Gary Queen
- Molecular Biology
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cellular and Molecular Neuroscience top 10%
- Biotechnology top 5%
- Co-authors
- Frank S. LaBellaRichard P. JunghansDavid J. FitzGeraldIra PastanVijay K. ChaudharyThomas A. WaldmannStanley VivianLorne J. Brandes
- Topics
- Pharmacogenetics and Drug Metabolism (11 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)Amino Acid Enzymes and Metabolism (6 papers)
- Journals
- NatureJNCI Journal of the National Cancer InstituteBiochemical and Biophysical Research Communications
- Partner nations
- CanadaUnited StatesUkraine
In The Last Decade
Gary Queen
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 502
- Immunology 372
- Radiology, Nuclear Medicine and Imaging 262
- Cellular and Molecular Neuroscience 157
- Biotechnology 137
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-authorship network of co-authors of Gary Queen
This figure shows the co-authorship network connecting the top 25 collaborators of Gary Queen. A scholar is included among the top collaborators of Gary Queen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gary Queen. Gary Queen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 29 | |
| 3 | 11 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 27 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 40 | |
| 10 | 21 | |
| 11 | 51 | |
| 12 | 30 | |
| 13 | 13 | |
| 14 | 345 | |
| 15 | 103 | |
| 16 | 30 | |
| 17 | 14 | |
| 18 | 18 | |
| 19 | 6 | |
| 20 | 24 |
About Gary Queen
Gary Queen is a scholar working on Biochemistry, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (11 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Amino Acid Enzymes and Metabolism (6 papers). The work is most often cited by research in Immunology (372 citations), Biotechnology (137 citations) and Radiology, Nuclear Medicine and Imaging (262 citations). Gary Queen has collaborated with scholars based in Canada, United States and Ukraine. Frequent co-authors include Frank S. LaBella, Richard P. Junghans, David J. FitzGerald, Ira Pastan, Vijay K. Chaudhary, Thomas A. Waldmann, Stanley Vivian, Lorne J. Brandes, J. Victor Garcia and Lě Thi Bich‐Thuy. Their work appears in journals such as Nature, JNCI Journal of the National Cancer Institute and Biochemical and Biophysical Research Communications.
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.