Danielle M. Dunlea

10 total papers · 830 total citations
6 papers, 74 citations indexed

About

Danielle M. Dunlea is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Danielle M. Dunlea has authored 6 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Pulmonary and Respiratory Medicine and 1 paper in Molecular Biology. Recurrent topics in Danielle M. Dunlea's work include Protease and Inhibitor Mechanisms (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Protein Hydrolysis and Bioactive Peptides (1 paper). Danielle M. Dunlea is often cited by papers focused on Protease and Inhibitor Mechanisms (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Protein Hydrolysis and Bioactive Peptides (1 paper). Danielle M. Dunlea collaborates with scholars based in Ireland, United States and United Kingdom. Danielle M. Dunlea's co-authors include Emer P. Reeves, Noel G. McElvaney, Oliver J. McElvaney, Kerstin Pohl, Noreen Lacey, Cormac McCarthy, Michelle M. White, Tomás P. Carroll, Debananda Gogoi and Michael Henry and has published in prestigious journals such as The Journal of Immunology, American Journal of Respiratory Cell and Molecular Biology and Arthritis & Rheumatology.

In The Last Decade

Danielle M. Dunlea

6 papers receiving 73 citations

Author Peers

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

Author						Papers	Cites
Danielle M. Dunlea	32	28	21	12	11	6	74
Nadine Rüchel	46 1.4×	57 2.0×	16 0.8×	30 2.5×	7 0.6×	6	89
Gilles Udin	59 1.8×	30 1.1×	14 0.7×	13 1.1×	4 0.4×	5	92
Lucia Copáková	28 0.9×	11 0.4×	12 0.6×	20 1.7×	17 1.5×	8	69
Seonggon Kim	38 1.2×	11 0.4×	10 0.5×	9 0.8×	10 0.9×	8	61
Päivi M. Järvinen	67 2.1×	11 0.4×	20 1.0×	18 1.5×	3 0.3×	6	99
Harry Menon	23 0.7×	20 0.7×	11 0.5×	41 3.4×	4 0.4×	7	77
Julia Philipp	48 1.5×	40 1.4×	15 0.7×	24 2.0×	7 0.6×	7	95
Ashley Xia	47 1.5×	12 0.4×	12 0.6×	15 1.3×	3 0.3×	5	83
Shawn Goodwin	32 1.0×	15 0.5×	5 0.2×	6 0.5×	6 0.5×	5	70
Hila Fridman	104 3.3×	18 0.6×	23 1.1×	6 0.5×	7 0.6×	8	216

Countries citing papers authored by Danielle M. Dunlea

Since Specialization

Citations

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

Fields of papers citing papers by Danielle M. Dunlea

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle M. Dunlea

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle M. Dunlea. A scholar is included among the top collaborators of Danielle M. Dunlea 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 M. Dunlea. Danielle M. Dunlea 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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