Dana Byrne

30 total papers · 476 total citations
16 papers, 171 citations indexed

About

Dana Byrne is a scholar working on Epidemiology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Dana Byrne has authored 16 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Infectious Diseases and 4 papers in Pharmacology. Recurrent topics in Dana Byrne's work include Antibiotics Pharmacokinetics and Efficacy (4 papers), Hepatitis B Virus Studies (4 papers) and Hepatitis C virus research (4 papers). Dana Byrne is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (4 papers), Hepatitis B Virus Studies (4 papers) and Hepatitis C virus research (4 papers). Dana Byrne collaborates with scholars based in United States, United Kingdom and Qatar. Dana Byrne's co-authors include P. V. Macrae, E T Houang, J. E. Thorpe, Jay R. Kostman, Craig Newcomb, Maximilian Herlim, Dena M. Carbonari, Yu‐Xiao Yang, Sean Hennessy and Vincent Lo Re and has published in prestigious journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy and Journal of Hepatology.

In The Last Decade

Dana Byrne

13 papers receiving 168 citations

Author Peers

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

Author						Papers	Cites
Dana Byrne	97	78	37	27	26	16	171
Georgios Schinas	65 0.7×	82 1.1×	13 0.4×	9 0.3×	31 1.2×	30	230
Sophie Mahy	51 0.5×	46 0.6×	20 0.5×	6 0.2×	12 0.5×	16	183
Bahadır Ceylan	143 1.5×	42 0.5×	8 0.2×	91 3.4×	32 1.2×	26	245
Jeong Eun Lee	73 0.8×	83 1.1×	9 0.2×	8 0.3×	21 0.8×	30	205
Jacqueline Nguyen	122 1.3×	67 0.9×	29 0.8×	24 0.9×	25 1.0×	22	255
Sheng-Hong Lin	105 1.1×	46 0.6×	12 0.3×	4 0.1×	22 0.8×	18	225
Daniela Segala	64 0.7×	58 0.7×	6 0.2×	5 0.2×	12 0.5×	16	169
Raymond Lin	128 1.3×	88 1.1×	28 0.8×	35 1.3×	13 0.5×	15	250
Fabien Le Marec	45 0.5×	82 1.1×	14 0.4×	5 0.2×	22 0.8×	15	163
Eliseo Pastor-Villalba	112 1.2×	35 0.4×	23 0.6×	4 0.1×	16 0.6×	20	185

Countries citing papers authored by Dana Byrne

Since Specialization

Citations

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

Fields of papers citing papers by Dana Byrne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Byrne

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Byrne. A scholar is included among the top collaborators of Dana Byrne 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 Dana Byrne. Dana Byrne 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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