Danielle L. McLean
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Pharmacology top 5%
- Apelin-related biomedical research
Papers in
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- S100 Proteins and Annexins 1
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- Apelin-related biomedical research 4
- Co-authors
- Hyung J. Chun (4 shared papers)Yujung Kang (4 shared papers)Suzy Comhair (2 shared papers)Serpil C. Erzurum (2 shared papers)Xiaoyue Hu (2 shared papers)Jongmin Kim (2 shared papers)Micheala A. Aldred (1 shared paper)Janet K. Lighthouse (1 shared paper)
- Journals
- Canadian Journal of Physiology and Pharmacology (2 papers)Nature Medicine (1 paper)Circulation (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Shock (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Danielle L. McLean
12 papers receiving 771 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 171
- Pharmacology 165
- Pulmonary and Respiratory Medicine 256
- Cellular and Molecular Neuroscience 111
- Cardiology and Cardiovascular Medicine 117
Countries citing papers authored by Danielle L. McLean
This map shows the geographic impact of Danielle L. McLean'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 L. McLean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle L. McLean more than expected).
Fields of papers citing papers by Danielle L. McLean
This network shows the impact of papers produced by Danielle L. McLean. 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 L. McLean. The network helps show where Danielle L. McLean may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle L. McLean, 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 | 2012 | 292 | |
| 2 | 2013 | 129 | |
| 3 | 2014 | 95 | |
| 4 | 2010 | 68 | |
| 5 | 2010 | 58 | |
| 6 | 2014 | 32 | |
| 7 | 2012 | 29 | |
| 8 | 2012 | 26 | |
| 9 | 1999 | 16 | |
| 10 | 2012 | 12 | |
| 11 | 2013 | 11 | |
| 12 | 2014 | 10 |
About Danielle L. McLean
Danielle L. McLean is a scholar working on Molecular Biology, Pharmacology, Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 778 indexed citations. Recurring topics across this work include Apelin-related biomedical research (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Cardiovascular Effects of Exercise (1 paper), NF-κB Signaling Pathways (1 paper), S100 Proteins and Annexins (1 paper) and Wound Healing and Treatments (1 paper). The work is most often cited by research in Cancer Research (171 citations), Pharmacology (165 citations), Pulmonary and Respiratory Medicine (256 citations), Cellular and Molecular Neuroscience (111 citations) and Cardiology and Cardiovascular Medicine (117 citations). Danielle L. McLean has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Hyung J. Chun, Yujung Kang, Suzy Comhair, Serpil C. Erzurum, Xiaoyue Hu, Jongmin Kim, Micheala A. Aldred, Janet K. Lighthouse, Daniel M. Greif and Yoko Kojima. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Nature Medicine, Circulation, Arteriosclerosis Thrombosis and Vascular Biology and Shock.
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.