Brian J. Raney

24.4k total citations · 2 hit papers
24 papers, 2.6k citations indexed

About

Brian J. Raney is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Brian J. Raney has authored 24 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Genetics and 7 papers in Plant Science. Recurrent topics in Brian J. Raney's work include Genomics and Phylogenetic Studies (16 papers), Chromosomal and Genetic Variations (7 papers) and Genome Rearrangement Algorithms (6 papers). Brian J. Raney is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), Chromosomal and Genetic Variations (7 papers) and Genome Rearrangement Algorithms (6 papers). Brian J. Raney collaborates with scholars based in United States, United Kingdom and Australia. Brian J. Raney's co-authors include David Haussler, Ann S. Zweig, Hiram Clawson, Angie S. Hinrichs, Galt P Barber, Benedict Paten, Matthew L Speir, Maximilian Haeussler, Kate R. Rosenbloom and W. James Kent and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Brian J. Raney

24 papers receiving 2.5k 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 UCSC Genome Browser database: 2019 update

2018 547 citations Maximilian Haeussler, Ann S. Zweig et al. Nucleic Acids Research profile →
The UCSC Genome Browser database: 2025 update

2024 113 citations Galt P Barber, Anna Benet‐Pagès et al. Nucleic Acids Research profile →

Peers

Countries citing papers authored by Brian J. Raney

Since Specialization

Citations

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

Fields of papers citing papers by Brian J. Raney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Raney. 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 Brian J. Raney. The network helps show where Brian J. Raney may publish in the future.

