Arthur R. Buckley
- Molecular Biology top 10%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Immunology top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Donna J. BuckleyPeter W. GoutDiane H. RussellCharles W. PutnamDavid W. MontgomeryDiane Haddock RussellSrikanth C. NallaniPankaj B. Desai
- Topics
- Growth Hormone and Insulin-like Growth Factors (12 papers)Protein Kinase Regulation and GTPase Signaling (9 papers)Peptidase Inhibition and Analysis (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Immunology
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Arthur R. Buckley
76 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.2k
- Oncology 767
- Endocrinology, Diabetes and Metabolism 581
- Immunology 364
- Pathology and Forensic Medicine 334
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 of co-authors of Arthur R. Buckley
This figure shows the co-authorship network connecting the top 25 collaborators of Arthur R. Buckley. A scholar is included among the top collaborators of Arthur R. Buckley 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 Arthur R. Buckley. Arthur R. Buckley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 116 | |
| 2 | 65 | |
| 3 | 92 | |
| 4 | Prolactin signaling in Nb2-11 T-lymphoma cells: A role for HRPAP20 | 1 |
| 5 | 40 | |
| 6 | 41 | |
| 7 | 57 | |
| 8 | 106 | |
| 9 | 8 | |
| 10 | 18 | |
| 11 | 30 | |
| 12 | 55 | |
| 13 | 14 | |
| 14 | 9 | |
| 15 | 39 | |
| 16 | 37 | |
| 17 | 19 | |
| 18 | 18 | |
| 19 | 17 | |
| 20 | 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) and Peptidase Inhibition and Analysis (9 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.