Steven E. Hanson

446 citations
13 papers · 333 · h-index 9

Impact in

    • Diabetes Management and Research
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Diabetes Treatment and Management
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients
    • Hemoglobinopathies and Related Disorders

Papers in

    • Hemoglobinopathies and Related Disorders 5
    • Diabetes and associated disorders 1
    • Iron Metabolism and Disorders 2
    • Blood groups and transfusion 2

Steven E. Hanson

12 papers receiving 318 citations

Peers

Steven E. Hanson
Comparison fields: 5 of 39
  • Endocrinology, Diabetes and Metabolism 156
  • Genetics 71
  • Clinical Biochemistry 16
  • Hematology 23
  • Nephrology 10
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Citations per year

Countries citing papers authored by Steven E. Hanson

Since Specialization
Citations

This map shows the geographic impact of Steven E. 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 E. 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 E. Hanson more than expected).

Fields of papers citing papers by Steven E. Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. 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 E. Hanson. The network helps show where Steven E. Hanson may publish in the future.

Co-authors

The 25 scholars most cited alongside Steven E. Hanson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven E. Hanson Line = papers co-authored together Steven E. Hanson links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200875
2 201358
3 201558
4 201640
5 201222
6 202122
7 201121
8 20179
9 20159
10 20169
11 20127
12 20253
13 20250

About Steven E. Hanson

Steven E. Hanson is a scholar working on Genetics, Hematology, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 333 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (5 papers), Iron Metabolism and Disorders (2 papers), Neonatal Health and Biochemistry (2 papers), Blood groups and transfusion (2 papers), Diabetes Management and Research (1 paper), Diabetes and associated disorders (1 paper), Cardiovascular Function and Risk Factors (1 paper) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (156 citations), Genetics (71 citations), Clinical Biochemistry (16 citations), Hematology (23 citations) and Nephrology (10 citations). Steven E. Hanson has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Randie R. Little, Curt L. Rohlfing, Shawn M. Connolly, Robert L. Schmidt, Trefor Higgins, Sonia L. La’ulu, Alethea L. Tennill, Cas W. Weykamp, Jack D. England and William L. Roberts. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry, JAMA 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.

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