William G. Dilley
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- Thyroid Cancer Diagnosis and Treatment 10
- Pituitary Gland Disorders and Treatments 4
- Nephrology top 5%
- Parathyroid Disorders and Treatments 7
- Epidemiology top 5%
- Neuroendocrine Tumor Research Advances 13
- Oncology top 5%
- Cancer-related Molecular Pathways 5
- Lung Cancer Research Studies 4
- Neurology top 5%
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- Radiopharmaceutical Chemistry and Applications 6
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- Metabolism, Diabetes, and Cancer 5
- Co-authors
- Samuel A. WellsMary K. DeBenedettiJeffrey F. MoleyGeorge S. LeightJohn R. FarndonDarrow E. HaagensenHelen Donis-KellerL E Tisell
- Journals
- Science (1 paper)New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- 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
- Nephrology 208
- Epidemiology 810
- Oncology 636
- Neurology 300
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
The 25 scholars most cited alongside William G. Dilley, 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 | 2005 | 46 | |
| 2 | 2005 | 225 | |
| 3 | 2004 | 69 | |
| 4 | 1999 | 61 | |
| 5 | 1997 | 81 | |
| 6 | 1996 | 66 | |
| 7 | 1994 | 303 | |
| 8 | Reoperation for recurrent or persistent medullary thyroid cancer. | 1993 | 84 |
| 9 | 1992 | 50 | |
| 10 | 1991 | 7 | |
| 11 | 1991 | 18 | |
| 12 | 1991 | 82 | |
| 13 | 1990 | 66 | |
| 14 | 1988 | 4 | |
| 15 | 1988 | 4 | |
| 16 | 1985 | 23 | |
| 17 | 1983 | 1 | |
| 18 | Insulin release from human and hamster insulinomas stimulated by rapid calcium infusion | 1981 | 1 |
| 19 | 1980 | 131 | |
| 20 | 1971 | 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), Parathyroid Disorders and Treatments (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Cancer-related Molecular Pathways (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Lung Cancer Research Studies (4 papers) and Pituitary Gland Disorders and Treatments (4 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.