Steven Hanson

420 total citations
8 papers, 245 citations indexed

About

Steven Hanson is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Steven Hanson has authored 8 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Steven Hanson's work include Diabetes Management and Research (4 papers), Hemoglobinopathies and Related Disorders (2 papers) and Cardiovascular Function and Risk Factors (2 papers). Steven Hanson is often cited by papers focused on Diabetes Management and Research (4 papers), Hemoglobinopathies and Related Disorders (2 papers) and Cardiovascular Function and Risk Factors (2 papers). Steven Hanson collaborates with scholars based in United States and Canada. Steven Hanson's co-authors include Randie R. Little, Curt L. Rohlfing, Shawn Connolly, Robert L. Schmidt, J D England, Sonia L. La’ulu, Trefor Higgins, Cas Weykamp, Alethea L. Tennill and Richard Krause and has published in prestigious journals such as Clinica Chimica Acta, American Journal of Clinical Pathology and Clinical Chemistry and Laboratory Medicine (CCLM).

In The Last Decade

Steven Hanson

8 papers receiving 230 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Steven Hanson United States	7	183	72	59	34	34	8	245
Steve Hanson United States	3	127 0.7×	41 0.6×	46 0.8×	22 0.6×	18 0.5×	3	175
Navaratnam Kotea Mauritius	8	26 0.1×	68 0.9×	15 0.3×	6 0.2×	59 1.7×	9	165
Taiji Sekigami Japan	10	118 0.6×	4 0.1×	24 0.4×	74 2.2×	9 0.3×	15	195
Z. Turki Tunisia	7	53 0.3×	13 0.2×	21 0.4×	17 0.5×	9 0.3×	22	122
André Greenidge Barbados	5	14 0.1×	41 0.6×	39 0.7×	14 0.4×	26 0.8×	6	157
Derek Sinchar United States	8	24 0.1×	87 1.2×	36 0.6×	8 0.2×	119 3.5×	13	299
Angélica Moresco Argentina	9	12 0.1×	21 0.3×	68 1.2×	31 0.9×	4 0.1×	16	158
Peipei Kang China	6	22 0.1×	11 0.2×	16 0.3×	10 0.3×	20 0.6×	10	106
Sylvia C. Estrada Philippines	7	118 0.6×	6 0.1×	55 0.9×	59 1.7×	3 0.1×	14	275
Elena Nazzari Italy	8	118 0.6×	15 0.2×	18 0.3×	31 0.9×	3 0.1×	12	154

Countries citing papers authored by Steven Hanson

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Steven Hanson

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Hanson. A scholar is included among the top collaborators of Steven Hanson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven Hanson. Steven Hanson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Rohlfing, Curt L., Gregory F. Petroski, Shawn Connolly, et al.. (2025). A comparative analysis of current С-peptide assays compared to a reference method: can we overcome inertia to standardization?. Clinical Chemistry and Laboratory Medicine (CCLM). 63(6). 1124–1131. 1 indexed citations

2.

Rohlfing, Curt L., et al.. (2021). Evaluation of interference from hemoglobin C, D, E and S traits on measurements of hemoglobin A1c by fifteen methods. Clinica Chimica Acta. 522. 31–35. 20 indexed citations

3.

Rohlfing, Curt L., Steven Hanson, Cas Weykamp, et al.. (2016). Effects of hemoglobin C, D, E and S traits on measurements of hemoglobin A1c by twelve methods. Clinica Chimica Acta. 455. 80–83. 32 indexed citations

4.

Zhao, Zhen, et al.. (2015). Evaluation of hemoglobin A1c measurement by Capillarys 2 electrophoresis for detection of abnormal glucose tolerance in African immigrants to the United States. Clinica Chimica Acta. 446. 54–60. 8 indexed citations

5.

Little, Randie R., Sonia L. La’ulu, Steven Hanson, Curt L. Rohlfing, & Robert L. Schmidt. (2015). Effects of 49 Different Rare Hb Variants on HbA1c Measurement in Eight Methods. Journal of Diabetes Science and Technology. 9(4). 849–856. 52 indexed citations

6.

Little, Randie R., Curt L. Rohlfing, Alethea L. Tennill, et al.. (2013). Measurement of Hba1C in patients with chronic renal failure. Clinica Chimica Acta. 418. 73–76. 47 indexed citations

7.

Rohlfing, Curt L., Steven Hanson, Alethea L. Tennill, & Randie R. Little. (2011). Effects of Whole Blood Storage on Hemoglobin A1c Measurements with Five Current Assay Methods. Diabetes Technology & Therapeutics. 14(3). 271–275. 13 indexed citations

8.

Rohlfing, Curt L., et al.. (2008). The Effect of Elevated Fetal Hemoglobin on Hemoglobin A_1cResults. American Journal of Clinical Pathology. 129(5). 811–814. 72 indexed citations

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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