Will Hanley
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 32
- Rheumatology top 5%
- Folate and B Vitamins Research 10
- Physiology top 5%
- Diet and metabolism studies 17
- Biochemistry top 5%
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- Neonatal Health and Biochemistry 5
- Birth, Development, and Health 3
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- Mitochondrial Function and Pathology 9
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- Congenital Heart Disease Studies 4
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- Islamic Studies and History 3
- Co-authors
- Victor A. McKusickWilliam S. DavidsonBobbye RouseDavid A. WiseDavid E. KaplanReuben MatalonRichard KochHarvey L. Levy
- Journals
- Journal of Inherited Metabolic Disease (6 papers)European Journal of Pediatrics (6 papers)Molecular Genetics and Metabolism (3 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Will Hanley
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Clinical Biochemistry 635
- Rheumatology 258
- Physiology 389
- Biochemistry 99
- Pediatrics, Perinatology and Child Health 217
Countries citing papers authored by Will Hanley
This map shows the geographic impact of Will Hanley'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 Will Hanley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Hanley more than expected).
Fields of papers citing papers by Will Hanley
This network shows the impact of papers produced by Will Hanley. 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 Will Hanley. The network helps show where Will Hanley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Will Hanley, 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 | 2017 | 19 | |
| 2 | 2011 | 18 | |
| 3 | 2007 | 4 | |
| 4 | 2004 | 73 | |
| 5 | 2000 | 39 | |
| 6 | 1998 | 17 | |
| 7 | 1998 | 30 | |
| 8 | 1996 | 15 | |
| 9 | 1996 | 13 | |
| 10 | 1996 | 13 | |
| 11 | 1996 | 10 | |
| 12 | 1994 | 5 | |
| 13 | The North American collaborative study of maternal phenylketonuria (PKU) | 1993 | 19 |
| 14 | 1993 | 19 | |
| 15 | 1990 | 35 | |
| 16 | 1987 | 44 | |
| 17 | 1984 | 37 | |
| 18 | The newborn phenylketonuria screening program in Ontario. | 1969 | 3 |
| 19 | 1968 | 59 | |
| 20 | NEONATAL RESPIRATORY DISTRESS: EXPERIENCE AT THE HOSPITAL FOR SICK CHILDREN, TORONTO, L960-1961. | 1963 | 11 |
About Will Hanley
Will Hanley is a scholar working on Clinical Biochemistry, Rheumatology and Pediatrics, Perinatology and Child Health, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (32 papers), Diet and metabolism studies (17 papers), Folate and B Vitamins Research (10 papers), Mitochondrial Function and Pathology (9 papers), Neonatal Health and Biochemistry (5 papers), Congenital Heart Disease Studies (4 papers), Birth, Development, and Health (3 papers) and Islamic Studies and History (3 papers). The work is most often cited by research in Clinical Biochemistry (635 citations), Rheumatology (258 citations) and Physiology (389 citations). Will Hanley has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Victor A. McKusick, William S. Davidson, Bobbye Rouse, David A. Wise, David E. Kaplan, Reuben Matalon, Richard Koch, Harvey L. Levy, C. Azen and Eva Friedman. Their work appears in journals such as Journal of Inherited Metabolic Disease, European Journal of Pediatrics, Molecular Genetics and Metabolism, The Journal of Urology and The Journal of Pediatrics.
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.