James A. Gagnon

7.2k total citations · 6 hit papers
43 papers, 4.7k citations indexed

About

James A. Gagnon is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, James A. Gagnon has authored 43 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Genetics. Recurrent topics in James A. Gagnon's work include CRISPR and Genetic Engineering (12 papers), RNA Research and Splicing (8 papers) and Zebrafish Biomedical Research Applications (6 papers). James A. Gagnon is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), RNA Research and Splicing (8 papers) and Zebrafish Biomedical Research Applications (6 papers). James A. Gagnon collaborates with scholars based in United States, Switzerland and Norway. James A. Gagnon's co-authors include Eivind Valen, Tessa G. Montague, Alexander F. Schier, Summer B. Thyme, Aaron McKenna, George M. Church, Kornel Labun, Jay Shendure, Andrea Pauli and Steven Zimmerman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

James A. Gagnon

42 papers receiving 4.7k citations

Hit Papers

CHOPCHOP: a CRISPR/Cas9 a... 2014 2026 2018 2022 2014 2016 2014 2014 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James A. Gagnon United States 23 3.6k 682 605 511 361 43 4.7k
Andrea Pauli Austria 26 3.3k 0.9× 493 0.7× 418 0.7× 1.2k 2.3× 325 0.9× 44 4.1k
Masanori Taira Japan 42 5.0k 1.4× 728 1.1× 957 1.6× 307 0.6× 368 1.0× 133 6.0k
Eivind Valen Norway 30 6.1k 1.7× 560 0.8× 1.0k 1.7× 1.4k 2.7× 399 1.1× 50 7.5k
Jing-Ruey Joanna Yeh United States 28 4.8k 1.3× 1.2k 1.8× 1.1k 1.7× 296 0.6× 351 1.0× 48 5.9k
Susan Tweedie United Kingdom 28 4.8k 1.3× 246 0.4× 938 1.6× 503 1.0× 299 0.8× 45 5.8k
Tewis Bouwmeester Switzerland 32 5.2k 1.4× 1.1k 1.6× 775 1.3× 284 0.6× 548 1.5× 59 6.2k
Karl J. Clark United States 32 3.0k 0.8× 1.1k 1.7× 1.1k 1.9× 198 0.4× 251 0.7× 83 4.0k
Takahiro Nagase Japan 42 4.4k 1.2× 971 1.4× 716 1.2× 423 0.8× 519 1.4× 105 6.2k
Aleš Cvekl United States 50 5.2k 1.4× 714 1.0× 1.1k 1.8× 554 1.1× 414 1.1× 132 6.1k
Joan Galcerán Spain 29 3.6k 1.0× 465 0.7× 633 1.0× 248 0.5× 616 1.7× 39 4.4k

Countries citing papers authored by James A. Gagnon

Since Specialization
Citations

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

Fields of papers citing papers by James A. Gagnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James A. Gagnon

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Gagnon. A scholar is included among the top collaborators of James A. Gagnon 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 James A. Gagnon. James A. Gagnon 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.
Askary, Amjad, Wei Chen, Junhong Choi, et al.. (2024). The lives of cells, recorded. Nature Reviews Genetics. 26(3). 203–222. 5 indexed citations
2.
Gagnon, James A., et al.. (2024). Distinct features of the regenerating heart uncovered through comparative single-cell profiling. Biology Open. 13(4). 4 indexed citations
3.
Farrell, Jeffrey A., et al.. (2024). Germ cell progression through zebrafish spermatogenesis declines with age. Development. 151(22). 5 indexed citations
4.
Rice, Marlen C., et al.. (2023). Gadusol is a maternally provided sunscreen that protects fish embryos from DNA damage. Current Biology. 33(15). 3229–3237.e4. 5 indexed citations
5.
Ojelabi, Ogooluwa, et al.. (2021). Orthogonal CRISPR-Cas tools for genome editing, inhibition, and CRISPR recording in zebrafish embryos. Genetics. 220(1). 15 indexed citations
6.
Gagnon, James A., et al.. (2021). Immortalization of primary sheep embryo kidney cells. In Vitro Cellular & Developmental Biology - Animal. 57(1). 76–85. 6 indexed citations
7.
Balla, Keir M., Marlen C. Rice, James A. Gagnon, & Nels C. Elde. (2020). Linking Virus Discovery to Immune Responses Visualized during Zebrafish Infections. Current Biology. 30(11). 2092–2103.e5. 27 indexed citations
8.
Wee, Caroline Lei, Maxim Nikitchenko, Wei‐Chun Wang, et al.. (2019). Zebrafish oxytocin neurons drive nocifensive behavior via brainstem premotor targets. Nature Neuroscience. 22(9). 1477–1492. 52 indexed citations
9.
Labun, Kornel, Xiaoge Guo, Alejandro Chavez, et al.. (2019). Accurate analysis of genuine CRISPR editing events with ampliCan. Genome Research. 29(5). 843–847. 46 indexed citations
10.
Raj, Bushra, Daniel E. Wagner, Aaron McKenna, et al.. (2018). Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain. Nature Biotechnology. 36(5). 442–450. 408 indexed citations breakdown →
11.
Raj, Bushra, James A. Gagnon, & Alexander F. Schier. (2018). Large-scale reconstruction of cell lineages using single-cell readout of transcriptomes and CRISPR–Cas9 barcodes by scGESTALT. Nature Protocols. 13(11). 2685–2713. 56 indexed citations
12.
Gagnon, James A., et al.. (2017). The primary role of zebrafish nanog is in extra-embryonic tissue. Development. 145(1). 25 indexed citations
13.
Norris, Megan L., Andrea Pauli, James A. Gagnon, et al.. (2017). Toddler signaling regulates mesodermal cell migration downstream of Nodal signaling. eLife. 6. 25 indexed citations
14.
Kreiling, Jill A., et al.. (2017). Analysis of Active Transport by Fluorescence Recovery after Photobleaching. Biophysical Journal. 112(8). 1714–1725. 15 indexed citations
15.
Rogers, Katherine W., Nathan D. Lord, James A. Gagnon, et al.. (2017). Nodal patterning without Lefty inhibitory feedback is functional but fragile. eLife. 6. 51 indexed citations
16.
McKenna, Aaron, Gregory M. Findlay, James A. Gagnon, et al.. (2016). Whole-organism lineage tracing by combinatorial and cumulative genome editing. Science. 353(6298). aaf7907–aaf7907. 477 indexed citations breakdown →
17.
Merkle, Florian T., Werner Neuhausser, David P. Santos, et al.. (2015). Efficient CRISPR-Cas9-Mediated Generation of Knockin Human Pluripotent Stem Cells Lacking Undesired Mutations at the Targeted Locus. Cell Reports. 11(6). 875–883. 114 indexed citations
18.
Pauli, Andrea, Megan L. Norris, Eivind Valen, et al.. (2014). Toddler: An Embryonic Signal That Promotes Cell Movement via Apelin Receptors. Science. 343(6172). 1248636–1248636. 484 indexed citations breakdown →
19.
Montague, Tessa G., et al.. (2014). CHOPCHOP: a CRISPR/Cas9 and TALEN web tool for genome editing. Nucleic Acids Research. 42(W1). W401–W407. 862 indexed citations breakdown →
20.
Lohmueller, Jason, John Cumbers, M Schmidt, et al.. (2007). Progress toward construction and modelling of a tri-stable toggle switch in E. coli. 1(1). 25–28. 4 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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