John A. Capra

8.3k total citations · 2 hit papers
111 papers, 4.9k citations indexed

About

John A. Capra is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, John A. Capra has authored 111 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 47 papers in Genetics and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in John A. Capra's work include RNA and protein synthesis mechanisms (27 papers), Genomics and Chromatin Dynamics (27 papers) and Genomics and Phylogenetic Studies (15 papers). John A. Capra is often cited by papers focused on RNA and protein synthesis mechanisms (27 papers), Genomics and Chromatin Dynamics (27 papers) and Genomics and Phylogenetic Studies (15 papers). John A. Capra collaborates with scholars based in United States, Germany and Canada. John A. Capra's co-authors include Mona Singh, Virginia A. Zakian, Katrin Paeschke, Katherine S. Pollard, Evonne McArthur, Roman A. Laskowski, Thomas Funkhouser, Janet M. Thornton, Dennis Kostka and Ling Chen and has published in prestigious journals such as Cell, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

John A. Capra

110 papers receiving 4.8k citations

Hit Papers

Predicting functionally important residues from sequence ... 2007 2026 2013 2019 2007 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Capra United States 33 3.8k 918 398 291 267 111 4.9k
Mikko Taipale Canada 29 5.7k 1.5× 847 0.9× 389 1.0× 299 1.0× 337 1.3× 47 6.9k
Jun Wan United States 39 2.7k 0.7× 519 0.6× 301 0.8× 55 0.2× 568 2.1× 181 4.8k
Jimin Pei United States 37 7.5k 2.0× 857 0.9× 597 1.5× 182 0.6× 263 1.0× 96 9.4k
Jean‐Christophe Rain France 35 4.9k 1.3× 655 0.7× 236 0.6× 181 0.6× 220 0.8× 57 6.5k
Pedro Beltrão United Kingdom 36 4.4k 1.1× 880 1.0× 231 0.6× 298 1.0× 185 0.7× 78 5.3k
Ruslan I. Sadreyev United States 47 5.5k 1.4× 912 1.0× 374 0.9× 82 0.3× 1.2k 4.6× 158 7.6k
Jing‐Dong J. Han China 45 5.5k 1.4× 582 0.6× 237 0.6× 532 1.8× 762 2.9× 140 7.8k
Frank C. P. Holstege Netherlands 54 8.9k 2.3× 1.1k 1.2× 722 1.8× 215 0.7× 835 3.1× 156 11.1k
Alan J. Tackett United States 43 5.8k 1.5× 531 0.6× 485 1.2× 58 0.2× 535 2.0× 150 7.5k

Countries citing papers authored by John A. Capra

Since Specialization
Citations

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

Fields of papers citing papers by John A. Capra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Capra. 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 John A. Capra. The network helps show where John A. Capra may publish in the future.

Co-authorship network of co-authors of John A. Capra

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

All Works

20 of 20 papers shown
1.
Tang, Alice, Thanaphong Phongpreecha, Monica Yang, et al.. (2025). Exposure to autoimmune disorders is associated with increased Alzheimer’s disease risk in a multi-site electronic health record analysis. Cell Reports Medicine. 6(3). 101980–101980. 3 indexed citations
2.
Linossi, Edmond M., J. N. K. Rao, Christian B. Macdonald, et al.. (2025). Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning. eLife. 13. 1 indexed citations
3.
Brand, Colin M., Shuzhen Kuang, Evonne McArthur, et al.. (2024). Sequence-Based Machine Learning Reveals 3D Genome Differences between Bonobos and Chimpanzees. Genome Biology and Evolution. 16(11). 3 indexed citations
4.
Brand, Colin M., Evonne McArthur, David C. Rinker, et al.. (2024). Machine Learning Reveals the Diversity of Human 3D Chromatin Contact Patterns. Molecular Biology and Evolution. 41(10). 4 indexed citations
5.
Hansen, Tyler, et al.. (2024). Human gene regulatory evolution is driven by the divergence of regulatory element function in both cis and trans. Cell Genomics. 4(4). 100536–100536. 7 indexed citations
6.
Patterson, Sarah L., Lenka Maliskova, Kimberly E. Taylor, et al.. (2024). Cell‐Specific Transposable Element and Gene Expression Analysis Across Systemic Lupus Erythematosus Phenotypes. ACR Open Rheumatology. 6(11). 769–779. 1 indexed citations
7.
Linossi, Edmond M., J. N. K. Rao, Christian B. Macdonald, et al.. (2024). Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning. eLife. 13. 3 indexed citations
8.
Grunin, Michelle, Ellen L. Palmer, Bowen Jin, et al.. (2023). Integrating Computational Approaches to Predict the Effect of Genetic Variants on Protein Stability in Retinal Degenerative Disease. Advances in experimental medicine and biology. 1415. 157–163.
9.
Benton, Mary Lauren, Douglas M. Ruderfer, & John A. Capra. (2023). Cis-regulatory Landscape Size, Constraint, and Tissue Specificity Associate with Gene Function and Expression. Genome Biology and Evolution. 15(7). 3 indexed citations
10.
Li, Bian, et al.. (2022). An Active Learning Framework Improves Tumor Variant Interpretation. Cancer Research. 82(15). 2704–2715. 2 indexed citations
12.
Mathieson, Iain, et al.. (2021). Tracing the Evolution of Human Gene Regulation and Its Association with Shifts in Environment. Genome Biology and Evolution. 13(11). 7 indexed citations
13.
Fong, Sarah & John A. Capra. (2021). Modeling the Evolutionary Architectures of Transcribed Human Enhancer Sequences Reveals Distinct Origins, Functions, and Associations with Human Trait Variation. Molecular Biology and Evolution. 38(9). 3681–3696. 6 indexed citations
14.
Shibao, Cyndya A., Karen M. Joos, John A. Phillips, et al.. (2021). Familial Autonomic Ganglionopathy Caused by Rare CHRNA3 Genetic Variants. Neurology. 97(2). e145–e155. 8 indexed citations
15.
Sheehan, Jonathan H., John H. Newman, Jens Meiler, et al.. (2020). Phenotypic Profiling in Subjects Heterozygous for 1 of 2 Rare Variants in the Hypophosphatasia Gene (ALPL). Journal of the Endocrine Society. 4(8). bvaa084–bvaa084. 6 indexed citations
16.
Abraham, Abin, et al.. (2020). Evaluating human autosomal loci for sexually antagonistic viability selection in two large biobanks. Genetics. 217(1). 1–10. 19 indexed citations
17.
Ely, Zackery A., Gregory Sliwoski, Amandeep K. Sangha, et al.. (2019). The Impact of Natural Selection on the Evolution and Function of Placentally Expressed Galectins. Genome Biology and Evolution. 11(9). 2574–2592. 7 indexed citations
18.
Capra, John A., et al.. (2019). Signatures of Recent Positive Selection in Enhancers Across 41 Human Tissues. G3 Genes Genomes Genetics. 9(8). 2761–2774. 14 indexed citations
19.
Aronoff, David M., et al.. (2018). Examination of Signatures of Recent Positive Selection on Genes Involved in Human Sialic Acid Biology. G3 Genes Genomes Genetics. 8(4). 1315–1325. 7 indexed citations
20.
McDonald, Karin R., Amanda J. Guise, Ileana M. Cristea, et al.. (2016). Pfh1 Is an Accessory Replicative Helicase that Interacts with the Replisome to Facilitate Fork Progression and Preserve Genome Integrity. PLoS Genetics. 12(9). e1006238–e1006238. 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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