Joshua T. Gamse

2.4k citations
36 papers · 1.8k indexed · 1 hit paper · h-index 21

Joshua T. Gamse

35 papers receiving 1.8k citations

Hit Papers

Use of Zebrafish in Drug Discovery Toxicology3832019202620212023100200300

Peers

Joshua T. Gamse
Comparison fields: 5 of 111
  • Cell Biology 579
  • Endocrine and Autonomic Systems 162
  • Developmental Neuroscience 90
  • Aging 37
  • Cellular and Molecular Neuroscience 334
Replace Jennifer O. Liang with:
Jennifer O. Liang United States
Takayuki Sassa Japan
Amy L. Rubinstein United States
O. Trujillo‐Cenóz Uruguay
Theo van Veen Sweden
Sepand Rastegar Germany
Arzu Çelik Türkiye
Robbert Créton United States
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Joshua T. Gamse relative to Jennifer O. Liang United States Jennifer O. Liang's profile →
Citations per field
00.5×3.9×
Jennifer O. Liang · 1×
Citations per year

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

The 25 scholars most cited alongside Joshua T. Gamse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joshua T. Gamse Line = papers co-authored together Joshua T. Gamse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 201627
3 201518
4 201528
5 20144
6 20149
7 201410
8 201416
9 201314
10 20125
11 201114
12 201132
13 201122
14 20116
15 200819
16 200736
17 200523
18 200159
19 2001135
20 200086

About Joshua T. Gamse

Joshua T. Gamse is a scholar working on Cell Biology, Endocrine and Autonomic Systems and Aging, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (20 papers), Zebrafish Biomedical Research Applications (13 papers), Congenital heart defects research (12 papers), Hemispheric Asymmetry in Neuroscience (10 papers), Axon Guidance and Neuronal Signaling (6 papers), Circadian rhythm and melatonin (4 papers), Neurobiology and Insect Physiology Research (3 papers) and Morphological variations and asymmetry (3 papers). The work is most often cited by research in Cell Biology (579 citations), Endocrine and Autonomic Systems (162 citations) and Developmental Neuroscience (90 citations). Joshua T. Gamse has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Hazel Sive, Marnie E. Halpern, Bernard Thisse, Christine Thisse, Mukesh Patel, Jennifer L. Freeman, Steven Cassar, Randall T. Peterson, Steven Van Cruchten and Christian Lawrence. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Neuroscience.

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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