John A. Calarco

4.8k total citations · 2 hit papers
39 papers, 3.2k citations indexed

About

John A. Calarco is a scholar working on Molecular Biology, Aging and Physiology. According to data from OpenAlex, John A. Calarco has authored 39 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 22 papers in Aging and 5 papers in Physiology. Recurrent topics in John A. Calarco's work include Genetics, Aging, and Longevity in Model Organisms (22 papers), RNA Research and Splicing (20 papers) and RNA modifications and cancer (12 papers). John A. Calarco is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (22 papers), RNA Research and Splicing (20 papers) and RNA modifications and cancer (12 papers). John A. Calarco collaborates with scholars based in United States, Canada and China. John A. Calarco's co-authors include Benjamin J. Blencowe, Mónica P. Colaiácovo, Qun Pan, Ari E. Friedland, Yonatan B. Tzur, George M. Church, Kevin M. Esvelt, Xinchen Wang, Brendan J. Frey and Weijun Gao and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

John A. Calarco

38 papers receiving 3.1k citations

Hit Papers

Heritable genome editing in C. elegans via a CRISPR-Cas9 ... 2010 2026 2015 2020 2013 2010 200 400 600

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. Calarco United States 20 2.8k 629 328 253 193 39 3.2k
Danielle Thierry‐Mieg United States 22 2.0k 0.7× 551 0.9× 284 0.9× 247 1.0× 77 0.4× 33 2.9k
John Reece-Hoyes United States 32 2.8k 1.0× 731 1.2× 475 1.4× 230 0.9× 40 0.2× 57 3.4k
Ignasi Forné Germany 30 2.2k 0.8× 125 0.2× 262 0.8× 118 0.5× 172 0.9× 101 3.0k
Nick Burton United Kingdom 20 1.0k 0.4× 285 0.5× 172 0.5× 124 0.5× 49 0.3× 40 1.6k
David A. Wassarman United States 30 3.0k 1.1× 218 0.3× 343 1.0× 181 0.7× 93 0.5× 68 3.9k
Mark M. Metzstein United States 16 1.9k 0.7× 519 0.8× 252 0.8× 100 0.4× 31 0.2× 24 2.5k
Michael Finney United States 18 1.7k 0.6× 768 1.2× 503 1.5× 126 0.5× 33 0.2× 33 2.7k
Andrew W. Folkmann United States 15 1.4k 0.5× 459 0.7× 191 0.6× 34 0.1× 112 0.6× 18 1.8k
Claire Vourc’h France 25 2.2k 0.8× 162 0.3× 430 1.3× 186 0.7× 51 0.3× 44 2.7k
Stephanie E. Mohr United States 34 2.9k 1.0× 377 0.6× 532 1.6× 176 0.7× 29 0.2× 75 3.8k

Countries citing papers authored by John A. Calarco

Since Specialization
Citations

This map shows the geographic impact of John A. Calarco'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. Calarco 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. Calarco more than expected).

