Arthur R. Buckley
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- Growth Hormone and Insulin-like Growth Factors 12
- Pharmacology top 2%
- Oncology top 5%
- Peptidase Inhibition and Analysis 9
- Drug Transport and Resistance Mechanisms 8
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism 7
- Cancer Research top 10%
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- Protein Kinase Regulation and GTPase Signaling 9
- Metabolism, Diabetes, and Cancer 7
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- Cancer Mechanisms and Therapy 8
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- Pancreatic function and diabetes 6
- Co-authors
- Donna J. BuckleyPeter W. GoutDiane H. RussellCharles W. PutnamDavid W. MontgomeryDiane Haddock RussellSrikanth C. NallaniPankaj B. Desai
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Arthur R. Buckley
76 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 107
- Endocrinology, Diabetes and Metabolism 581
- Pharmacology 246
- Oncology 767
- Biochemistry 157
- Cancer Research 291
Countries citing papers authored by Arthur R. Buckley
This map shows the geographic impact of Arthur R. Buckley'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 Arthur R. Buckley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur R. Buckley more than expected).
Fields of papers citing papers by Arthur R. Buckley
This network shows the impact of papers produced by Arthur R. Buckley. 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 Arthur R. Buckley. The network helps show where Arthur R. Buckley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arthur R. Buckley, 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 | 2009 | 116 | |
| 2 | 2007 | 65 | |
| 3 | 2006 | 92 | |
| 4 | Prolactin signaling in Nb2-11 T-lymphoma cells: A role for HRPAP20 | 2004 | 1 |
| 5 | 2004 | 40 | |
| 6 | 2003 | 41 | |
| 7 | 2003 | 57 | |
| 8 | 2002 | 106 | |
| 9 | 2001 | 8 | |
| 10 | 2000 | 18 | |
| 11 | 1998 | 30 | |
| 12 | 1998 | 55 | |
| 13 | 1995 | 14 | |
| 14 | 1995 | 9 | |
| 15 | 1995 | 39 | |
| 16 | 1993 | 37 | |
| 17 | 1992 | 19 | |
| 18 | 1991 | 18 | |
| 19 | 1988 | 17 | |
| 20 | 1987 | 42 |
About Arthur R. Buckley
Arthur R. Buckley is a scholar working on Biochemistry, Oncology and Endocrinology, Diabetes and Metabolism, having authored 76 papers that have together received 2.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Peptidase Inhibition and Analysis (9 papers), Cancer Mechanisms and Therapy (8 papers), Drug Transport and Resistance Mechanisms (8 papers), Amino Acid Enzymes and Metabolism (7 papers), Metabolism, Diabetes, and Cancer (7 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (581 citations), Pharmacology (246 citations) and Oncology (767 citations). Arthur R. Buckley has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Donna J. Buckley, Peter W. Gout, Diane H. Russell, Charles W. Putnam, David W. Montgomery, Diane Haddock Russell, Srikanth C. Nallani, Pankaj B. Desai, Paul D. Crowe and Nelson D. Horseman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.
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.