Steven Flygare

3.2k total citations · 1 hit paper
11 papers, 2.0k citations indexed

About

Steven Flygare is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Steven Flygare has authored 11 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Steven Flygare's work include Genomics and Rare Diseases (4 papers), Respiratory viral infections research (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Steven Flygare is often cited by papers focused on Genomics and Rare Diseases (4 papers), Respiratory viral infections research (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Steven Flygare collaborates with scholars based in United States, Poland and Belgium. Steven Flygare's co-authors include Choli Lee, Sarah Ng, Arindam Bhattacharjee, Evan E. Eichler, Tristan Shaffer, Peggy D. Robertson, Abigail W. Bigham, Michael J. Bamshad, Jay Shendure and Michelle Wong and has published in prestigious journals such as Nature, Nature Communications and The Journal of Immunology.

In The Last Decade

Steven Flygare

11 papers receiving 1.9k 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.

Targeted capture and massively parallel sequencing of 12 human exomes

2009 1.3k citations Sarah Ng, Emily H. Turner et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven Flygare United States	9	1.1k	853	279	220	140	11	2.0k
Kati J. Buckingham United States	15	999 0.9×	951 1.1×	234 0.8×	89 0.4×	99 0.7×	29	1.9k
Harm-Jan Westra Netherlands	23	1.0k 0.9×	825 1.0×	312 1.1×	135 0.6×	131 0.9×	38	1.9k
Xiayi Ke United Kingdom	30	913 0.8×	1.1k 1.3×	191 0.7×	104 0.5×	123 0.9×	54	2.7k
Landian Hu China	30	1.9k 1.7×	610 0.7×	295 1.1×	109 0.5×	111 0.8×	79	2.6k
Samuel P. Strom United States	16	1.0k 0.9×	553 0.6×	153 0.5×	197 0.9×	95 0.7×	28	1.7k
Domènec Farré Spain	13	1.4k 1.2×	353 0.4×	417 1.5×	197 0.9×	119 0.8×	17	2.3k
Benjamin P. Fairfax United Kingdom	24	1.1k 0.9×	637 0.7×	242 0.9×	251 1.1×	176 1.3×	54	2.8k
Yukihide Momozawa Japan	30	1.1k 1.0×	1.4k 1.6×	442 1.6×	394 1.8×	193 1.4×	109	3.2k
Yosuke Kawai Japan	24	1.0k 0.9×	359 0.4×	187 0.7×	149 0.7×	165 1.2×	116	2.0k
Kevin S. Smith United States	27	1.8k 1.6×	543 0.6×	225 0.8×	203 0.9×	220 1.6×	61	3.1k

Countries citing papers authored by Steven Flygare

Since Specialization

Citations

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

Fields of papers citing papers by Steven Flygare

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Flygare

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

All Works

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11 of 11 papers shown

1.

Flygare, Steven, Edgar J. Hernández, Lon Phan, et al.. (2018). The VAAST Variant Prioritizer (VVP): ultrafast, easy to use whole genome variant prioritization tool. BMC Bioinformatics. 19(1). 57–57. 25 indexed citations

2.

Lin, Edwin, Steven Flygare, Kathryn Peterson, Frederic Clayton, & Mark Yandell. (2018). Using machine learning and RNA-seq to increase the accuracy and decrease the invasiveness of diagnosing eosinophilic esophagitis.. The Journal of Immunology. 200(Supplement_1). 174.14–174.14. 2 indexed citations

3.

Schlaberg, Robert, Krista Queen, Keith E. Simmon, et al.. (2017). Viral Pathogen Detection by Metagenomics and Pan-Viral Group Polymerase Chain Reaction in Children With Pneumonia Lacking Identifiable Etiology. The Journal of Infectious Diseases. 215(9). 1407–1415. 62 indexed citations

4.

Schlaberg, Robert, Krow Ampofo, Keith D. Tardif, et al.. (2017). Human Bocavirus Capsid Messenger RNA Detection in Children With Pneumonia. The Journal of Infectious Diseases. 216(6). 688–696. 22 indexed citations

5.

Graf, Erin H., Keith E. Simmon, Keith D. Tardif, et al.. (2016). Unbiased Detection of Respiratory Viruses by Use of RNA Sequencing-Based Metagenomics: a Systematic Comparison to a Commercial PCR Panel. Journal of Clinical Microbiology. 54(4). 1000–1007. 145 indexed citations

6.

Keefe, Alexandra, Jennifer A. Lawson, Steven Flygare, et al.. (2015). Muscle stem cells contribute to myofibres in sedentary adult mice. Nature Communications. 6(1). 7087–7087. 188 indexed citations

7.

Murphy, Malea M., Alexandra Keefe, Jennifer A. Lawson, et al.. (2014). Transiently Active Wnt/β-Catenin Signaling Is Not Required but Must Be Silenced for Stem Cell Function during Muscle Regeneration. Stem Cell Reports. 3(3). 475–488. 73 indexed citations

8.

Kennedy, Brett, Zev Kronenberg, Hao Hu, et al.. (2014). Using VAAST to Identify Disease‐Associated Variants in Next‐Generation Sequencing Data. Current Protocols in Human Genetics. 81(1). 6.14.1–6.14.25. 23 indexed citations

9.

Flygare, Steven, et al.. (2013). ImagePlane: An Automated Image Analysis Pipeline for High-Throughput Screens Using the Planarian Schmidtea mediterranea. Journal of Computational Biology. 20(8). 583–592. 1 indexed citations

10.

Hu, Hao, Chad D. Huff, Barry Moore, et al.. (2013). VAAST 2.0: Improved Variant Classification and Disease‐Gene Identification Using a Conservation‐Controlled Amino Acid Substitution Matrix. Genetic Epidemiology. 37(6). 622–634. 88 indexed citations

11.

Ng, Sarah, Emily H. Turner, Peggy D. Robertson, et al.. (2009). Targeted capture and massively parallel sequencing of 12 human exomes. Nature. 461(7261). 272–276. 1329 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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