Ben Weisburd

29.8k total citations · 2 hit papers
16 papers, 1.4k citations indexed

About

Ben Weisburd is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ben Weisburd has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ben Weisburd's work include Genomics and Rare Diseases (6 papers), Genetic Neurodegenerative Diseases (3 papers) and Muscle Physiology and Disorders (2 papers). Ben Weisburd is often cited by papers focused on Genomics and Rare Diseases (6 papers), Genetic Neurodegenerative Diseases (3 papers) and Muscle Physiology and Disorders (2 papers). Ben Weisburd collaborates with scholars based in United States, Australia and United Kingdom. Ben Weisburd's co-authors include Noam Stern‐Ginossar, Jonathan S. Weissman, Beryl B. Cummings, Daniel G. MacArthur, Vu Thuy Khanh Le‐Trilling, Annette Michalski, Matthew Solomonson, Daniel Birnbaum, Brett Thomas and Konrad J. Karczewski and has published in prestigious journals such as Science, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Ben Weisburd

14 papers receiving 1.4k 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.

Decoding Human Cytomegalovirus

2012 454 citations Noam Stern‐Ginossar, Ben Weisburd et al. Science profile →
The ExAC browser: displaying reference data information from over 60 000 exomes

2016 452 citations Konrad J. Karczewski, Ben Weisburd et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Weisburd United States	8	676	476	304	295	182	16	1.4k
Show‐Li Chen Taiwan	26	799 1.2×	282 0.6×	153 0.5×	224 0.8×	116 0.6×	66	1.5k
Wenxia Jiang United States	19	1.3k 1.9×	561 1.2×	521 1.7×	102 0.3×	201 1.1×	30	1.9k
Virginie Trouplin France	19	1.1k 1.6×	161 0.3×	223 0.7×	127 0.4×	169 0.9×	24	2.1k
Wen-Qi Cai China	12	443 0.7×	431 0.9×	230 0.8×	289 1.0×	190 1.0×	24	1.0k
Jeffrey R. Skaar United States	19	1.9k 2.8×	284 0.6×	585 1.9×	166 0.6×	185 1.0×	33	2.2k
Xenia Schafer United States	14	1.1k 1.7×	235 0.5×	111 0.4×	124 0.4×	258 1.4×	21	1.5k
Kristi G. Bache Norway	12	1.4k 2.1×	281 0.6×	152 0.5×	118 0.4×	108 0.6×	13	2.3k
Anne E. Griep United States	25	1.4k 2.0×	524 1.1×	653 2.1×	413 1.4×	157 0.9×	43	2.1k
Louise Barnett United States	22	1.1k 1.6×	314 0.7×	242 0.8×	197 0.7×	94 0.5×	36	2.0k
Chad M. McCall United States	20	964 1.4×	640 1.3×	947 3.1×	115 0.4×	185 1.0×	39	2.1k

Countries citing papers authored by Ben Weisburd

Since Specialization

Citations

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

Fields of papers citing papers by Ben Weisburd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Weisburd

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Weisburd. A scholar is included among the top collaborators of Ben Weisburd 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 Ben Weisburd. Ben Weisburd 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:

16 of 16 papers shown

Weisburd, Ben, Egor Dolzhenko, Vincent Rubinetti, et al.. (2025). STRchive: a dynamic resource detailing population-level and locus-specific insights at tandem repeat disease loci. Genome Medicine. 17(1). 29–29. 1 indexed citations

Ren, Wenlong, Weida Liu, Zhuoqing Fang, et al.. (2025). A tandem repeat atlas for the genome of inbred mouse strains: A genetic variation resource. iScience. 28(11). 113703–113703.

Weisburd, Ben, Kevin Correia, Jun Wan Shin, et al.. (2025). Significant underascertainment in Huntington’s disease. Brain Communications. 7(3). fcaf194–fcaf194.

Ganesh, Vijay, Ben Weisburd, Catriona McLean, et al.. (2023). Transcriptome and Genome Analysis Uncovers a DMD Structural Variant. Neurology Genetics. 9(2). e200064–e200064. 2 indexed citations

Scriba, Carolin K., Igor Stevanovski, Sanjog R. Chintalaphani, et al.. (2023). RFC1 in an Australasian neurological disease cohort: extending the genetic heterogeneity and implications for diagnostics. Brain Communications. 5(4). fcad208–fcad208. 9 indexed citations

Ross, Jay P., Fulya Akçimen, Calwing Liao, et al.. (2022). Questioning the Association of the STMN2 Dinucleotide Repeat With Amyotrophic Lateral Sclerosis. Neurology Genetics. 8(4). e678–e678. 1 indexed citations

Weisburd, Ben, et al.. (2021). CONGENITAL MUSCULAR DYSTROPHIES. Neuromuscular Disorders. 31. S70–S70. 1 indexed citations

Scriba, Carolin K., Sarah J. Beecroft, Joshua S. Clayton, et al.. (2020). A novel RFC1 repeat motif (ACAGG) in two Asia-Pacific CANVAS families. Brain. 143(10). 2904–2910. 53 indexed citations

Goldberg, Saveli, Boris Galitsky, & Ben Weisburd. (2019). Framework for interaction between expert users and Machine Learning Systems.. National Conference on Artificial Intelligence. 1 indexed citations

10.

Pérez‐Palma, Eduardo, Andrea Ganna, Laurent C. Francioli, et al.. (2019). Variant Score Ranker—a web application for intuitive missense variant prioritization. Bioinformatics. 35(21). 4478–4479. 3 indexed citations

11.

Carlston, Colleen M., Anne O’Donnell‐Luria, Hunter R. Underhill, et al.. (2017). Pathogenic ASXL1 somatic variants in reference databases complicate germline variant interpretation for Bohring-Opitz Syndrome. Human Mutation. 38(5). 517–523. 42 indexed citations

12.

Karczewski, Konrad J., Ben Weisburd, Brett Thomas, et al.. (2016). The ExAC browser: displaying reference data information from over 60 000 exomes. Nucleic Acids Research. 45(D1). D840–D845. 452 indexed citations breakdown →

13.

Lu, Huasong, Yuhua Xue, Guoying Karen Yu, et al.. (2015). Compensatory induction of MYC expression by sustained CDK9 inhibition via a BRD4-dependent mechanism. eLife. 4. e06535–e06535. 110 indexed citations

14.

Holderfield, Matthew, Edward Lorenzana, Ben Weisburd, et al.. (2014). Vemurafenib Cooperates with HPV to Promote Initiation of Cutaneous Tumors. Cancer Research. 74(8). 2238–2245. 20 indexed citations

15.

Arias, Carolina, Ben Weisburd, Noam Stern‐Ginossar, et al.. (2014). KSHV 2.0: A Comprehensive Annotation of the Kaposi's Sarcoma-Associated Herpesvirus Genome Using Next-Generation Sequencing Reveals Novel Genomic and Functional Features. PLoS Pathogens. 10(1). e1003847–e1003847. 233 indexed citations

16.

Stern‐Ginossar, Noam, Ben Weisburd, Annette Michalski, et al.. (2012). Decoding Human Cytomegalovirus. Science. 338(6110). 1088–1093. 454 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.

Explore authors with similar magnitude of impact