Co-authorship network of co-authors of Brian J. Raney

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Raney. A scholar is included among the top collaborators of Brian J. Raney 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 Brian J. Raney. Brian J. Raney 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	The UCSC Genome Browser database: 2025 update breakdown → 2024 ·Nucleic Acids Research ·(unknown), Galt P Barber, Anna Benet‐Pagès, Jonathan D. Casper, Hiram Clawson, Mark Diekhans, Clay Fischer, Jairo Navarro Gonzalez, Angie S. Hinrichs, Christopher M. Lee, Luis R Nassar, Brian J. Raney, Matthew L Speir, Marijke J. van Baren, Charles Vaske, D. Haussler, W. James Kent, Maximilian Haeussler	113
2	The dynseq browser track shows context-specific features at nucleotide resolution 2022 ·Nature Genetics ·Surag Nair, (unknown), Daofeng Li, Brian J. Raney, Brian T. Lee, Peter Kerpedjiev, (unknown), Anusri Pampari, Fritz Lekschas, Ting Wang, Maximilian Haeussler, Anshul Kundaje	3
3	UCSC Cell Browser: visualize your single-cell data 2021 ·Bioinformatics ·Matthew L Speir, Aparna Bhaduri, Nikolay S. Markov, Pablo Moreno, Tomasz J. Nowakowski, Irene Papatheodorou, Alex A. Pollen, Brian J. Raney, Lucas Seninge, W. James Kent, Maximilian Haeussler	144
4	The UCSC SARS-CoV-2 Genome Browser 2020 ·Nature Genetics ·Jason D. Fernandes, Angie S. Hinrichs, Hiram Clawson, Jairo Navarro Gonzalez, Brian T. Lee, Luis R Nassar, Brian J. Raney, Kate R. Rosenbloom, Santrupti Nerli, Arjun A. Rao, Daniel Schmelter, (unknown), Nathan D Maulding, Ann S. Zweig, Todd M. Lowe, Manuel Ares, (unknown), W. James Kent, David Haussler, Maximilian Haeussler	60
5	UCSC Genome Browser enters 20th year 2019 ·Nucleic Acids Research ·Christopher M. Lee, Galt P Barber, Jonathan D. Casper, Hiram Clawson, Mark Diekhans, Jairo Navarro Gonzalez, Angie S. Hinrichs, Brian T. Lee, Luis R Nassar, Conner C. Powell, Brian J. Raney, Kate R. Rosenbloom, Daniel Schmelter, Matthew L Speir, Ann S. Zweig, David Haussler, Maximilian Haeussler, Robert M. Kuhn, W. James Kent	136
6	Chromosome assembly of large and complex genomes using multiple references 2018 ·Genome Research ·Mikhail Kolmogorov, Joel Armstrong, Brian J. Raney, Ian Streeter, Matthew Dunn, Fengtang Yang, Duncan T. Odom, Paul Flicek, Thomas Keane, David Thybert, Benedict Paten, Son Pham	75
7	The UCSC Genome Browser database: 2019 update breakdown → 2018 ·Nucleic Acids Research ·Maximilian Haeussler, Ann S. Zweig, (unknown), Matthew L Speir, Kate R. Rosenbloom, Brian J. Raney, (unknown), Brian T. Lee, Angie S. Hinrichs, Jairo Navarro Gonzalez, David Gibson, Mark Diekhans, Hiram Clawson, Jonathan D. Casper, Galt P Barber, David Haussler, Robert M. Kuhn, W. James Kent	547
8	Lipoprotein lipase reaches the capillary lumen in chickens despite an apparent absence of GPIHBP1 2017 ·JCI Insight ·Cuiwen He, Xuchen Hu, Rachel S. Jung, Mikael Larsson, Yiping Tu, (unknown), Paul Kim, Norma P. Sandoval, (unknown), Christopher M. Allan, Brian J. Raney, Haibo Jiang, André Bensadoun, Rosemary L. Walzem, Richard Kuo, Anne P. Beigneux, Loren G. Fong, Stephen G. Young	7
9	UCSC Data Integrator and Variant Annotation Integrator 2016 ·Bioinformatics ·Angie S. Hinrichs, Brian J. Raney, Matthew L Speir, Brooke Rhead, Jonathan D. Casper, Donna Karolchik, Robert M. Kuhn, Kate R. Rosenbloom, Ann S. Zweig, David Haussler, W. James Kent	48
10	Stable recombination hotspots in birds 2015 ·Science ·Sonal Singhal, Ellen M. Leffler, (unknown), Isaac Turner, Oliver Venn, Daniel M. Hooper, Alva I. Strand, Qiye Li, Brian J. Raney, Christopher N. Balakrishnan, Simon C. Griffith, Gil McVean, Molly Przeworski	226
11	Building a Pan-Genome Reference for a Population 2015 ·Journal of Computational Biology ·Ngan Nguyen, Glenn Hickey, Daniel R. Zerbino, Brian J. Raney, Dent Earl, Joel Armstrong, W. James Kent, David Haussler, Benedict Paten	25
12	Comparative assembly hubs: Web-accessible browsers for comparative genomics 2014 ·Bioinformatics ·Ngan Nguyen, Glenn Hickey, Brian J. Raney, Joel Armstrong, Hiram Clawson, Ann S. Zweig, Donna Karolchik, (unknown), David Haussler, Benedict Paten	14
13	The UCSC Ebola Genome Portal 2014 ·PLoS Currents ·Maximilian Haeussler, Donna Karolchik, Hiram Clawson, Brian J. Raney, Kate R. Rosenbloom, Pauline A. Fujita, Angie S. Hinrichs, Matthew L Speir, (unknown), Ann S. Zweig, David Haussler, W. James Kent	4
14	Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser 2013 ·Bioinformatics ·Brian J. Raney, Timothy R. Dreszer, Galt P Barber, Hiram Clawson, Pauline A. Fujita, Ting Wang, Ngan Nguyen, Benedict Paten, Ann S. Zweig, Donna Karolchik, W. James Kent	254
15	Three Periods of Regulatory Innovation During Vertebrate Evolution 2011 ·Science ·Craig B. Lowe, Manolis Kellis, Adam Siepel, Brian J. Raney, Michèle Clamp, Sofie R. Salama, David M. Kingsley, Kerstin Lindblad‐Toh, David Haussler	100
16	ENCODE whole-genome data in the UCSC Genome Browser 2009 ·Nucleic Acids Research ·Kate R. Rosenbloom, Timothy R. Dreszer, Michael Pheasant, G. P. Barber, Laurence Meyer, A. Pohl, Brian J. Raney, (unknown), Angie S. Hinrichs, Ann S. Zweig, Pauline A. Fujita, Katrina Learned, Brooke Rhead, Kayla Smith, Robert M. Kuhn, Donna Karolchik, David Haussler, W. James Kent	263
17	DUPCAR: Reconstructing Contiguous Ancestral Regions with Duplications 2008 ·Journal of Computational Biology ·Jian Ma, Aakrosh Ratan, Brian J. Raney, Bernard Suh, Louxin Zhang, Webb Miller, David Haussler	35
18	Comparing the survival of osteocalcin and mtDNA in archaeological bone from four European sites 2008 ·Journal of Archaeological Science ·Michael Buckley, Cecilia Anderung, Kirsty Penkman, Brian J. Raney, Anders Götherström, Jane Thomas‐Oates, Matthew J. Collins	54
19	Reconstructing contiguous regions of an ancestral genome 2006 ·Genome Research ·Jian Ma, Louxin Zhang, Bernard Suh, Brian J. Raney, Richard Burhans, W. James Kent, Mathieu Blanchette, David Haussler, Webb Miller	176
20	The ENCODE Project at UC Santa Cruz 2006 ·Nucleic Acids Research ·Daniel Thomas, Kate R. Rosenbloom, Hiram Clawson, Angie S. Hinrichs, Heather Trumbower, Brian J. Raney, Donna Karolchik, G. P. Barber, Rachel Harte, Jennifer Hillman‐Jackson, Robert M. Kuhn, Brooke Rhead, Kayla Smith, (unknown), Ann S. Zweig, David Haussler, W. James Kent	66

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.

Explore authors with similar magnitude of impact