Jill A. Dalton

92 total papers · 500 total citations
34 papers, 357 citations indexed

About

Jill A. Dalton is a scholar working on Cardiology and Cardiovascular Medicine, Small Animals and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jill A. Dalton has authored 34 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 8 papers in Small Animals and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jill A. Dalton's work include Animal testing and alternatives (8 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Jill A. Dalton is often cited by papers focused on Animal testing and alternatives (8 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Jill A. Dalton collaborates with scholars based in United States, United Kingdom and Canada. Jill A. Dalton's co-authors include M. Lader, Isac Germano Karniol, Valerie H. Curran, M Lader, David V. Gauvin, Theodore J. Baird, Joshua D. Yoder, B. D. Gossen, Mary Ruth McDonald and Michael J. Caruso and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Psychopharmacology and Regulatory Toxicology and Pharmacology.

In The Last Decade

Jill A. Dalton

32 papers receiving 336 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jill A. Dalton 107 70 65 56 46 34 357
W. Classen 47 0.4× 132 1.9× 21 0.3× 85 1.5× 55 1.2× 20 382
J. Hooisma 77 0.7× 71 1.0× 17 0.3× 49 0.9× 19 0.4× 21 385
Ranka Samardžić 37 0.3× 114 1.6× 34 0.5× 80 1.4× 21 0.5× 34 330
Charles W. Graham 38 0.4× 73 1.0× 63 1.0× 67 1.2× 10 0.2× 24 378
Domino Ef 89 0.8× 145 2.1× 27 0.4× 105 1.9× 7 0.2× 39 322
J Kugler 80 0.7× 46 0.7× 68 1.0× 23 0.4× 7 0.2× 41 350
L. de Angelis 62 0.6× 192 2.7× 31 0.5× 90 1.6× 4 0.1× 28 351
A. Boris 34 0.3× 91 1.3× 56 0.9× 53 0.9× 22 0.5× 20 329
Guido van Amerongen 97 0.9× 82 1.2× 22 0.3× 78 1.4× 13 0.3× 20 402
Charles Angel 30 0.3× 62 0.9× 40 0.6× 65 1.2× 51 1.1× 34 366

Countries citing papers authored by Jill A. Dalton

Since Specialization
Citations

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

Fields of papers citing papers by Jill A. Dalton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill A. Dalton. 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 Jill A. Dalton. The network helps show where Jill A. Dalton may publish in the future.

Co-authorship network of co-authors of Jill A. Dalton

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

All Works

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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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