Patrick McKay
Impact in
- Ophthalmology top 2%
- Retinal Diseases and Treatments
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- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Protein purification and stability 3
- Glycosylation and Glycoproteins Research 2
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Bing Li (1 shared paper)Germaine Fuh (1 shared paper)Hans W. Christinger (1 shared paper)Henry B. Lowman (1 shared paper)Abraham M. de Vos (1 shared paper)Yvonne Chen (1 shared paper)Christian Wiesmann (1 shared paper)Steven A. Spencer (2 shared papers)
- Journals
- Endocrinology (2 papers)Microbial Cell Factories (1 paper)mAbs (1 paper)Biologicals (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Patrick McKay
11 papers receiving 766 citations
Peers
Comparison fields: 5 of 74
- Ophthalmology 160
- Endocrinology, Diabetes and Metabolism 203
- Radiology, Nuclear Medicine and Imaging 251
- Molecular Biology 424
- Clinical Biochemistry 37
Countries citing papers authored by Patrick McKay
This map shows the geographic impact of Patrick McKay'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 Patrick McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick McKay more than expected).
Fields of papers citing papers by Patrick McKay
This network shows the impact of papers produced by Patrick McKay. 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 Patrick McKay. The network helps show where Patrick McKay may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick McKay, 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 | 1999 | 370 | |
| 2 | 1990 | 126 | |
| 3 | 2008 | 81 | |
| 4 | 1989 | 67 | |
| 5 | 1996 | 56 | |
| 6 | 1990 | 27 | |
| 7 | 1996 | 26 | |
| 8 | 2014 | 24 | |
| 9 | 1985 | 23 | |
| 10 | 2016 | 22 | |
| 11 | 2006 | 2 |
About Patrick McKay
Patrick McKay is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Cancer Research and Oncology, having authored 11 papers that have together received 824 indexed citations. Recurring topics across this work include Protein purification and stability (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Glycosylation and Glycoproteins Research (2 papers), Advanced Glycation End Products research (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Ophthalmology (160 citations), Endocrinology, Diabetes and Metabolism (203 citations), Radiology, Nuclear Medicine and Imaging (251 citations), Molecular Biology (424 citations) and Clinical Biochemistry (37 citations). Patrick McKay has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Bing Li, Germaine Fuh, Hans W. Christinger, Henry B. Lowman, Abraham M. de Vos, Yvonne Chen, Christian Wiesmann, Steven A. Spencer, Michael J. Waters and William I. Wood. Their work appears in journals such as Endocrinology, Microbial Cell Factories, mAbs, Biologicals and Analytical Chemistry.
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.