NISC Comparative Sequencing Program

3.5k total citations · 1 hit paper
22 papers, 1.6k citations indexed

About

NISC Comparative Sequencing Program is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, NISC Comparative Sequencing Program has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Plant Science. Recurrent topics in NISC Comparative Sequencing Program's work include Genomics and Phylogenetic Studies (9 papers), Chromosomal and Genetic Variations (6 papers) and melanin and skin pigmentation (3 papers). NISC Comparative Sequencing Program is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Chromosomal and Genetic Variations (6 papers) and melanin and skin pigmentation (3 papers). NISC Comparative Sequencing Program collaborates with scholars based in United States, Australia and United Kingdom. NISC Comparative Sequencing Program's co-authors include Eric D. Green, Michael Brudno, Gregory M. Cooper, Serafim Batzoglou, Arend Sidow, Eugene Davydov, Elliott H. Margulies, Stylianos E. Antonarakis, Juan I. Montoya‐Burgos and Ge Liu and has published in prestigious journals such as Cell Metabolism, Genome Research and Developmental Biology.

In The Last Decade

NISC Comparative Sequencing Program

22 papers receiving 1.6k 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.

LAGAN and Multi-LAGAN: Efficient Tools for Large-Scale Multiple Alignment of Genomic DNA

2003 876 citations Michael Brudno, Gregory M. Cooper et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
NISC Comparative Sequencing Program United States	14	1.2k	485	478	99	91	22	1.6k
Martin Goodson United Kingdom	7	1.5k 1.2×	831 1.7×	424 0.9×	117 1.2×	72 0.8×	10	2.0k
John W. Fondon United States	16	1.1k 0.9×	557 1.1×	281 0.6×	75 0.8×	103 1.1×	19	1.7k
Matthieu Muffato United Kingdom	13	808 0.7×	370 0.8×	309 0.6×	71 0.7×	83 0.9×	15	1.2k
C.K. Watanabe Japan	6	1.1k 0.9×	296 0.6×	615 1.3×	88 0.9×	95 1.0×	9	1.7k
Justin Chu Canada	17	1.3k 1.0×	286 0.6×	356 0.7×	98 1.0×	65 0.7×	33	1.8k
Andrew Wu United Kingdom	5	1.3k 1.1×	331 0.7×	395 0.8×	31 0.3×	67 0.7×	5	1.7k
Michael P. Strömberg United States	10	1.2k 1.0×	571 1.2×	515 1.1×	65 0.7×	49 0.5×	14	1.8k
Enrique Blanco Spain	26	1.9k 1.6×	391 0.8×	434 0.9×	91 0.9×	183 2.0×	55	2.4k
Olivier Couronne United States	7	1.4k 1.2×	524 1.1×	407 0.9×	98 1.0×	70 0.8×	9	1.6k
David Emmert United States	10	854 0.7×	270 0.6×	220 0.5×	89 0.9×	83 0.9×	13	1.3k

Countries citing papers authored by NISC Comparative Sequencing Program

Since Specialization

Citations

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

Fields of papers citing papers by NISC Comparative Sequencing Program

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by NISC Comparative Sequencing Program. 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 NISC Comparative Sequencing Program. The network helps show where NISC Comparative Sequencing Program may publish in the future.

Co-authorship network of co-authors of NISC Comparative Sequencing Program

This figure shows the co-authorship network connecting the top 25 collaborators of NISC Comparative Sequencing Program. A scholar is included among the top collaborators of NISC Comparative Sequencing Program 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 NISC Comparative Sequencing Program. NISC Comparative Sequencing Program 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

Loftus, Stacie K., Dawn E. Watkins‐Chow, Laura L. Baxter, et al.. (2021). A custom capture sequence approach for oculocutaneous albinism identifies structural variant alleles at the OCA2 locus. Human Mutation. 42(10). 1239–1253. 7 indexed citations

Tsai, Yu‐Chih, Sean Conlan, Clayton Deming, et al.. (2016). Resolving the Complexity of Human Skin Metagenomes Using Single-Molecule Sequencing. mBio. 7(1). e01948–15. 58 indexed citations

Perera, Erasmo M., Dawn E. Watkins‐Chow, Nancy F. Hansen, et al.. (2015). The transcription factors Ets1 and Sox10 interact during murine melanocyte development. Developmental Biology. 407(2). 300–312. 15 indexed citations

Sen, Shurjo K., Jennifer J. Barb, Praveen F. Cherukuri, et al.. (2014). Identification of candidate genes involved in coronary artery calcification by transcriptome sequencing of cell lines. BMC Genomics. 15(1). 198–198. 8 indexed citations

