Daniel Fraher

658 total citations
8 papers, 358 citations indexed

About

Daniel Fraher is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Daniel Fraher has authored 8 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 4 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Daniel Fraher's work include Zebrafish Biomedical Research Applications (6 papers), Retinoids in leukemia and cellular processes (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Daniel Fraher is often cited by papers focused on Zebrafish Biomedical Research Applications (6 papers), Retinoids in leukemia and cellular processes (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Daniel Fraher collaborates with scholars based in Australia, United States and Singapore. Daniel Fraher's co-authors include Yann Gibert, Peter J. Meikle, Natalie A. Mellett, Andrew J. Sinclair, Andrew Sanigorski, Éric Samarut, Vincent Laudet, Ken Walder, Alister C. Ward and Shona Morrison and has published in prestigious journals such as SHILAP Revista de lepidopterología, Endocrinology and Molecular Psychiatry.

In The Last Decade

Daniel Fraher

8 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Fraher Australia 7 145 106 59 52 40 8 358
Koki Kawaguchi Japan 11 174 1.2× 119 1.1× 54 0.9× 23 0.4× 28 0.7× 22 415
Jane K. La Du United States 9 119 0.8× 96 0.9× 147 2.5× 45 0.9× 24 0.6× 13 362
Reiko Kawase Japan 10 164 1.1× 114 1.1× 54 0.9× 19 0.4× 25 0.6× 10 364
Gayathri Chandrasekar Sweden 11 143 1.0× 62 0.6× 52 0.9× 19 0.4× 79 2.0× 22 376
Di Gregorio Italy 12 147 1.0× 54 0.5× 74 1.3× 13 0.3× 43 1.1× 19 446
Kevin A. Lanham United States 11 171 1.2× 70 0.7× 175 3.0× 26 0.5× 16 0.4× 14 446
Osama A. Elsalini Germany 5 183 1.3× 104 1.0× 82 1.4× 83 1.6× 90 2.3× 7 443
Sara E. Wirbisky United States 10 187 1.3× 66 0.6× 197 3.3× 33 0.6× 28 0.7× 12 557
Maria Sandbacka Finland 9 174 1.2× 83 0.8× 134 2.3× 26 0.5× 73 1.8× 12 474
L.A. White United States 8 128 0.9× 143 1.3× 63 1.1× 13 0.3× 28 0.7× 8 397

Countries citing papers authored by Daniel Fraher

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fraher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Fraher

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

All Works

8 of 8 papers shown
1.
Monroe, Jerry D., Daniel Fraher, Xiaoqian Huang, et al.. (2022). Identification of novel lipid biomarkers in xmrk- and Myc-induced models of hepatocellular carcinoma in zebrafish. SHILAP Revista de lepidopterología. 10(1). 7–7. 3 indexed citations
2.
Fraher, Daniel, Tingsheng Yu, Ken Walder, et al.. (2021). The endocannabinoid system and retinoic acid signaling combine to influence bone growth. Molecular and Cellular Endocrinology. 529. 111267–111267. 6 indexed citations
3.
Byreddy, Avinesh R., et al.. (2017). Rapid quantification of neutral lipids and triglycerides during zebrafish embryogenesis. The International Journal of Developmental Biology. 61(1-2). 105–111. 22 indexed citations
4.
Fraher, Daniel, Andrew Sanigorski, Natalie A. Mellett, et al.. (2016). Zebrafish Embryonic Lipidomic Analysis Reveals that the Yolk Cell Is Metabolically Active in Processing Lipid. Cell Reports. 14(6). 1317–1329. 192 indexed citations
5.
Fraher, Daniel, Fiona Collier, Janine McMillan, et al.. (2015). Citalopram and sertraline exposure compromises embryonic bone development. Molecular Psychiatry. 21(5). 656–664. 25 indexed citations
6.
Fraher, Daniel, Shona Morrison, Sean L. McGee, et al.. (2015). Lipid Abundance in Zebrafish Embryos Is Regulated by Complementary Actions of the Endocannabinoid System and Retinoic Acid Pathway. Endocrinology. 156(10). 3596–3609. 34 indexed citations
7.
Samarut, Éric, Daniel Fraher, Vincent Laudet, & Yann Gibert. (2014). ZebRA: An overview of retinoic acid signaling during zebrafish development. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(2). 73–83. 47 indexed citations
8.
Andreeva, Viktoria, et al.. (2011). Identification of adult mineralized tissue zebrafish mutants. genesis. 49(4). 360–366. 29 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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