Danielle Buckley

2.2k total citations · 1 hit paper
5 papers, 1.3k citations indexed

About

Danielle Buckley is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Danielle Buckley has authored 5 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Danielle Buckley's work include Blood disorders and treatments (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Cystic Fibrosis Research Advances (1 paper). Danielle Buckley is often cited by papers focused on Blood disorders and treatments (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Cystic Fibrosis Research Advances (1 paper). Danielle Buckley collaborates with scholars based in United States, Czechia and Sweden. Danielle Buckley's co-authors include Maynard V. Olson, Rajinder Kaul, Samuel I. Miller, David A. D’Argenio, Bonnie W. Ramsey, David P. Speert, Samuel M. Moskowitz, Eric E. Smith, Lucas R. Hoffman and Zaining Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Genetics.

In The Last Decade

Danielle Buckley

5 papers receiving 1.2k citations

Hit Papers

Genetic adaptation by Pseudomonas aeruginosa to the airwa... 2006 2026 2012 2019 2006 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genetic adaptation by Pseudomonas aeruginosa to the airways of cystic fibrosis patients
    2006 1.0k citations Eric E. Smith, Danielle Buckley et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Buckley United States 4 888 485 410 364 229 5 1.3k
Channakhone Saenphimmachak United States 3 791 0.9× 333 0.7× 424 1.0× 365 1.0× 234 1.0× 3 1.1k
Jeevan Jyot United States 15 678 0.8× 306 0.6× 256 0.6× 199 0.5× 288 1.3× 20 1.1k
Mladen Tomich United States 11 415 0.5× 140 0.3× 78 0.2× 189 0.5× 216 0.9× 12 797
Daniel J. Morton United States 24 483 0.5× 246 0.5× 108 0.3× 118 0.3× 99 0.4× 51 1.3k
Graham J. Boulnois United Kingdom 15 416 0.5× 263 0.5× 111 0.3× 34 0.1× 140 0.6× 22 1.0k
Peter M. Power Australia 18 611 0.7× 211 0.4× 79 0.2× 44 0.1× 102 0.4× 22 1.0k
Francesca Forti Italy 20 774 0.9× 365 0.8× 160 0.4× 23 0.1× 122 0.5× 39 1.3k
Sun Sik Chung South Korea 12 511 0.6× 259 0.5× 64 0.2× 24 0.1× 847 3.7× 16 1.2k
Barbro Lindmark Sweden 9 418 0.5× 189 0.4× 134 0.3× 18 0.0× 492 2.1× 11 1.1k
Christian Rüter Germany 15 428 0.5× 177 0.4× 63 0.2× 25 0.1× 266 1.2× 28 994

Countries citing papers authored by Danielle Buckley

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Buckley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Buckley

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

All Works

5 of 5 papers shown
1.
Smith, Eric E., Danielle Buckley, Zaining Wu, et al.. (2006). Genetic adaptation by Pseudomonas aeruginosa to the airways of cystic fibrosis patients. Proceedings of the National Academy of Sciences. 103(22). 8487–8492. 1047 indexed citations breakdown →
2.
Bubb, Kerry L., Danielle Buckley, Eric Haugen, et al.. (2006). Scan of Human Genome Reveals No New Loci Under Ancient Balancing Selection. Genetics. 173(4). 2165–2177. 94 indexed citations
3.
Boxer, Laurence A., Steven Stein, Danielle Buckley, Audrey Anna Bolyard, & David C. Dale. (2006). Strong evidence for autosomal dominant inheritance of severe congenital neutropenia associated with ELA2 Mutations. The Journal of Pediatrics. 148(5). 633–636. 39 indexed citations
4.
Rohmer, Laurence, M. Brittnacher, Kerstin Svensson, et al.. (2006). Potential Source of Francisella tularensis Live Vaccine Strain Attenuation Determined by Genome Comparison. Infection and Immunity. 74(12). 6895–6906. 69 indexed citations
5.
Boxer, Laurence A., Steven Stein, Danielle Buckley, et al.. (2004). Unique Evidence for Autosomal Dominant Inheritance of Severe Congenital Neutropenia.. Blood. 104(11). 1457–1457. 1 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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