William G. Dilley
- Endocrinology, Diabetes and Metabolism top 1%
- Epidemiology top 5%
- Oncology top 5%
- Surgery top 5%
- Genetics top 5%
- Co-authors
- Samuel A. WellsMary K. DeBenedettiJeffrey F. MoleyGeorge S. LeightJohn R. FarndonDarrow E. HaagensenHelen Donis-KellerL E Tisell
- Topics
- Neuroendocrine Tumor Research Advances (13 papers)Thyroid Cancer Diagnosis and Treatment (10 papers)Parathyroid Disorders and Treatments (7 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
William G. Dilley
39 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 1.1k
- Epidemiology 810
- Oncology 636
- Surgery 544
- Genetics 521
Countries citing papers authored by William G. Dilley
This map shows the geographic impact of William G. Dilley'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 William G. Dilley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Dilley more than expected).
Fields of papers citing papers by William G. Dilley
This network shows the impact of papers produced by William G. Dilley. 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 William G. Dilley. The network helps show where William G. Dilley may publish in the future.
Co-authorship network of co-authors of William G. Dilley
This figure shows the co-authorship network connecting the top 25 collaborators of William G. Dilley. A scholar is included among the top collaborators of William G. Dilley 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 William G. Dilley. William G. Dilley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 225 | |
| 3 | 69 | |
| 4 | 61 | |
| 5 | 81 | |
| 6 | 66 | |
| 7 | 303 | |
| 8 | Reoperation for recurrent or persistent medullary thyroid cancer. | 84 |
| 9 | 50 | |
| 10 | 7 | |
| 11 | 18 | |
| 12 | 82 | |
| 13 | 66 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 23 | |
| 17 | 1 | |
| 18 | Insulin release from human and hamster insulinomas stimulated by rapid calcium infusion | 1 |
| 19 | 131 | |
| 20 | 19 |
About William G. Dilley
William G. Dilley is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (13 papers), Thyroid Cancer Diagnosis and Treatment (10 papers) and Parathyroid Disorders and Treatments (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Nephrology (208 citations) and Epidemiology (810 citations). William G. Dilley has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Samuel A. Wells, Mary K. DeBenedetti, Jeffrey F. Moley, George S. Leight, John R. Farndon, Darrow E. Haagensen, Helen Donis-Keller, L E Tisell, Stephen B. Baylin and Janet K. Dale. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.