Daniel J. Davis

1.6k total citations
38 papers, 1.1k citations indexed

About

Daniel J. Davis is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Daniel J. Davis has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Immunology. Recurrent topics in Daniel J. Davis's work include CRISPR and Genetic Engineering (7 papers), Zebrafish Biomedical Research Applications (4 papers) and Pluripotent Stem Cells Research (4 papers). Daniel J. Davis is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Zebrafish Biomedical Research Applications (4 papers) and Pluripotent Stem Cells Research (4 papers). Daniel J. Davis collaborates with scholars based in United States, Luxembourg and United Kingdom. Daniel J. Davis's co-authors include Aaron C. Ericsson, Catherine H. Gillespie, Elizabeth C. Bryda, Eldin Jašarević, Craig L. Franklin, Catherine E. Hagan, Susheel Bhanu Busi, David Q. Beversdorf, Alessandro Bitto and Herman Tung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The FASEB Journal.

In The Last Decade

Daniel J. Davis

33 papers receiving 1.1k 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 J. Davis United States 14 466 218 163 158 88 38 1.1k
Catherine H. Gillespie United States 7 307 0.7× 191 0.9× 87 0.5× 148 0.9× 61 0.7× 8 694
Julien Marquis Switzerland 18 1.2k 2.6× 197 0.9× 118 0.7× 89 0.6× 46 0.5× 36 1.9k
J. Landis United States 16 604 1.3× 223 1.0× 176 1.1× 782 4.9× 32 0.4× 29 1.5k
Amin Haghani United States 25 807 1.7× 179 0.8× 68 0.4× 187 1.2× 17 0.2× 66 1.7k
Rebecca I. Clark United Kingdom 13 570 1.2× 224 1.0× 522 3.2× 372 2.4× 60 0.7× 15 1.5k
Ramy K. A. Sayed Egypt 17 448 1.0× 243 1.1× 249 1.5× 49 0.3× 47 0.5× 60 1.3k
Jing‐He Tan China 33 1.1k 2.4× 74 0.3× 314 1.9× 92 0.6× 28 0.3× 145 3.1k
Sofia Axelrod United States 5 215 0.5× 299 1.4× 146 0.9× 118 0.7× 33 0.4× 6 1.1k
Heather A. Simmons United States 17 813 1.7× 1.0k 4.8× 95 0.6× 690 4.4× 49 0.6× 61 2.7k

Countries citing papers authored by Daniel J. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Davis. A scholar is included among the top collaborators of Daniel J. Davis 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 J. Davis. Daniel J. Davis 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.
Busi, Susheel Bhanu, Nathan J. Bivens, Daniel J. Davis, et al.. (2025). Fetal programming by the parental microbiome of offspring behavior, and DNA methylation and gene expression within the hippocampus. Microbiome. 13(1). 254–254.
2.
McDonald, Kerry S., et al.. (2025). Myosin binding protein-C modulates loaded sarcomere shortening in rodent permeabilized cardiac myocytes. The Journal of General Physiology. 157(3).
3.
Davis, Daniel J., et al.. (2024). Comparison of Thermal and Mechanical Pain Testing Modalities in Sprague Dawley and Fischer 344 Rats (Rattus norvegicus). Journal of the American Association for Laboratory Animal Science. 1–6.
4.
Davis, Daniel J., et al.. (2024). CRISPR-Cas9 Genome Editing of Rat Embryos using Adeno-Associated Virus (AAV) and 2-Cell Embryo Electroporation. Journal of Visualized Experiments. 2 indexed citations
5.
Giancotti, Luigino Antonio, et al.. (2024). Behavioral characterization of G-protein-coupled receptor 160 knockout mice. Pain. 165(6). 1361–1371. 1 indexed citations
6.
7.
Davis, Daniel J., et al.. (2023). Ablation of placental REST deregulates fetal brain metabolism and impacts gene expression of the offspring brain at the postnatal and adult stages. The FASEB Journal. 38(1). e23349–e23349. 3 indexed citations
8.
Men, Hongsheng, Daniel J. Davis, & Elizabeth C. Bryda. (2023). Gene Targeting in Rat Embryonic Stem Cells. Methods in molecular biology. 2631. 341–353. 1 indexed citations
9.
Kelleher, Andrew M., et al.. (2022). Prss29 Cre recombinase mice are useful to study adult uterine gland function. genesis. 60(10-12). e23493–e23493. 4 indexed citations
10.
Smith, C E, Monique A. Lorson, Jiude Mao, et al.. (2021). The Ighmbp2D564N mouse model is the first SMARD1 model to demonstrate respiratory defects. Human Molecular Genetics. 31(8). 1293–1307. 13 indexed citations
11.
Ericsson, Aaron C., et al.. (2021). Molecular and culture-based assessment of the microbiome in a zebrafish (Danio rerio) housing system during set-up and equilibration. SHILAP Revista de lepidopterología. 3(1). 55–55. 5 indexed citations
12.
Davis, Daniel J., et al.. (2020). Optimal Load Magnitude and Placement for Peak Power Production in a Vertical Jump: A Segmental Contribution Analysis. The Journal of Strength and Conditioning Research. 36(4). 911–919. 3 indexed citations
13.
Bryda, Elizabeth C., et al.. (2019). A novel conditional ZsGreen-expressing transgenic reporter rat strain for validating Cre recombinase expression. Scientific Reports. 9(1). 13330–13330. 11 indexed citations
14.
Shababi, Monir, C E Smith, Eric Villalón, et al.. (2019). Development of a novel severe mouse model of spinal muscular atrophy with respiratory distress type 1: FVB-nmd. Biochemical and Biophysical Research Communications. 520(2). 341–346. 10 indexed citations
15.
Davis, Daniel J., et al.. (2017). Sex determines effect of physical activity on diet preference: Association of striatal opioids and gut microbiota composition. Behavioural Brain Research. 334. 16–25. 24 indexed citations
16.
Davis, Daniel J., Elizabeth C. Bryda, Catherine H. Gillespie, & Aaron C. Ericsson. (2016). Microbial modulation of behavior and stress responses in zebrafish larvae. Behavioural Brain Research. 311. 219–227. 102 indexed citations
17.
Ferguson, Bradley J., Sarah Marler, Lily L. Altstein, et al.. (2016). Associations between cytokines, endocrine stress response, and gastrointestinal symptoms in autism spectrum disorder. Brain Behavior and Immunity. 58. 57–62. 67 indexed citations
18.
Davis, Daniel J., Patrick Hecht, Eldin Jašarević, et al.. (2016). Sex-specific effects of docosahexaenoic acid (DHA) on the microbiome and behavior of socially-isolated mice. Brain Behavior and Immunity. 59. 38–48. 87 indexed citations
19.
Davis, Daniel J., et al.. (2016). Lactobacillus plantarum attenuates anxiety-related behavior and protects against stress-induced dysbiosis in adult zebrafish. Scientific Reports. 6(1). 33726–33726. 115 indexed citations
20.
Winkler, Isaac S., Daniel J. Davis, John O. Stireman, et al.. (2015). Explosive radiation or uninformative genes? Origin and early diversification of tachinid flies (Diptera: Tachinidae). Molecular Phylogenetics and Evolution. 88. 38–54. 50 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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