Joshua T. Gamse

2.4k total citations · 1 hit paper
36 papers, 1.8k citations indexed

About

Joshua T. Gamse is a scholar working on Molecular Biology, Cell Biology and Cognitive Neuroscience. According to data from OpenAlex, Joshua T. Gamse has authored 36 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Cell Biology and 10 papers in Cognitive Neuroscience. Recurrent topics in Joshua T. Gamse's work include Developmental Biology and Gene Regulation (20 papers), Zebrafish Biomedical Research Applications (13 papers) and Congenital heart defects research (12 papers). Joshua T. Gamse is often cited by papers focused on Developmental Biology and Gene Regulation (20 papers), Zebrafish Biomedical Research Applications (13 papers) and Congenital heart defects research (12 papers). Joshua T. Gamse collaborates with scholars based in United States, France and Germany. Joshua T. Gamse's co-authors include Hazel Sive, Marnie E. Halpern, Christine Thisse, Bernard Thisse, Mukesh Patel, Arantza Muriana, Randall T. Peterson, Steven Van Cruchten, Jennifer L. Freeman and Christian Lawrence and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Neuroscience.

In The Last Decade

Joshua T. Gamse

35 papers receiving 1.8k citations

Hit Papers

Use of Zebrafish in Drug Discovery Toxicology 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
Joshua T. Gamse United States 21 1.1k 579 334 303 229 36 1.8k
Amy L. Rubinstein United States 13 1.0k 0.9× 680 1.2× 153 0.5× 103 0.3× 169 0.7× 16 1.6k
Jennifer O. Liang United States 15 916 0.8× 357 0.6× 196 0.6× 131 0.4× 213 0.9× 34 1.3k
Takayuki Sassa Japan 22 1.5k 1.3× 577 1.0× 399 1.2× 148 0.5× 216 0.9× 44 2.5k
Theo van Veen Sweden 29 1.8k 1.6× 345 0.6× 913 2.7× 82 0.3× 105 0.5× 56 2.4k
Alvaro Sagasti United States 28 974 0.9× 662 1.1× 1.0k 3.0× 93 0.3× 130 0.6× 48 2.7k
Joseph Bilotta United States 17 798 0.7× 678 1.2× 340 1.0× 231 0.8× 42 0.2× 34 1.3k
O. Trujillo‐Cenóz Uruguay 26 625 0.6× 302 0.5× 1.0k 3.1× 109 0.4× 209 0.9× 59 1.8k
Sepand Rastegar Germany 30 1.3k 1.2× 971 1.7× 285 0.9× 58 0.2× 202 0.9× 72 2.6k
Shannon Saszik United States 20 1.5k 1.3× 531 0.9× 877 2.6× 229 0.8× 52 0.2× 26 2.0k
Harald Hutter Canada 30 1.4k 1.3× 451 0.8× 393 1.2× 32 0.1× 192 0.8× 62 2.8k

Countries citing papers authored by Joshua T. Gamse

Since Specialization
Citations

This map shows the geographic impact of Joshua T. Gamse'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 Joshua T. Gamse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua T. Gamse more than expected).

Fields of papers citing papers by Joshua T. Gamse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua T. Gamse. 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 Joshua T. Gamse. The network helps show where Joshua T. Gamse may publish in the future.

