Gabrielle H. Cannon

987 total citations · 1 hit paper
9 papers, 516 citations indexed

About

Gabrielle H. Cannon is a scholar working on Molecular Biology, Insect Science and Surgery. According to data from OpenAlex, Gabrielle H. Cannon has authored 9 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Insect Science and 1 paper in Surgery. Recurrent topics in Gabrielle H. Cannon's work include Single-cell and spatial transcriptomics (4 papers), Genomics and Rare Diseases (1 paper) and Congenital gastrointestinal and neural anomalies (1 paper). Gabrielle H. Cannon is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Genomics and Rare Diseases (1 paper) and Congenital gastrointestinal and neural anomalies (1 paper). Gabrielle H. Cannon collaborates with scholars based in United States, Netherlands and Germany. Gabrielle H. Cannon's co-authors include Loyal A. Goff, Emily F. Davis-Marcisak, Thanh Hoang, Elana J. Fertig, Thomas D. Sherman, Richard M. Gronostajski, Seth Blackshaw, Fatemeh Rajaii, Brian S. Clark and Genevieve Stein-O’Brien and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and The American Journal of Human Genetics.

In The Last Decade

Gabrielle H. Cannon

7 papers receiving 513 citations

Hit Papers

Single-Cell RNA-Seq Analysis of Retinal Development Ident... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabrielle H. Cannon United States 6 398 122 63 62 53 9 516
Tuanlian Luo United States 10 380 1.0× 137 1.1× 43 0.7× 41 0.7× 76 1.4× 11 592
Connor Finkbeiner United States 11 542 1.4× 133 1.1× 87 1.4× 46 0.7× 31 0.6× 13 604
Ling Pan China 8 580 1.5× 161 1.3× 20 0.3× 148 2.4× 41 0.8× 15 697
З.І. Шевцова Germany 6 205 0.5× 125 1.0× 28 0.4× 31 0.5× 89 1.7× 11 325
Mitra Cowan Canada 7 317 0.8× 209 1.7× 25 0.4× 82 1.3× 57 1.1× 10 519
Whitney E. Heavner United States 10 463 1.2× 132 1.1× 21 0.3× 51 0.8× 146 2.8× 12 610
Shahad Albadri France 13 284 0.7× 82 0.7× 25 0.4× 179 2.9× 40 0.8× 16 482
Jimmy de Melo United States 17 646 1.6× 194 1.6× 29 0.5× 105 1.7× 120 2.3× 18 754
Alex Chitsazan United States 9 414 1.0× 80 0.7× 31 0.5× 25 0.4× 40 0.8× 13 467
Anja Machate Germany 12 406 1.0× 117 1.0× 82 1.3× 317 5.1× 57 1.1× 21 645

Countries citing papers authored by Gabrielle H. Cannon

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle H. Cannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabrielle H. Cannon. 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 Gabrielle H. Cannon. The network helps show where Gabrielle H. Cannon may publish in the future.

Co-authorship network of co-authors of Gabrielle H. Cannon

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

All Works

9 of 9 papers shown
1.
Brown, Nolan J., et al.. (2026). Latent Regulatory Programs Generate Synthetic T Cell States with Enhanced Therapeutic Potential. bioRxiv (Cold Spring Harbor Laboratory).
3.
Chatterjee, Sumantra, et al.. (2023). Ret deficiency decreases neural crest progenitor proliferation and restricts fate potential during enteric nervous system development. Proceedings of the National Academy of Sciences. 120(34). e2211986120–e2211986120. 11 indexed citations
4.
Carosso, Giovanni A., Leandros Boukas, Jonathan J. Augustin, et al.. (2019). Precocious neuronal differentiation and disrupted oxygen responses in Kabuki syndrome. JCI Insight. 4(20). 39 indexed citations
5.
Clark, Brian S., Genevieve Stein-O’Brien, Fion Shiau, et al.. (2019). Single-Cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification. Neuron. 102(6). 1111–1126.e5. 301 indexed citations breakdown →
6.
Hook, Paul W., Sarah A. McClymont, Gabrielle H. Cannon, et al.. (2018). Single-Cell RNA-Seq of Mouse Dopaminergic Neurons Informs Candidate Gene Selection for Sporadic Parkinson Disease. The American Journal of Human Genetics. 102(3). 427–446. 90 indexed citations
8.
Cannon, Gabrielle H., et al.. (2017). Differences in soil fungal assemblages associated with native and non-native tree species of varying weediness. Biological Invasions. 20(4). 891–904. 2 indexed citations
9.
Cannon, Gabrielle H., et al.. (2013). Assessment of plant community restoration following Tree-of-Heaven (Ailanthus altissima) control by Verticillium albo-atrum. Biological Invasions. 15(9). 1887–1893. 21 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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