Steve Johnson

4.7k total citations · 1 hit paper
152 papers, 2.7k citations indexed

About

Steve Johnson is a scholar working on Genetics, Education and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Steve Johnson has authored 152 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 16 papers in Education and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Steve Johnson's work include Evolution and Genetic Dynamics (11 papers), Genetic diversity and population structure (10 papers) and Entrepreneurship Studies and Influences (9 papers). Steve Johnson is often cited by papers focused on Evolution and Genetic Dynamics (11 papers), Genetic diversity and population structure (10 papers) and Entrepreneurship Studies and Influences (9 papers). Steve Johnson collaborates with scholars based in United States, United Kingdom and Australia. Steve Johnson's co-authors include Lynda F. Delph, David Storey, Curtis M. Lively, David Devins, Michael D. Levitt, Bonnie L. Westra, Don J. Webber, Stuart M. Speedie, György Simon and Terry Hyland and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Steve Johnson

137 papers receiving 2.5k citations

Hit Papers

A Harmonized Data Quality Assessment Terminology and Fram... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Johnson United States 31 298 276 264 261 239 152 2.7k
Richard Smith United Kingdom 38 191 0.6× 157 0.6× 147 0.6× 139 0.5× 480 2.0× 250 5.7k
Declan Butler United States 34 61 0.2× 248 0.9× 31 0.1× 899 3.4× 235 1.0× 682 5.8k
Steve Thompson United Kingdom 37 655 2.2× 371 1.3× 16 0.1× 92 0.4× 1.1k 4.4× 204 5.7k
Richard Carter United Kingdom 56 204 0.7× 480 1.7× 20 0.1× 718 2.8× 654 2.7× 288 12.2k
Steven Kerr United States 27 112 0.4× 83 0.3× 16 0.1× 82 0.3× 120 0.5× 68 4.0k
Ewen Callaway Denmark 40 91 0.3× 504 1.8× 21 0.1× 261 1.0× 212 0.9× 449 6.4k
John Eric Humphries United States 25 34 0.1× 143 0.5× 25 0.1× 122 0.5× 332 1.4× 120 2.6k
Daniele Fanelli United Kingdom 24 152 0.5× 173 0.6× 10 0.0× 84 0.3× 302 1.3× 46 5.7k
Damon Centola United States 26 59 0.2× 92 0.3× 13 0.0× 127 0.5× 343 1.4× 42 6.1k
William B. Bean United States 31 33 0.1× 260 0.9× 30 0.1× 385 1.5× 210 0.9× 368 5.9k

Countries citing papers authored by Steve Johnson

Since Specialization
Citations

This map shows the geographic impact of Steve Johnson'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 Steve Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Johnson more than expected).

Fields of papers citing papers by Steve Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Johnson. 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 Steve Johnson. The network helps show where Steve Johnson may publish in the future.

Co-authorship network of co-authors of Steve Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Johnson. A scholar is included among the top collaborators of Steve Johnson 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 Steve Johnson. Steve Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jones, Kevin, Kathryn R. Cullen, Meredith Gunlicks‐Stoessel, et al.. (2025). Real‐World Characterization of Psychiatric Pharmacogenomic Test Ordering and Clinical Relevance in Adults and Children. Clinical and Translational Science. 18(10). e70297–e70297.
2.
Tignanelli, Christopher J., et al.. (2024). Promoting Learning Health System Cycles by Optimizing EHR Data Clinical Concept Encoding Processes. Studies in health technology and informatics. 310. 68–73.
3.
Johnson, Steve, Til Stürmer‎, Jared D. Huling, et al.. (2024). Prevalent Metformin Use in Adults With Diabetes and the Incidence of Long COVID: An EHR-Based Cohort Study From the RECOVER Program. Diabetes Care. 47(11). 1930–1940. 4 indexed citations
4.
Reddy, Neha V, Hsin‐Chieh Yeh, Jena Shaw Tronieri, et al.. (2023). Are fewer cases of diabetes mellitus diagnosed in the months after SARS-CoV-2 infection? A population-level view in the EHR-based RECOVER program. Journal of Clinical and Translational Science. 7(1). e90–e90. 2 indexed citations
6.
Bramante, Carolyn T., Steve Johnson, Víctor García, et al.. (2022). Diabetes medications and associations with Covid-19 outcomes in the N3C database: A national retrospective cohort study. PLoS ONE. 17(11). e0271574–e0271574. 5 indexed citations
7.
Johnson, Steve, et al.. (2020). Successful use of generic direct acting antiviral medications to treat hepatitis C-a New Zealand-wide study.. PubMed. 133(1525). 53–61.
8.
Johnson, Steve, et al.. (2020). Exploring emotions in international student engagement and learning. 14(2). 57–68.
9.
Pruinelli, Lisiane, et al.. (2020). An Applied Healthcare Data Science Roadmap for Nursing Leaders. CIN Computers Informatics Nursing. 38(10). 484–489. 5 indexed citations
10.
Johnson, Steve, et al.. (2018). Identifying barriers to treatment of HCV in the primary care setting. Hepatology International. 13(1). 58–65. 15 indexed citations
11.
Johnson, Steve, Stuart M. Speedie, György Simon, Vipin Kumar, & Bonnie L. Westra. (2017). Quantifying the Effect of Data Quality on the Validity of an eMeasure. Applied Clinical Informatics. 8(4). 1012–1021. 15 indexed citations
12.
Speedie, Stuart M., György Simon, Vipin Kumar, Bonnie L. Westra, & Steve Johnson. (2016). Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data. Applied Clinical Informatics. 7(1). 69–88. 49 indexed citations
13.
Johnson, Steve. (2014). Deleuze's philosophy of difference and its implications for ALL practice. 8(1). 3 indexed citations
14.
Johnson, Steve. (2014). Needle in the Bookstack: Web Solutions for Finding Out-of-Print Titles. Library Acquisitions Practice & Theory.
15.
Coghill, Lyndon M., et al.. (2012). Field heritabilities and lack of correlation of snail shell form and anti-predator function estimated using Bayesian and maximum likelihood methods. Evolutionary ecology research. 14(6). 743–755. 4 indexed citations
16.
Heil, Gary L., et al.. (2006). The art & science of pitching : the most current health and performance update from medical science, exercise science, coaching science. 1 indexed citations
17.
Ogden, Jane, et al.. (2002). Doctors expressions of uncertainty and patient confidence. Patient Education and Counseling. 48(2). 171–176. 92 indexed citations
18.
Johnson, Steve. (2000). POPULATION STRUCTURE, PARASITISM, AND SURVIVORSHIP OF SEXUAL AND AUTODIPLOID PARTHENOGENETICCAMPELOMA LIMUM. Evolution. 54(1). 167–175. 18 indexed citations
19.
Williams, Joseph K., et al.. (1992). Anin vitro study on the effect of UVA radiation on human gingival fibroblasts. British Journal of Plastic Surgery. 45(5). 349–353. 4 indexed citations
20.
Johnson, Steve, et al.. (1991). Exposure to hepatitis B virus among South African health care workers--implications for pre-immunisation screening.. PubMed. 79(1). 27–9. 5 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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