Pemov, Alexander, Heejong Sung, Paula L. Hyland, et al.. (2014). Genetic Modifiers of Neurofibromatosis Type 1-Associated Café-au-Lait Macule Count Identified Using Multi-platform Analysis. PLoS Genetics. 10(10). e1004575–e1004575. 24 indexed citations

Prickett, Todd D., Brad J. Zerlanko, Jared J. Gartner, et al.. (2013). Somatic Mutations in MAP3K5 Attenuate Its Proapoptotic Function in Melanoma through Increased Binding to Thioredoxin. Journal of Investigative Dermatology. 134(2). 452–460. 18 indexed citations

Song, Giltae, Cathy Riemer, Benjamin Dickins, et al.. (2012). Revealing Mammalian Evolutionary Relationships by Comparative Analysis of Gene Clusters. Genome Biology and Evolution. 4(4). 586–601. 7 indexed citations

Horvath, Julie E., Stephanie L. Merrett, Abdoulaye Baniré Diallo, et al.. (2011). Comparative analysis of the primate X-inactivation center region and reconstruction of the ancestral primate XIST locus. Genome Research. 21(6). 850–862. 13 indexed citations

Solomon, Benjamin D., Daniel Pineda‐Alvarez, Donald W. Hadley, et al.. (2011). Personalized genomic medicine: Lessons from the exome. Molecular Genetics and Metabolism. 104(1-2). 189–191. 11 indexed citations

10.

Markello, Thomas C., Sangwoo T. Han, Hannah Carlson-Donohoe, et al.. (2011). Recombination mapping using Boolean logic and high-density SNP genotyping for exome sequence filtering. Molecular Genetics and Metabolism. 105(3). 382–389. 11 indexed citations

11.

Cullinane, Andrew R., Thierry Vilboux, Kevin O’Brien, et al.. (2011). Homozygosity Mapping and Whole-Exome Sequencing to Detect SLC45A2 and G6PC3 Mutations in a Single Patient with Oculocutaneous Albinism and Neutropenia. Journal of Investigative Dermatology. 131(10). 2017–2025. 52 indexed citations

12.

Cárdenas-Navia, Laura I., Pedro Cruz, Jimmy Lin, et al.. (2010). Novel somatic mutations in heterotrimeric G proteins in melanoma. Cancer Biology & Therapy. 10(1). 33–37. 18 indexed citations

13.

Tsipouri, Vicky, Mary G. Schueler, Sufen Hu, et al.. (2008). Comparative sequence analyses reveal sites of ancestral chromosomal fusions in the Indian muntjac genome. Genome biology. 9(10). R155–R155. 22 indexed citations

14.

Zhang, Wei, Gerard G. Bouffard, Susan S. Wallace, Jeffrey P. Bond, & NISC Comparative Sequencing Program. (2007). Estimation of DNA Sequence Context-dependent Mutation Rates Using Primate Genomic Sequences. Journal of Molecular Evolution. 65(3). 207–214. 20 indexed citations

15.

Nikolaev, Sergey I., Juan I. Montoya‐Burgos, Elliott H. Margulies, et al.. (2006). Early History of Mammals Is Elucidated with the ENCODE Multiple Species Sequencing Data. PLoS Genetics. 3(1). e2–e2. 89 indexed citations

16.

Liu, Ge, NISC Comparative Sequencing Program, Shaying Zhao, et al.. (2003). Analysis of Primate Genomic Variation Reveals a Repeat-Driven Expansion of the Human Genome. Genome Research. 13(3). 358–368. 117 indexed citations

17.

Brudno, Michael, Gregory M. Cooper, Eugene Davydov, et al.. (2003). LAGAN and Multi-LAGAN: Efficient Tools for Large-Scale Multiple Alignment of Genomic DNA. Genome Research. 13(4). 721–731. 876 indexed citations breakdown →

18.

Margulies, Elliott H., et al.. (2003). Detecting Highly Conserved Regions of the Human Genome by Multispecies Sequence Comparisons. Cold Spring Harbor Symposia on Quantitative Biology. 68(0). 255–264. 12 indexed citations

19.

Cooper, Gregory M., et al.. (2003). Quantitative Estimates of Sequence Divergence for Comparative Analyses of Mammalian Genomes. Genome Research. 13(5). 813–820. 90 indexed citations

20.

Thomas, James W., Mary G. Schueler, Robert W. Blakesley, et al.. (2002). Pericentromeric Duplications in the Laboratory Mouse. Genome Research. 13(1). 55–63. 30 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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