LEE McCARTHY
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
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- Cell Adhesion Molecules Research
Papers in
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- Glycosylation and Glycoproteins Research 2
- Ion channel regulation and function 2
- S100 Proteins and Annexins 2
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- Adipose Tissue and Metabolism 5
- Adenosine and Purinergic Signaling 2
- Co-authors
- Richard J. Schimmel (7 shared papers)Brian Burchell (3 shared papers)Samuel H. Wilson (1 shared paper)Michael W.H. Coughtrie (1 shared paper)Michael R. Jackson (1 shared paper)David Harding (1 shared paper)Kathryn K. McMahon (2 shared papers)V Graves (2 shared papers)
- Journals
- American Journal of Physiology-Cell Physiology (4 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Blood (2 papers)Biochemical Journal (1 paper)Gene (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
LEE McCARTHY
12 papers receiving 347 citations
Peers
Comparison fields: 5 of 64
- Pharmacology 74
- Immunology and Allergy 35
- Physiology 107
- Clinical Biochemistry 23
- Cell Biology 50
Countries citing papers authored by LEE McCARTHY
This map shows the geographic impact of LEE McCARTHY'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 LEE McCARTHY with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LEE McCARTHY more than expected).
Fields of papers citing papers by LEE McCARTHY
This network shows the impact of papers produced by LEE McCARTHY. 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 LEE McCARTHY. The network helps show where LEE McCARTHY may publish in the future.
Co-authors
The 16 scholars most cited alongside LEE McCARTHY, 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 | 1987 | 102 | |
| 2 | 1992 | 53 | |
| 3 | 1983 | 45 | |
| 4 | 1992 | 37 | |
| 5 | 1984 | 35 | |
| 6 | 1984 | 28 | |
| 7 | 1985 | 23 | |
| 8 | 1985 | 14 | |
| 9 | 1986 | 8 | |
| 10 | 1987 | 6 | |
| 11 | 1985 | 4 | |
| 12 | 1985 | 4 |
About LEE McCARTHY
LEE McCARTHY is a scholar working on Molecular Biology, Physiology, Surgery, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 12 papers that have together received 359 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Glycosylation and Glycoproteins Research (2 papers), Ion channel regulation and function (2 papers), S100 Proteins and Annexins (2 papers), Adenosine and Purinergic Signaling (2 papers), Pharmacological Effects and Assays (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Pharmacology (74 citations), Immunology and Allergy (35 citations), Physiology (107 citations), Clinical Biochemistry (23 citations) and Cell Biology (50 citations). LEE McCARTHY has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Richard J. Schimmel, Brian Burchell, Samuel H. Wilson, Michael W.H. Coughtrie, Michael R. Jackson, David Harding, Kathryn K. McMahon, V Graves, T G Gabig and T Leemhuis. Their work appears in journals such as American Journal of Physiology-Cell Physiology, American Journal of Physiology-Endocrinology and Metabolism, Blood, Biochemical Journal and Gene.
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.