Justin Paschall

9.2k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Justin Paschall is a scholar working on Molecular Biology, Genetics and Rheumatology. According to data from OpenAlex, Justin Paschall has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Genetics and 2 papers in Rheumatology. Recurrent topics in Justin Paschall's work include Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (4 papers) and Genetic Associations and Epidemiology (3 papers). Justin Paschall is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (4 papers) and Genetic Associations and Epidemiology (3 papers). Justin Paschall collaborates with scholars based in United States, United Kingdom and Spain. Justin Paschall's co-authors include Elizabeth Pugh, Kimberly F. Doheny, Haydeh Payami, Albert Tenesa, Randall V. Collura, Ali Samii, Jennifer S. Montimurro, Denise M. Kay, John W. Roberts and Stewart A. Factor and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Justin Paschall

18 papers receiving 1.1k 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.

Common genetic variation in the HLA region is associated with late-onset sporadic Parkinson's disease

2010 584 citations Taye H. Hamza, Cyrus P. Zabetian et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin Paschall United States	10	503	408	330	299	240	19	1.1k
Yueshan Piao China	18	694 1.4×	385 0.9×	114 0.3×	118 0.4×	152 0.6×	60	1.4k
Bernd Rautenstrauß Germany	26	747 1.5×	236 0.6×	224 0.7×	330 1.1×	725 3.0×	90	1.8k
Brent L. Fogel United States	21	1.1k 2.1×	291 0.7×	408 1.2×	143 0.5×	717 3.0×	64	1.6k
Norbert Kinkl Germany	16	957 1.9×	426 1.0×	125 0.4×	146 0.5×	385 1.6×	21	1.4k
Shinji Hadano Japan	24	788 1.6×	792 1.9×	111 0.3×	201 0.7×	260 1.1×	63	1.6k
Alexander Trockenbacher Austria	11	739 1.5×	594 1.5×	120 0.4×	152 0.5×	456 1.9×	11	1.4k
Jacqueline L. Vanderluit Canada	25	1.2k 2.4×	126 0.3×	234 0.7×	143 0.5×	366 1.5×	33	1.8k
Jack Humphrey United States	14	889 1.8×	290 0.7×	277 0.8×	233 0.8×	119 0.5×	21	1.3k
Susan Slaugenhaupt United States	16	573 1.1×	435 1.1×	311 0.9×	312 1.0×	959 4.0×	30	1.9k
Youn‐Bok Lee United Kingdom	22	1.2k 2.3×	769 1.9×	140 0.4×	132 0.4×	360 1.5×	39	1.9k

Countries citing papers authored by Justin Paschall

Since Specialization

Citations

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

Fields of papers citing papers by Justin Paschall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Paschall

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

All Works

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19 of 19 papers shown

Robinson, Kelsey, Sarah W. Curtis, Justin Paschall, et al.. (2025). Distinguishing syndromic and nonsyndromic cleft palate through analysis of protein-altering de novo variants in 818 trios. The American Journal of Human Genetics. 112(11). 2679–2692.

Paschall, Justin, Suiyuan Zhang, Morgan Similuk, et al.. (2023). Genotype first: Clinical genomics research through a reverse phenotyping approach. The American Journal of Human Genetics. 110(1). 3–12. 32 indexed citations

Sanders, Steven M., Justin Paschall, E. Sally Chang, et al.. (2023). XY sex determination in a cnidarian. BMC Biology. 21(1). 32–32. 5 indexed citations

Kanchan, Kanika, Gautam Shankar, Michelle F. Huffaker, et al.. (2022). HLA-associated outcomes in peanut oral immunotherapy trials identify mechanistic and clinical determinants of therapeutic success. Frontiers in Immunology. 13. 941839–941839. 3 indexed citations

Justice, Cristina M., Anthony M. Musolf, Wanda Lattanzi, et al.. (2022). Targeted Sequencing of Candidate Regions Associated with Sagittal and Metopic Nonsyndromic Craniosynostosis. Genes. 13(5). 816–816. 4 indexed citations

