Danielle M. Clancy
Impact in
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
- Dermatology top 2%
- Dermatology and Skin Diseases
Papers in
- Immunology 10
- Immune Response and Inflammation 5
- Psoriasis: Treatment and Pathogenesis 5
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
- IL-33, ST2, and ILC Pathways 4
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- Inflammasome and immune disorders 4
- Cell death mechanisms and regulation 3
- Co-authors
- Séamus J. Martin (13 shared papers)Conor M. Henry (8 shared papers)Graeme P. Sullivan (9 shared papers)Sean P. Cullen (4 shared papers)Conor J. Kearney (3 shared papers)Dagmar Kulms (1 shared paper)Inna S. Afonina (1 shared paper)Ed C. Lavelle (3 shared papers)
- Journals
- Cell Reports (3 papers)FEBS Journal (2 papers)FEBS Open Bio (2 papers)Science Immunology (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- IrelandRussiaSwitzerland
In The Last Decade
Danielle M. Clancy
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Immunology 659
- Dermatology 200
- Immunology and Allergy 59
- Molecular Biology 479
- Biological Psychiatry 15
Countries citing papers authored by Danielle M. Clancy
This map shows the geographic impact of Danielle M. Clancy'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. Clancy 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. Clancy more than expected).
Fields of papers citing papers by Danielle M. Clancy
This network shows the impact of papers produced by Danielle M. Clancy. 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. Clancy. The network helps show where Danielle M. Clancy may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle M. Clancy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 253 | |
| 2 | 2015 | 189 | |
| 3 | 2018 | 153 | |
| 4 | 2017 | 113 | |
| 5 | 2015 | 109 | |
| 6 | 2014 | 66 | |
| 7 | 2018 | 64 | |
| 8 | 2020 | 50 | |
| 9 | 2018 | 39 | |
| 10 | 2022 | 16 | |
| 11 | 2016 | 13 | |
| 12 | 2018 | 13 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 4 |
About Danielle M. Clancy
Danielle M. Clancy is a scholar working on Immunology, Molecular Biology, Dermatology, Cell Biology and Pathology and Forensic Medicine, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Psoriasis: Treatment and Pathogenesis (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Inflammasome and immune disorders (4 papers), Cell death mechanisms and regulation (3 papers), Dermatology and Skin Diseases (2 papers) and Urticaria and Related Conditions (1 paper). The work is most often cited by research in Immunology (659 citations), Dermatology (200 citations), Immunology and Allergy (59 citations), Molecular Biology (479 citations) and Biological Psychiatry (15 citations). Danielle M. Clancy has collaborated with scholars based in Ireland, Russia and Switzerland. Frequent co-authors include Séamus J. Martin, Conor M. Henry, Graeme P. Sullivan, Sean P. Cullen, Conor J. Kearney, Dagmar Kulms, Inna S. Afonina, Ed C. Lavelle, Emer P. Reeves and Noel G. McElvaney. Their work appears in journals such as Cell Reports, FEBS Journal, FEBS Open Bio, Science Immunology and Cell Death and Disease.
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.