Fields of papers citing papers by John A. Calarco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Calarco. A scholar is included among the top collaborators of John A. Calarco 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. Calarco. John A. Calarco 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.
Calarco, John A., Seth R. Taylor, & David M. Miller. (2024). Detecting gene expression in Caenorhabditis elegans. Genetics. 229(1). 1–108.
2.
Harris, Nathan, et al.. (2023). Molecular encoding of stimulus features in a single sensory neuron type enables neuronal and behavioral plasticity. Current Biology. 33(8). 1487–1501.e7. 9 indexed citations
3.
Clayton, Kiera, Ramy Malty, J. Javier Hernández, et al.. (2023). On a path toward a broad-spectrum anti-viral: inhibition of HIV-1 and coronavirus replication by SR kinase inhibitor harmine. Journal of Virology. 97(10). e0039623–e0039623. 6 indexed citations
4.
Liu, He, et al.. (2022). Forgetting generates a novel state that is reactivatable. Science Advances. 8(6). eabi9071–eabi9071. 17 indexed citations
5.
Calarco, John A., et al.. (2022). Two-Color Fluorescent Reporters for Analysis of Alternative Splicing. Methods in molecular biology. 2537. 211–229. 2 indexed citations
6.
Gracida, Xicotencatl, et al.. (2020). Global regulatory features of alternative splicing across tissues and within the nervous system of C. elegans. Genome Research. 30(12). 1766–1780. 11 indexed citations
7.
Calarco, John A. & Aravinthan D. T. Samuel. (2018). Imaging whole nervous systems: insights into behavior from worms to fish. Nature Methods. 16(1). 14–15. 10 indexed citations
8.
Calarco, John A. & Adam Norris. (2018). Synthetic Genetic Interaction (CRISPR-SGI) Profiling in Caenorhabditis elegans. BIO-PROTOCOL. 8(5). 4 indexed citations
9.
Gracida, Xicotencatl & John A. Calarco. (2017). Cell type-specific transcriptome profiling in C. elegans using the Translating Ribosome Affinity Purification technique. Methods. 126. 130–137. 20 indexed citations
10.
Norris, Adam, Hyun‐Min Kim, Mónica P. Colaiácovo, & John A. Calarco. (2015). Efficient Genome Editing in Caenorhabditis elegans with a Toolkit of Dual-Marker Selection Cassettes. Genetics. 201(2). 449–458. 68 indexed citations
11.
Norris, Adam, Shangbang Gao, Megan L. Norris, et al.. (2014). A Pair of RNA-Binding Proteins Controls Networks of Splicing Events Contributing to Specialization of Neural Cell Types. Molecular Cell. 54(6). 946–959. 55 indexed citations
12.
Friedland, Ari E., Yonatan B. Tzur, Kevin M. Esvelt, et al.. (2013). Heritable genome editing in C. elegans via a CRISPR-Cas9 system. Nature Methods. 10(8). 741–743. 684 indexed citations breakdown →
13.
Ellis, Jonathan D., Miriam Barrios‐Rodiles, Recep Çolak, et al.. (2012). Tissue-Specific Alternative Splicing Remodels Protein-Protein Interaction Networks. Molecular Cell. 46(6). 884–892. 299 indexed citations
14.
Norris, Adam & John A. Calarco. (2012). Emerging Roles of Alternative Pre-mRNA Splicing Regulation in Neuronal Development and Function. Frontiers in Neuroscience. 6. 122–122. 71 indexed citations
15.
Ramani, Arun, John A. Calarco, Qun Pan, et al.. (2010). Genome-wide analysis of alternative splicing in Caenorhabditis elegans. Genome Research. 21(2). 342–348. 128 indexed citations
16.
Calarco, John A., Dave O’Hanlon, Mathieu Gabut, et al.. (2009). Regulation of Vertebrate Nervous System Alternative Splicing and Development by an SR-Related Protein. Cell. 138(5). 898–910. 172 indexed citations
17.
Khanna, May, Harm van Bakel, Xinyi Tang, et al.. (2009). A systematic characterization of Cwc21, the yeast ortholog of the human spliceosomal protein SRm300. RNA. 15(12). 2174–2185. 28 indexed citations
18.
Calarco, John A., Yi Xing, Mario Cáceres, et al.. (2007). Global analysis of alternative splicing differences between humans and chimpanzees. Genes & Development. 21(22). 2963–2975. 116 indexed citations
19.
Rosonina, Emanuel, Joanna Y. Ip, John A. Calarco, et al.. (2005). Role for PSF in Mediating Transcriptional Activator-Dependent Stimulation of Pre-mRNA Processing In Vivo. Molecular and Cellular Biology. 25(15). 6734–6746. 102 indexed citations
20.
Cartegni, Luca, Michelle L. Hastings, John A. Calarco, Elisa de Stanchina, & Adrian R. Krainer. (2005). Determinants of Exon 7 Splicing in the Spinal Muscular Atrophy Genes, SMN1 and SMN2. The American Journal of Human Genetics. 78(1). 63–77. 240 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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