Ryan Martin

2.1k total citations · 1 hit paper
31 papers, 877 citations indexed

About

Ryan Martin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Ryan Martin has authored 31 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Ryan Martin's work include Biomedical Text Mining and Ontologies (6 papers), Bioinformatics and Genomic Networks (5 papers) and Receptor Mechanisms and Signaling (5 papers). Ryan Martin is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Bioinformatics and Genomic Networks (5 papers) and Receptor Mechanisms and Signaling (5 papers). Ryan Martin collaborates with scholars based in United States, Canada and Japan. Ryan Martin's co-authors include Douglas G. Howe, Yvonne M. Bradford, Anne Eagle, Sridhar Ramachandran, Monte Westerfield, Leyla Ruzicka, Terence E. Hébert, Kevin Schaper, Sabrina Toro and Jason C. Tanny and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ryan Martin

28 papers receiving 868 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.

Zebrafish information network, the knowledgebase for Danio rerio research

2022 114 citations Yvonne M. Bradford, Ceri E. Van Slyke et al. Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Martin United States	14	568	151	147	132	107	31	877
Tsz‐Leung To United States	14	726 1.3×	108 0.7×	132 0.9×	122 0.9×	134 1.3×	18	1.0k
Karl A. Rodriguez United States	16	781 1.4×	69 0.5×	113 0.8×	96 0.7×	115 1.1×	30	1.2k
James A. Letts United States	17	1.7k 2.9×	80 0.5×	103 0.7×	198 1.5×	77 0.7×	28	2.0k
Simone Prinz Germany	21	764 1.3×	81 0.5×	263 1.8×	154 1.2×	57 0.5×	33	1.4k
Christopher Buccitelli Germany	6	631 1.1×	190 1.3×	159 1.1×	44 0.3×	141 1.3×	6	973
Lauren M. Saunders United States	18	984 1.7×	134 0.9×	218 1.5×	58 0.4×	99 0.9×	27	1.5k
Frank Koopmans Netherlands	17	694 1.2×	108 0.7×	153 1.0×	177 1.3×	89 0.8×	37	992
Maja Petković United Kingdom	12	742 1.3×	121 0.8×	266 1.8×	172 1.3×	50 0.5×	12	987
Kanako Ono Japan	24	842 1.5×	58 0.4×	433 2.9×	139 1.1×	66 0.6×	69	1.7k
Michael J. Palladino United States	24	1.3k 2.3×	62 0.4×	201 1.4×	283 2.1×	108 1.0×	47	1.8k

Countries citing papers authored by Ryan Martin

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Martin

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

20 of 20 papers shown

Bradford, Yvonne M., Ceri E. Van Slyke, Douglas G. Howe, et al.. (2025). ZFIN updates to support zebrafish environmental exposure data. Genetics. 229(3).

Martin, Ryan, et al.. (2024). ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures. 17509–17524.

Martin, Ryan, Andrew N. Bayne, Darlaine Pétrin, et al.. (2023). Gβγ subunits colocalize with RNA polymerase II and regulate transcription in cardiac fibroblasts. Journal of Biological Chemistry. 299(4). 103064–103064. 4 indexed citations

Bradford, Yvonne M., Ceri E. Van Slyke, Douglas G. Howe, et al.. (2023). From multiallele fish to nonstandard environments, how ZFIN assigns phenotypes, human disease models, and gene expression annotations to genes. Genetics. 224(1). 4 indexed citations

Bradford, Yvonne M., Ceri E. Van Slyke, Leyla Ruzicka, et al.. (2022). Zebrafish information network, the knowledgebase for Danio rerio research. Genetics. 220(4). 114 indexed citations breakdown →

Hernández-García, Álex, Stefan Bauer, Falk Hildebrand, et al.. (2022). Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease. Frontiers in Genetics. 13. 784397–784397. 20 indexed citations

Kafi, Kamran, et al.. (2021). Role of Digital Health and Artificial Intelligence in Inflammatory Bowel Disease: A Scoping Review. Genes. 12(10). 1465–1465. 19 indexed citations

Pétrin, Darlaine, et al.. (2021). Measuring hypertrophy in neonatal rat primary cardiomyocytes and human iPSC-derived cardiomyocytes. Methods. 203. 447–464. 4 indexed citations

Martin, Ryan, et al.. (2021). High-Content Single-Cell Förster Resonance Energy Transfer Imaging of Cultured Striatal Neurons Reveals Novel Cross-Talk in the Regulation of Nuclear Signaling by Protein Kinase A and Extracellular Signal-Regulated Kinase 1/2. Molecular Pharmacology. 100(6). 526–539. 4 indexed citations

10.

Hoang, Tuan, Ryan Martin, Myriam Létourneau, et al.. (2021). Lipidated peptides derived from intracellular loops 2 and 3 of the urotensin II receptor act as biased allosteric ligands. Journal of Biological Chemistry. 297(3). 101057–101057. 3 indexed citations

11.

Howe, Douglas G., Sridhar Ramachandran, Yvonne M. Bradford, et al.. (2020). The Zebrafish Information Network: major gene page and home page updates. Nucleic Acids Research. 49(D1). D1058–D1064. 10 indexed citations

12.

Lukasheva, Viktoriya, Dominic Devost, Christian Le Gouill, et al.. (2020). Signal profiling of the β1AR reveals coupling to novel signalling pathways and distinct phenotypic responses mediated by β1AR and β2AR. Scientific Reports. 10(1). 8779–8779. 22 indexed citations

13.

Martin, Ryan, et al.. (2020). Dopamine D1 receptor signalling in dyskinetic Parkinsonian rats revealed by fiber photometry using FRET-based biosensors. Scientific Reports. 10(1). 14426–14426. 22 indexed citations

14.

Ruzicka, Leyla, Douglas G. Howe, Sridhar Ramachandran, et al.. (2018). The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources. Nucleic Acids Research. 47(D1). D867–D873. 98 indexed citations

15.

Martin, Ryan, Ya‐Lin Sun, Nicolas Audet, et al.. (2018). Receptor- and cellular compartment-specific activation of the cAMP/PKA pathway by α1-adrenergic and ETA endothelin receptors. Cellular Signalling. 44. 43–50. 12 indexed citations

16.

Martin, Ryan, Fabien Lacombat, Agathe Espagne, et al.. (2017). Ultrafast flavin photoreduction in an oxidized animal (6-4) photolyase through an unconventional tryptophan tetrad. Physical Chemistry Chemical Physics. 19(36). 24493–24504. 21 indexed citations

17.

Howe, Douglas G., Yvonne M. Bradford, Anne Eagle, et al.. (2016). A scientist's guide for submitting data to ZFIN. Methods in cell biology. 135. 451–481. 6 indexed citations

18.

Bradford, Yvonne M., Sabrina Toro, Sridhar Ramachandran, et al.. (2016). Zebrafish Models of Human Disease: Gaining Insight into Human Disease at ZFIN. ILAR Journal. 58(1). 4–16. 113 indexed citations

19.

Ruzicka, Leyla, Yvonne M. Bradford, Ken Frazer, et al.. (2015). ZFIN, The zebrafish model organism database: Updates and new directions. genesis. 53(8). 498–509. 53 indexed citations

20.

Goff, Loyal A., Abigail F. Groff, Martin Sauvageau, et al.. (2015). Spatiotemporal expression and transcriptional perturbations by long noncoding RNAs in the mouse brain. Proceedings of the National Academy of Sciences. 112(22). 6855–6862. 125 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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