Steven Hanson
Impact in
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- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
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- Hemoglobinopathies and Related Disorders
Papers in
- Genetics 1
- Hemoglobinopathies and Related Disorders 1
- Diabetes and associated disorders 1
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- Cardiovascular Function and Risk Factors 1
- Co-authors
- Randie R. Little (9 shared papers)Curt L. Rohlfing (8 shared papers)Shawn Connolly (3 shared papers)Sonia L. La’ulu (1 shared paper)Robert L. Schmidt (1 shared paper)J D England (1 shared paper)Trefor Higgins (2 shared papers)Cas Weykamp (2 shared papers)
- Journals
- Clinica Chimica Acta (4 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (2 papers)American Journal of Clinical Pathology (1 paper)Diabetes Technology & Therapeutics (1 paper)Journal of Diabetes Science and Technology (1 paper)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Steven Hanson
8 papers receiving 239 citations
Peers
Comparison fields: 5 of 32
- Endocrinology, Diabetes and Metabolism 122
- Genetics 52
- Clinical Biochemistry 11
- Hematology 15
- Cardiology and Cardiovascular Medicine 19
Countries citing papers authored by Steven Hanson
This map shows the geographic impact of Steven 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 Steven Hanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Hanson more than expected).
Fields of papers citing papers by Steven Hanson
This network shows the impact of papers produced by Steven 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 Steven Hanson. The network helps show where Steven Hanson may publish in the future.
Co-authors
The 22 scholars most cited alongside Steven 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 | 2008 | 72 | |
| 2 | 2015 | 52 | |
| 3 | 2013 | 48 | |
| 4 | 2016 | 33 | |
| 5 | 2021 | 20 | |
| 6 | 2011 | 15 | |
| 7 | 2015 | 8 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 0 |
About Steven Hanson
Steven Hanson is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Genetics and Infectious Diseases, having authored 9 papers that have together received 250 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (1 paper), Diabetes Management and Research (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Cardiovascular Function and Risk Factors (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (122 citations), Genetics (52 citations), Clinical Biochemistry (11 citations), Hematology (15 citations) and Cardiology and Cardiovascular Medicine (19 citations). Steven Hanson has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Randie R. Little, Curt L. Rohlfing, Shawn Connolly, Sonia L. La’ulu, Robert L. Schmidt, J D England, Trefor Higgins, Cas Weykamp, Alethea L. Tennill and Charles E. Wiedmeyer. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM), American Journal of Clinical Pathology, Diabetes Technology & Therapeutics and Journal of Diabetes Science and Technology.
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.