Cliff Olson

663 total citations · 1 hit paper
9 papers, 404 citations indexed

About

Cliff Olson is a scholar working on Oncology, Genetics and Cancer Research. According to data from OpenAlex, Cliff Olson has authored 9 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Cliff Olson's work include BRCA gene mutations in cancer (3 papers), Global Cancer Incidence and Screening (3 papers) and Breast Cancer Treatment Studies (3 papers). Cliff Olson is often cited by papers focused on BRCA gene mutations in cancer (3 papers), Global Cancer Incidence and Screening (3 papers) and Breast Cancer Treatment Studies (3 papers). Cliff Olson collaborates with scholars based in United States, South Africa and Israel. Cliff Olson's co-authors include Harold S. Luft, Ming Tai-Seale, Albert Chan, Meg Durbin, Wei Wang, Jinnan Li, Paea LePendu, Nicholas J. Leeper, Anna Bauer‐Mehren and Nigam H. Shah and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Cliff Olson

9 papers receiving 393 citations

Hit Papers

Electronic Health Record Logs Indicate That Physicians Sp... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cliff Olson United States 7 143 131 98 67 59 9 404
Levon Utidjian United States 12 102 0.7× 105 0.8× 99 1.0× 36 0.5× 29 0.5× 33 377
Anil Jain United States 5 103 0.7× 143 1.1× 92 0.9× 49 0.7× 91 1.5× 7 417
Damián Borbolla United States 12 151 1.1× 205 1.6× 76 0.8× 54 0.8× 51 0.9× 39 480
Beatriz H. Rocha United States 13 70 0.5× 241 1.8× 79 0.8× 53 0.8× 120 2.0× 22 427
Harpreet Sood United Kingdom 14 106 0.7× 86 0.7× 91 0.9× 22 0.3× 46 0.8× 27 457
Donald Levick United States 8 113 0.8× 219 1.7× 83 0.8× 46 0.7× 46 0.8× 17 442
William M. Detmer United States 9 149 1.0× 138 1.1× 61 0.6× 33 0.5× 57 1.0× 11 417
Peter Singleton United Kingdom 8 170 1.2× 234 1.8× 163 1.7× 58 0.9× 79 1.3× 15 579
Sue E Bowman Belgium 7 73 0.5× 226 1.7× 84 0.9× 33 0.5× 60 1.0× 21 381
Blaine Y. Takesue United States 9 81 0.6× 157 1.2× 145 1.5× 36 0.5× 105 1.8× 13 401

Countries citing papers authored by Cliff Olson

Since Specialization
Citations

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

Fields of papers citing papers by Cliff Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cliff Olson

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

All Works

9 of 9 papers shown
1.
Panattoni, Laura, et al.. (2018). Nudging physicians and patients with autopend clinical decision support to improve diabetes management.. PubMed. 24(10). 479–483. 7 indexed citations
2.
Tai-Seale, Ming, Cliff Olson, Jinnan Li, et al.. (2017). Electronic Health Record Logs Indicate That Physicians Split Time Evenly Between Seeing Patients And Desktop Medicine. Health Affairs. 36(4). 655–662. 238 indexed citations breakdown →
3.
Afghahi, Anosheh, Maya B. Mathur, Caroline A. Thompson, et al.. (2016). Use of Gene Expression Profiling and Chemotherapy in Early-Stage Breast Cancer: A Study of Linked Electronic Medical Records, Cancer Registry Data, and Genomic Data Across Two Health Care Systems. Journal of Oncology Practice. 12(6). e697–e709. 11 indexed citations
4.
Afghahi, Anosheh, Aya Mitani, Manisha Desai, et al.. (2014). Use of the 21-gene recurrence score assay (RS) and chemotherapy (CT) across health care (HC) systems.. Journal of Clinical Oncology. 32(15_suppl). 6580–6580. 1 indexed citations
5.
Kurian, Allison W., Aya Mitani, Manisha Desai, et al.. (2013). Breast cancer treatment across health care systems: Linking electronic medical records and state registry data to enable outcomes research. Cancer. 120(1). 103–111. 47 indexed citations
6.
Leeper, Nicholas J., Anna Bauer‐Mehren, Srinivasan Iyer, et al.. (2013). Practice-Based Evidence: Profiling the Safety of Cilostazol by Text-Mining of Clinical Notes. PLoS ONE. 8(5). e63499–e63499. 60 indexed citations
7.
Weber, Susan, et al.. (2012). Oncoshare: lessons learned from building an integrated multi-institutional database for comparative effectiveness research.. PubMed. 2012. 970–8. 27 indexed citations
8.
Hakenewerth, Anne M., Cliff Olson, Bonnie D. Kerker, et al.. (2011). Health Disparities in New York City: Disparities in Breast, Colorectal and Cervical Cancers in New York City. Digital Repository at the University of Maryland (University of Maryland College Park). 1 indexed citations
9.
Olson, Cliff, et al.. (2010). Reducing Health Disparities in New York City: Health Disparities in Life Expectancy and Death. Digital Repository at the University of Maryland (University of Maryland College Park). 12 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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