United States	2	3.9k 0.9×	2.2k 0.9×	1.1k 0.9×	900 1.0×	605 1.0×	2	5.6k
Holly K. Dressman United States	39	4.5k 1.0×	1.9k 0.8×	1.4k 1.2×	716 0.8×	581 1.0×	75	6.7k
Yidong Chen United States	46	5.4k 1.2×	1.9k 0.8×	961 0.8×	583 0.6×	545 0.9×	215	7.3k
Florian Markowetz United Kingdom	33	2.9k 0.7×	1.6k 0.7×	1.4k 1.3×	717 0.8×	473 0.8×	94	5.6k
Lao H. Saal Sweden	30	4.7k 1.1×	2.0k 0.8×	2.1k 1.8×	1.1k 1.2×	857 1.4×	76	7.2k
Fabio Vandin Italy	18	3.5k 0.8×	2.0k 0.8×	1.2k 1.1×	651 0.7×	604 1.0×	62	5.2k
Sampsa Hautaniemi Finland	49	4.9k 1.1×	1.6k 0.6×	1.5k 1.3×	777 0.8×	1.1k 1.8×	186	7.6k
Jack X. Yu United States	16	3.4k 0.8×	1.8k 0.8×	1.8k 1.6×	705 0.8×	484 0.8×	20	5.2k
Anke Witteveen Netherlands	10	5.1k 1.2×	3.1k 1.3×	2.7k 2.3×	869 0.9×	1.0k 1.7×	18	8.1k
Kenna Shaw United States	28	4.7k 1.1×	3.2k 1.3×	2.3k 2.0×	1.6k 1.7×	700 1.2×	83	7.9k

Countries citing papers authored by Kyle Ellrott

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Ellrott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Ellrott

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kanitz, Alexander, et al.. (2024). The GA4GH Task Execution Application Programming Interface: Enabling Easy Multicloud Task Execution. Computing in Science & Engineering. 26(3). 30–39.

Goecks, Jeremy, et al.. (2024). SyntheVAEiser: augmenting traditional machine learning methods with VAE-based gene expression sample generation for improved cancer subtype predictions. Genome biology. 25(1). 309–309. 1 indexed citations

Maden, Sean K., Brian Walsh, Kyle Ellrott, et al.. (2023). recountmethylation enables flexible analysis of public blood DNA methylation array data. Bioinformatics Advances. 3(1). vbad020–vbad020. 2 indexed citations

Struck, Adam J., et al.. (2020). Exploring Integrative Analysis Using the BioMedical Evidence Graph. JCO Clinical Cancer Informatics. 4(4). 147–159. 2 indexed citations

Wood, Mary A., Austin Nguyen, Adam J. Struck, et al.. (2019). neoepiscope improves neoepitope prediction with multivariant phasing. Bioinformatics. 36(3). 713–720. 20 indexed citations

Sendorek, Dorota H.S., Takafumi N. Yamaguchi, Christine P’ng, et al.. (2018). Valection: design optimization for validation and verification studies. BMC Bioinformatics. 19(1). 339–339. 3 indexed citations

Wood, Mary A., Austin Nguyen, Adam J. Struck, et al.. (2018). Population-level distribution and putative immunogenicity of cancer neoepitopes. BMC Cancer. 18(1). 414–414. 22 indexed citations

Sendorek, Dorota H.S., Cristian Caloian, Kyle Ellrott, et al.. (2018). Germline contamination and leakage in whole genome somatic single nucleotide variant detection. BMC Bioinformatics. 19(1). 28–28. 6 indexed citations

Newton, Yulia, Adam M. Novak, Teresa Swatloski, et al.. (2017). TumorMap: Exploring the Molecular Similarities of Cancer Samples in an Interactive Portal. Cancer Research. 77(21). e111–e114. 41 indexed citations

10.

Paull, Evan, Kiley Graim, Christopher K. Wong, et al.. (2017). Prophetic Granger Causality to infer gene regulatory networks. PLoS ONE. 12(12). e0170340–e0170340. 6 indexed citations

11.

Weinstein, John N., Gordon B. Mills, Kenna Shaw, et al.. (2013). The Cancer Genome Atlas Pan-Cancer analysis project. Nature Genetics. 45(10). 1113–1120. 5399 indexed citations breakdown →

12.

Omberg, Larsson, Kyle Ellrott, Yuan Yuan, et al.. (2013). Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome Atlas. Nature Genetics. 45(10). 1121–1126. 75 indexed citations

13.

Goldman, Mary J., Brian Craft, Teresa Swatloski, et al.. (2012). The UCSC Cancer Genomics Browser: update 2013. Nucleic Acids Research. 41(D1). D949–D954. 129 indexed citations

14.

Ellrott, Kyle, Christian M. Zmasek, Daniel Weekes, et al.. (2010). TOPSAN: a dynamic web database for structural genomics. Nucleic Acids Research. 39(Database). D494–D496. 16 indexed citations

15.

Ellrott, Kyle, Lukasz Jaroszewski, Weizhong Li, John Wooley, & Adam Godzik. (2010). Expansion of the Protein Repertoire in Newly Explored Environments: Human Gut Microbiome Specific Protein Families. PLoS Computational Biology. 6(6). e1000798–e1000798. 58 indexed citations

16.

Ellrott, Kyle, et al.. (2008). A Historical Perspective of Template-Based Protein Structure Prediction. Humana Press eBooks. 413. 3–42. 19 indexed citations

17.

Guo, Jingzhong, et al.. (2004). PROSPECT-PSPP: an automatic computational pipeline for protein structure prediction. Nucleic Acids Research. 32(Web Server). W522–W525. 10 indexed citations

18.

Kim, Dongwoo, Dong Xu, Jingzhong Guo, Kyle Ellrott, & Ying Xu. (2003). PROSPECT II: protein structure prediction program for genome-scale applications. Protein Engineering Design and Selection. 16(9). 641–650. 78 indexed citations

19.

Shah, Manesh, Dongsup Kim, Kyle Ellrott, et al.. (2003). A computational pipeline for protein structure prediction and analysis at genome scale. Bioinformatics. 19(15). 1985–1996. 15 indexed citations

20.

Ellrott, Kyle, Chuhu Yang, Frances M. Sladek, & Tao Jiang. (2002). Identifying transcription factor binding sites throughMarkov chain optimization. Bioinformatics. 18(suppl_2). S100–S109. 67 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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