Gary Queen
Impact in
- Immunology top 10%
- Toxin Mechanisms and Immunotoxins
- Mast cells and histamine
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Receptor Mechanisms and Signaling 3
- Biochemistry 11
- Amino Acid Enzymes and Metabolism 6
- Eicosanoids and Hypertension Pharmacology 5
- Co-authors
- Frank S. LaBella (25 shared papers)Ira Pastan (1 shared paper)David J. FitzGerald (1 shared paper)Thomas A. Waldmann (1 shared paper)Vijay K. Chaudhary (1 shared paper)Richard P. Junghans (1 shared paper)Stanley Vivian (5 shared papers)Lorne J. Brandes (7 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Canadian Journal of Physiology and Pharmacology (4 papers)Journal of Cellular Biochemistry (4 papers)Nature (3 papers)Endocrinology (3 papers)
- Partner nations
- CanadaUnited StatesUkraine
In The Last Decade
Gary Queen
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Immunology 364
- Biotechnology 130
- Radiology, Nuclear Medicine and Imaging 255
- Cellular and Molecular Neuroscience 155
- Endocrine and Autonomic Systems 52
Countries citing papers authored by Gary Queen
This map shows the geographic impact of Gary Queen'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 Gary Queen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Queen more than expected).
Fields of papers citing papers by Gary Queen
This network shows the impact of papers produced by Gary Queen. 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 Gary Queen. The network helps show where Gary Queen may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary Queen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 345 | |
| 2 | 1986 | 103 | |
| 3 | 1973 | 80 | |
| 4 | 1968 | 78 | |
| 5 | 1992 | 51 | |
| 6 | 1977 | 41 | |
| 7 | 1994 | 40 | |
| 8 | 1973 | 34 | |
| 9 | 1976 | 30 | |
| 10 | 1990 | 30 | |
| 11 | 2000 | 29 | |
| 12 | 1998 | 27 | |
| 13 | 1969 | 24 | |
| 14 | 1968 | 24 | |
| 15 | 1993 | 21 | |
| 16 | 1975 | 18 | |
| 17 | 1979 | 17 | |
| 18 | 1976 | 14 | |
| 19 | 1971 | 14 | |
| 20 | 1999 | 13 |
About Gary Queen
Gary Queen is a scholar working on Molecular Biology, Biochemistry, Pharmacology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Amino Acid Enzymes and Metabolism (6 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Mast cells and histamine (5 papers), Hypothalamic control of reproductive hormones (4 papers), Neuropeptides and Animal Physiology (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Immunology (364 citations), Biotechnology (130 citations), Radiology, Nuclear Medicine and Imaging (255 citations), Cellular and Molecular Neuroscience (155 citations) and Endocrine and Autonomic Systems (52 citations). Gary Queen has collaborated with scholars based in Canada, United States and Ukraine. Frequent co-authors include Frank S. LaBella, Ira Pastan, David J. FitzGerald, Thomas A. Waldmann, Vijay K. Chaudhary, Richard P. Junghans, Stanley Vivian, Lorne J. Brandes, Lě Thi Bich‐Thuy and J. Victor Garcia. Their work appears in journals such as Biochemical and Biophysical Research Communications, Canadian Journal of Physiology and Pharmacology, Journal of Cellular Biochemistry, Nature and Endocrinology.
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.