James Taylor

32.3k total citations · 10 hit papers
91 papers, 16.3k citations indexed

About

James Taylor is a scholar working on Molecular Biology, Information Systems and Management and Information Systems. According to data from OpenAlex, James Taylor has authored 91 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 32 papers in Information Systems and Management and 17 papers in Information Systems. Recurrent topics in James Taylor's work include Scientific Computing and Data Management (32 papers), Genomics and Phylogenetic Studies (24 papers) and Genomics and Chromatin Dynamics (16 papers). James Taylor is often cited by papers focused on Scientific Computing and Data Management (32 papers), Genomics and Phylogenetic Studies (24 papers) and Genomics and Chromatin Dynamics (16 papers). James Taylor collaborates with scholars based in United States, Germany and Australia. James Taylor's co-authors include Anton Nekrutenko, Jeremy Goecks, Daniel Blankenberg, Gherman Uritskiy, Jocelyne DiRuggiero, Enis Afgan, Ross C. Hardison, Dave Clements, Gregory Von Kuster and Dannon Baker and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

James Taylor

90 papers receiving 16.0k citations

Hit Papers

5 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.

Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences

2010 2.6k citations Jeremy Goecks, Anton Nekrutenko et al. profile →
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update

2018 2.4k citations Enis Afgan, Dannon Baker et al. profile →
Galaxy: A platform for interactive large-scale genome analysis

2005 1.5k citations Belinda Giardine, Cathy Riemer et al. Genome Research profile →
MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis

2018 1.5k citations Gherman Uritskiy, Jocelyne DiRuggiero et al. profile →
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update

2016 1.5k citations Enis Afgan, Dannon Baker et al. profile →
Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists

2010 1.1k citations Daniel Blankenberg, Anton Nekrutenko et al. profile →
Architectural Protein Subclasses Shape 3D Organization of Genomes during Lineage Commitment

2013 871 citations Michael E.G. Sauria, James Taylor et al. profile →
Manipulation of FASTQ data with Galaxy

2010 520 citations Daniel Blankenberg, James Taylor et al. Bioinformatics profile →
Ten Simple Rules for Reproducible Computational Research

2013 418 citations Geir Kjetil Sandve, Anton Nekrutenko et al. PLoS Computational Biology profile →
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update

2020 316 citations Vahid Jalili, Enis Afgan et al. profile →

Peers

Countries citing papers authored by James Taylor

Since Specialization

Citations

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

Fields of papers citing papers by James Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of James Taylor. A scholar is included among the top collaborators of James Taylor 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 James Taylor. James Taylor 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

