Travis Drucker

842 total citations
10 papers, 523 citations indexed

About

Travis Drucker is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Travis Drucker has authored 10 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Travis Drucker's work include Genomics and Rare Diseases (4 papers), Cancer Genomics and Diagnostics (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). Travis Drucker is often cited by papers focused on Genomics and Rare Diseases (4 papers), Cancer Genomics and Diagnostics (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). Travis Drucker collaborates with scholars based in United States and Canada. Travis Drucker's co-authors include Stephen J. Murphy, George Vasmatzis, Sarah H. Johnson, Kendall W Cradic, Steven N. Hart, Faye R. Harris, Terry M. Therneau, Michael T. Kalmbach, Jacob R. Heldenbrand and Liudmila S. Mainzer and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Research.

In The Last Decade

Travis Drucker

10 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Travis Drucker United States	8	194	135	135	123	99	10	523
Joy Nakitandwe United States	12	304 1.6×	101 0.7×	58 0.4×	58 0.5×	69 0.7×	30	521
Martin Lodén Netherlands	11	328 1.7×	117 0.9×	47 0.3×	71 0.6×	190 1.9×	14	627
Marcus Rothe Germany	9	338 1.7×	134 1.0×	65 0.5×	72 0.6×	112 1.1×	11	615
Kate S. Reid-Bayliss United States	5	315 1.6×	163 1.2×	39 0.3×	94 0.8×	53 0.5×	5	449
Arjun S. Nanda United Kingdom	7	339 1.7×	336 2.5×	68 0.5×	133 1.1×	100 1.0×	9	613
Dona N. Ho Hong Kong	13	247 1.3×	109 0.8×	23 0.2×	85 0.7×	137 1.4×	18	485
Benjamin Etschmann Germany	12	157 0.8×	36 0.3×	59 0.4×	81 0.7×	67 0.7×	20	424
David C. Dorn Germany	9	378 1.9×	114 0.8×	31 0.2×	46 0.4×	147 1.5×	14	597
Wai Lin United States	12	219 1.1×	206 1.5×	40 0.3×	61 0.5×	216 2.2×	19	737
Angela Hadjipanayis United States	11	369 1.9×	252 1.9×	44 0.3×	156 1.3×	71 0.7×	14	598

Countries citing papers authored by Travis Drucker

Since Specialization

Citations

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

Fields of papers citing papers by Travis Drucker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis Drucker

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

All Works

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10 of 10 papers shown

Heldenbrand, Jacob R., Saurabh Baheti, Matthew A. Bockol, et al.. (2019). Recommendations for performance optimizations when using GATK3.8 and GATK4. BMC Bioinformatics. 20(1). 557–557. 35 indexed citations

Baheti, Saurabh, Matthew A. Bockol, Travis Drucker, et al.. (2019). Sentieon DNASeq Variant Calling Workflow Demonstrates Strong Computational Performance and Accuracy. Frontiers in Genetics. 10. 736–736. 134 indexed citations

Smadbeck, James B., Sarah H. Johnson, Stephanie A. Smoley, et al.. (2018). Copy number variant analysis using genome‐wide mate‐pair sequencing. Genes Chromosomes and Cancer. 57(9). 459–470. 41 indexed citations

Johnson, Sarah H., James B. Smadbeck, Stephanie A. Smoley, et al.. (2017). SVAtools for junction detection of genome-wide chromosomal rearrangements by mate-pair sequencing (MPseq). Cancer Genetics. 221. 1–18. 61 indexed citations

Cunningham, Scott A., Nicholas Chia, Patricio Jeraldo, et al.. (2017). Comparison of Whole-Genome Sequencing Methods for Analysis of Three Methicillin-Resistant Staphylococcus aureus Outbreaks. Journal of Clinical Microbiology. 55(6). 1946–1953. 52 indexed citations

Murphy, Stephen J., Steven N. Hart, Geoffrey C. Halling, et al.. (2015). Integrated Genomic Analysis of Pancreatic Ductal Adenocarcinomas Reveals Genomic Rearrangement Events as Significant Drivers of Disease. Cancer Research. 76(3). 749–761. 25 indexed citations

Cradic, Kendall W, Stephen J. Murphy, Travis Drucker, et al.. (2014). A simple method for gene phasing using mate pair sequencing. BMC Medical Genetics. 15(1). 19–19. 7 indexed citations

Murphy, Stephen J., Marie-Christine Aubry, Faye R. Harris, et al.. (2014). Identification of Independent Primary Tumors and Intrapulmonary Metastases Using DNA Rearrangements in Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. 32(36). 4050–4058. 100 indexed citations

Drucker, Travis, Sarah H. Johnson, Stephen J. Murphy, et al.. (2014). BIMA V3: an aligner customized for mate pair library sequencing. Bioinformatics. 30(11). 1627–1629. 67 indexed citations

10.

Drucker, Travis. (2005). To The Note. 26(1). 59. 1 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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