Mohr, David W., Stephen J. Gaughran, Justin Paschall, et al.. (2022). A Chromosome-Length Assembly of the Hawaiian Monk Seal (Neomonachus schauinslandi): A History of “Genetic Purging” and Genomic Stability. Genes. 13(7). 1270–1270. 4 indexed citations

Nothaft, Frank Austin, et al.. (2019). Mango: Exploratory Data Analysis for Large-Scale Sequencing Datasets. Cell Systems. 9(6). 609–613.e3. 4 indexed citations

Medina, Ignacio, Joaquín Tárraga, Sergio Barrachina, et al.. (2016). Highly sensitive and ultrafast read mapping for RNA-seq analysis. DNA Research. 23(2). 93–100. 13 indexed citations

Nothaft, Frank Austin, et al.. (2016). Distributed visualization for genomic analysis. Faculty of 1000 Research Ltd. 5. 2 indexed citations

10.

Thompson, Rachel, Domenica Taruscio, Lucía Monaco, et al.. (2014). RD-Connect: An Integrated Platform Connecting Databases, Registries, Biobanks and Clinical Bioinformatics for Rare Disease Research. Journal of General Internal Medicine. 29(S3). 780–787. 120 indexed citations

11.

Lappalainen, Ilkka, John Lopez, Lisa Skipper, et al.. (2012). dbVar and DGVa: public archives for genomic structural variation. Nucleic Acids Research. 41(D1). D936–D941. 174 indexed citations

12.

Craig, David W., Zhenyuan Wang, Justin Paschall, et al.. (2011). Assessing and managing risk when sharing aggregate genetic variant data. Nature Reviews Genetics. 12(10). 730–736. 40 indexed citations

13.

Hamza, Taye H., Cyrus P. Zabetian, Albert Tenesa, et al.. (2010). Common genetic variation in the HLA region is associated with late-onset sporadic Parkinson's disease. Nature Genetics. 42(9). 781–785. 584 indexed citations breakdown →

14.

Koller, Daniel L., Shoji Ichikawa, Dongbing Lai, et al.. (2010). Genome-Wide Association Study of Bone Mineral Density in Premenopausal European-American Women and Replication in African-American Women. The Journal of Clinical Endocrinology & Metabolism. 95(4). 1802–1809. 60 indexed citations

15.

Nadeau, Owen W., Gerald J. Wyckoff, Justin Paschall, et al.. (2008). CrossSearch, a User-friendly Search Engine for Detecting Chemically Cross-linked Peptides in Conjugated Proteins. Molecular & Cellular Proteomics. 7(4). 739–749. 23 indexed citations

16.

Liu, Ying, Weimin Duan, Justin Paschall, & Nancy L. Saccone. (2007). Artificial neural networks for linkage analysis of quantitative gene expression phenotypes and evaluation of gene × gene interactions. BMC Proceedings. 1(S1). S47–S47. 3 indexed citations

17.

Nadeau, Owen W., David W. Anderson, Qing Yang, et al.. (2006). Evidence for the Location of the Allosteric Activation Switch in the Multisubunit Phosphorylase Kinase Complex from Mass Spectrometric Identification of Chemically Crosslinked Peptides. Journal of Molecular Biology. 365(5). 1429–1445. 22 indexed citations

18.

Vallender, Eric J., Justin Paschall, Christine M. Malcom, Bruce T. Lahn, & Gerald J. Wyckoff. (2006). SPEED: a molecular-evolution-based database of mammalian orthologous groups. Bioinformatics. 22(22). 2835–2837. 8 indexed citations

19.

Paschall, Justin, Marjorie F. Oleksiak, Jeffrey VanWye, et al.. (2004). FunnyBase: a systems level functional annotation of Fundulus ESTs for the analysis of gene expression. BMC Genomics. 5(1). 96–96. 29 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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