#	Work	Indexed citations
1	Exploring barriers to sickle cell disease care in a lower-middle income country – A qualitative exploration of the Tharu perspective in rural Nepal 2023 ·Clinical Epidemiology and Global Health ·Alice Liu, (unknown), Kevin Liang, (unknown), Armaan K. Malhotra, (unknown), (unknown), James Taylor, (unknown), Sophia Lee, (unknown), (unknown)	3
2	Hidden dynamic signatures drive substrate selectivity in the disordered phosphoproteome 2020 ·Proceedings of the National Academy of Sciences ·(unknown), James O. Wrabl, James Taylor, Vincent J. Hilser	12
3	No more business as usual: Agile and effective responses to emerging pathogen threats require open data and open analytics 2020 ·PLoS Pathogens ·Dannon Baker, Marius van den Beek, Daniel Blankenberg, Dave Bouvier, John Chilton, Nate Coraor, Frederik Coppens, Ignacio Eguinoa, Simon Gladman, Björn Grüning, (unknown), Delphine Larivière, Andrew Lonie, Sergei L. Kosakovsky Pond, Wolfgang Maier, Anton Nekrutenko, James Taylor, Steven Weaver	17
4	The full-length transcriptome of C. elegans using direct RNA sequencing 2020 ·Genome Research ·Nathan Roach, Norah Sadowski, Amelia F. Alessi, Winston Timp, James Taylor, John K. Kim	71
5	Thermodynamic Profiles of Phosphoproteins Suggest a General Fundamental Role for Serine/Threonine Phosphorylation Sites with +1 Proline (S/T-P) In Eukaryotes 2020 ·Biophysical Journal ·(unknown), Vincent J. Hilser, James Taylor	1
6	Cloud bursting galaxy: federated identity and access management 2019 ·Bioinformatics ·Vahid Jalili, Enis Afgan, James Taylor, Jeremy Goecks	11
7	Halophilic microbial community compositional shift after a rare rainfall in the Atacama Desert 2019 ·The ISME Journal ·Gherman Uritskiy, Samantha Getsin, (unknown), Benito Gómez‐Silva, Alfonso F. Dávila, B. Glass, James Taylor, Jocelyne DiRuggiero	53
8	Thyroid hormone signaling specifies cone subtypes in human retinal organoids 2018 ·Science ·Kiara C. Eldred, Sarah E. Hadyniak, Katarzyna A. Hussey, Boris Brenerman, Ping-Wu Zhang, Xitiz Chamling, Valentin M. Sluch, Derek S. Welsbie, Samer Hattar, James Taylor, Karl Wahlin, Donald J. Zack, Robert J. Johnston	185
9	Natural variation in stochastic photoreceptor specification and color preference in Drosophila 2017 ·eLife ·(unknown), (unknown), Cyrus Zhou, (unknown), (unknown), (unknown), (unknown), Peter DeFord, Alan O. Bergland, Elijah Roberts, James Taylor, Daniel Vasiliauskas, Robert J. Johnston	20
10	Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers 2017 ·PLoS Computational Biology ·Björn Grüning, (unknown), Boris Rebolledo‐Jaramillo, Carl Eberhard, Torsten Houwaart, John Chilton, Nate Coraor, Rolf Backofen, James Taylor, Anton Nekrutenko	51
11	Chromatin States in Mouse Sperm Correlate with Embryonic and Adult Regulatory Landscapes 2017 ·Cell Reports ·Yoon Hee Jung, Michael E.G. Sauria, Xiaowen Lyu, Manjinder S. Cheema, Juan Ausió, James Taylor, Victor G. Corces	202
12	Genome-wide comparative analysis reveals human-mouse regulatory landscape and evolution 2015 ·BMC Genomics ·Olgert Denas, Richard Sandstrom, Yong Cheng, Kathryn Beal, Javier Herrero, Ross C. Hardison, James Taylor	42
13	Ten Simple Rules for Reproducible Computational Research breakdown → 2013 ·PLoS Computational Biology ·Geir Kjetil Sandve, Anton Nekrutenko, James Taylor, Eivind Hovig	418
14	The anatomy of successful computational biology software 2013 ·Nature Biotechnology ·Stephen F. Altschul, Barry Demchak, Richard Durbin, Robert Gentleman, Martin Krzywinski, Heng Li, Anton Nekrutenko, James Robinson, Wayne Rasband, James Taylor, Cole Trapnell	18
15	Integrative Approach Reveals Composition of Endoparasitoid Wasp Venoms 2013 ·PLoS ONE ·Jeremy Goecks, Nathan T. Mortimer, James A. Mobley, (unknown), James Taylor, Todd A. Schlenke	76
16	Genomic approaches towards finding cis-regulatory modules in animals 2012 ·Nature Reviews Genetics ·Ross C. Hardison, James Taylor	157
17	Finding cis-regulatory elements using comparative genomics: Some lessons from ENCODE data 2007 ·Genome Research ·David King, James Taylor, Ying Zhang, Yong Cheng, Heather A. Lawson, Joel Martin, (unknown), Francesca Chiaromonte, Webb Miller, Ross C. Hardison	53
18	Experimental validation of predicted mammalian erythroid cis-regulatory modules 2006 ·Genome Research ·Hao Wang, Ying Zhang, Yong Cheng, (unknown), David King, James Taylor, Francesca Chiaromonte, Jyotsna Kasturi, Hanna M. Petrykowska, (unknown), Christine M. Dorman, Webb Miller, Louis C. Doré, John J. Welch, Mitchell J. Weiss, Ross C. Hardison	47
19	ESPERR: Learning strong and weak signals in genomic sequence alignments to identify functional elements 2006 ·Genome Research ·James Taylor, Svitlana Tyekucheva, David King, Ross C. Hardison, Webb Miller, Francesca Chiaromonte	86
20	Galaxy: A platform for interactive large-scale genome analysis breakdown → 2005 ·Genome Research ·Belinda Giardine, Cathy Riemer, Ross C. Hardison, Richard Burhans, Laura Elnitski, Prachi Shah, Yi Zhang, Daniel Blankenberg, István Albert, James Taylor, Webb Miller, W. James Kent, Anton Nekrutenko	1541

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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