Deirdre E. Donnelly

29 total papers · 424 total citations
17 papers, 252 citations indexed

About

Deirdre E. Donnelly is a scholar working on Physiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Deirdre E. Donnelly has authored 17 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Deirdre E. Donnelly's work include Tuberous Sclerosis Complex Research (5 papers), Respiratory and Cough-Related Research (3 papers) and Asthma and respiratory diseases (3 papers). Deirdre E. Donnelly is often cited by papers focused on Tuberous Sclerosis Complex Research (5 papers), Respiratory and Cough-Related Research (3 papers) and Asthma and respiratory diseases (3 papers). Deirdre E. Donnelly collaborates with scholars based in United Kingdom, United States and Bangladesh. Deirdre E. Donnelly's co-authors include Mark L. Everard, Patrick J. Morrison, Langping He, Victoria Nesbitt, Charlotte L. Alston, Robert McFarland, Robert W. Taylor, Ellen Crushell, A. Brew Atkinson and Alexander P. Maxwell and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Thorax and Journal of Advanced Nursing.

In The Last Decade

Deirdre E. Donnelly

14 papers receiving 246 citations

Author Peers

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

Author Last Decade Papers Cites
Deirdre E. Donnelly 140 90 72 65 51 17 252
Dimitrios Tsakiris 50 0.4× 32 0.4× 29 0.4× 18 0.3× 19 0.4× 17 325
Jeffrey Lewis 36 0.3× 32 0.4× 45 0.6× 31 0.5× 69 1.4× 14 331
Catherine Frette 146 1.0× 116 1.3× 31 0.4× 10 0.2× 36 0.7× 12 308
Gavin Royle 46 0.3× 42 0.5× 47 0.7× 7 0.1× 64 1.3× 16 320
Ciro D’Orazio 189 1.4× 36 0.4× 39 0.5× 8 0.1× 28 0.5× 19 313
Deni Aldo Procaccini 13 0.1× 152 1.7× 96 1.3× 17 0.3× 22 0.4× 18 324
Barbara Piras 148 1.1× 107 1.2× 74 1.0× 13 0.2× 35 0.7× 18 312
Michael A. Ghebre 196 1.4× 205 2.3× 21 0.3× 66 1.0× 66 1.3× 12 327
Riccardo Pela 255 1.8× 122 1.4× 32 0.4× 47 0.7× 29 0.6× 18 311
Keiko Nunomiya 202 1.4× 58 0.6× 38 0.5× 14 0.2× 48 0.9× 17 296

Countries citing papers authored by Deirdre E. Donnelly

Since Specialization
Citations

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

Fields of papers citing papers by Deirdre E. Donnelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deirdre E. Donnelly. 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 Deirdre E. Donnelly. The network helps show where Deirdre E. Donnelly may publish in the future.

Co-authorship network of co-authors of Deirdre E. Donnelly

This figure shows the co-authorship network connecting the top 25 collaborators of Deirdre E. Donnelly. A scholar is included among the top collaborators of Deirdre E. Donnelly 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 Deirdre E. Donnelly. Deirdre E. Donnelly 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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