Dan Hanson
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Connective tissue disorders research
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
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- Growth Hormone and Insulin-like Growth Factors
Papers in
- Genetics 5
- Genomics and Rare Diseases 5
- Genetics and Neurodevelopmental Disorders 2
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- Growth Hormone and Insulin-like Growth Factors 3
- Co-authors
- Peter Clayton (6 shared papers)Philip George Murray (5 shared papers)Graeme Charles M. Black (5 shared papers)Jill E. Urquhart (2 shared papers)Gudrun E. Moore (1 shared paper)Lucia Magee (1 shared paper)Sayeda Nasreen Abu-Amero (1 shared paper)Amit Sud (1 shared paper)
- Journals
- The American Journal of Human Genetics (2 papers)Clinical Endocrinology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Hormone Research in Paediatrics (1 paper)Journal of Molecular Endocrinology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Dan Hanson
6 papers receiving 352 citations
Peers
Comparison fields: 5 of 40
- Genetics 182
- Endocrinology, Diabetes and Metabolism 80
- Developmental Biology 6
- Virology 7
- Molecular Biology 92
Countries citing papers authored by Dan Hanson
This map shows the geographic impact of Dan Hanson'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 Dan Hanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Hanson more than expected).
Fields of papers citing papers by Dan Hanson
This network shows the impact of papers produced by Dan Hanson. 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 Dan Hanson. The network helps show where Dan Hanson may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Hanson, 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 | 2011 | 95 | |
| 2 | 2009 | 85 | |
| 3 | 2012 | 65 | |
| 4 | 2015 | 57 | |
| 5 | 2011 | 35 | |
| 6 | 2014 | 27 |
About Dan Hanson
Dan Hanson is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Developmental Biology, Molecular Biology and Nuclear Energy and Engineering, having authored 6 papers that have together received 364 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Ubiquitin and proteasome pathways (1 paper), Congenital limb and hand anomalies (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (182 citations), Endocrinology, Diabetes and Metabolism (80 citations), Developmental Biology (6 citations), Virology (7 citations) and Molecular Biology (92 citations). Dan Hanson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Peter Clayton, Philip George Murray, Graeme Charles M. Black, Jill E. Urquhart, Gudrun E. Moore, Lucia Magee, Sayeda Nasreen Abu-Amero, Amit Sud, Samia Ali Temtamy and Peter James Scambler. Their work appears in journals such as The American Journal of Human Genetics, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Hormone Research in Paediatrics and Journal of Molecular Endocrinology.
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.