Co-authorship network of co-authors of Joshua T. Gamse

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua T. Gamse. A scholar is included among the top collaborators of Joshua T. Gamse 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 Joshua T. Gamse. Joshua T. Gamse 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.
Ioan‐Facsinay, Andreea, Andrea Imle, Lars Guelen, et al.. (2023). 1072P DuoBody-EpCAMx4-1BB mediates conditional T cell co-stimulation and promotes antitumor activity in preclinical models. Annals of Oncology. 34. S645–S646.
2.
Gamse, Joshua T., et al.. (2020). Decreased immune response in monkeys administered a human T-effector cell agonist (OX40) antibody. Toxicology and Applied Pharmacology. 409. 115285–115285. 4 indexed citations
3.
Gamse, Joshua T. & Daniel A. Gorelick. (2016). Mixtures, Metabolites, and Mechanisms: Understanding Toxicology Using Zebrafish. Zebrafish. 13(5). 377–378. 27 indexed citations
4.
Gamse, Joshua T., et al.. (2015). Distinct requirements for Wntless in habenular development. Developmental Biology. 406(2). 117–128. 18 indexed citations
5.
Kim, Seok-Hyung, Shu-Yu Wu, Jeong‐In Baek, et al.. (2015). A Post-Developmental Genetic Screen for Zebrafish Models of Inherited Liver Disease. PLoS ONE. 10(5). e0125980–e0125980. 28 indexed citations
6.
Lee, Stacey, Patrick Page-McCaw, & Joshua T. Gamse. (2014). Kctd12 and Ulk2 Partner to Regulate Dendritogenesis and Behavior in the Habenular Nuclei. PLoS ONE. 9(10). e110280–e110280. 4 indexed citations
7.
Erdoğan, Begüm, et al.. (2014). Dbx1b defines the dorsal habenular progenitor domain in the zebrafish epithalamus. Neural Development. 9(1). 20–20. 9 indexed citations
8.
Garric, Laurence, Brice Ronsin, Myriam Roussigné, et al.. (2014). Pitx2c ensures habenular asymmetry by restricting parapineal cell number. Development. 141(7). 1572–1579. 16 indexed citations
9.
Wu, Shu-Yu, et al.. (2013). Mediator subunit 12 coordinates intrinsic and extrinsic control of epithalamic development. Developmental Biology. 385(1). 13–22. 14 indexed citations
10.
Khuansuwan, Sataree, et al.. (2012). Failure in closure of the anterior neural tube causes left isomerization of the zebrafish epithalamus. Developmental Biology. 374(2). 333–344. 5 indexed citations
11.
Doll, Caleb A., et al.. (2011). Subnuclear development of the zebrafish habenular nuclei requires ER translocon function. Developmental Biology. 360(1). 44–57. 14 indexed citations
12.
Bain, Emily J., et al.. (2011). Light and melatonin schedule neuronal differentiation in the habenular nuclei. Developmental Biology. 358(1). 251–261. 32 indexed citations
13.
Taylor, Robert W., Jianying Qi, Adrian P. Trifa, et al.. (2011). Asymmetric Inhibition of Ulk2 Causes Left-Right Differences in Habenular Neuropil Formation. Journal of Neuroscience. 31(27). 9869–9878. 22 indexed citations
14.
Snelson, Corey D., Jarred Burkart, & Joshua T. Gamse. (2008). Formation of the asymmetric pineal complex in zebrafish requires two independently acting transcription factors. Developmental Dynamics. 237(12). 3538–3544. 19 indexed citations
15.
Gamse, Joshua T., et al.. (2007). Selective asymmetry in a conserved forebrain to midbrain projection. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 308B(5). 669–678. 36 indexed citations
16.
Pineda, Ricardo, et al.. (2006). Knockdown of Nav 1.6a Na+ channels affects zebrafish motoneuron development. Development. 133(19). 3827–3836. 57 indexed citations
17.
Tropepe, Vincent, Shuhong Li, Amanda Dickinson, Joshua T. Gamse, & Hazel Sive. (2005). Identification of a BMP inhibitor-responsive promoter module required for expression of the early neural gene zic1. Developmental Biology. 289(2). 517–529. 23 indexed citations
18.
Gamse, Joshua T., Yu-chi Shen, Christine Thisse, et al.. (2001). Otx5 regulates genes that show circadian expression in the zebrafish pineal complex. Nature Genetics. 30(1). 117–121. 135 indexed citations
19.
Gamse, Joshua T. & Hazel Sive. (2001). Early anteroposterior division of the presumptive neurectoderm in Xenopus. Mechanisms of Development. 104(1-2). 21–36. 59 indexed citations
20.
Gamse, Joshua T. & Hazel Sive. (2000). Vertebrate anteroposterior patterning: the Xenopus neurectoderm as a paradigm. BioEssays. 22(11). 976–986. 86 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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