Stephen Skentzos

715 total citations · 1 hit paper
7 papers, 550 citations indexed

About

Stephen Skentzos is a scholar working on Molecular Biology, Economics and Econometrics and Surgery. According to data from OpenAlex, Stephen Skentzos has authored 7 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Economics and Econometrics and 2 papers in Surgery. Recurrent topics in Stephen Skentzos's work include Pharmaceutical Economics and Policy (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Pharmaceutical Practices and Patient Outcomes (2 papers). Stephen Skentzos is often cited by papers focused on Pharmaceutical Economics and Policy (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Pharmaceutical Practices and Patient Outcomes (2 papers). Stephen Skentzos collaborates with scholars based in United States and China. Stephen Skentzos's co-authors include Alexander Turchin, Jorge Plutzky, Fritha Morrison, Maria Shubina, Huabing Zhang, Perry Mar, Shervin Malmasi, Maria Shubina, Julia Wenger and Sagar U. Nigwekar and has published in prestigious journals such as Annals of Internal Medicine, Journal of Vascular Surgery and American Journal of Nephrology.

In The Last Decade

Stephen Skentzos

7 papers receiving 537 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Discontinuation of Statins in Routine Care Settings

2013 422 citations Huabing Zhang, Jorge Plutzky et al. Annals of Internal Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Skentzos United States	6	389	212	84	69	55	7	550
Thomas L. Jeanne United States	6	279 0.7×	129 0.6×	123 1.5×	86 1.2×	45 0.8×	9	548
Elias Basayannis Greece	3	338 0.9×	170 0.8×	119 1.4×	136 2.0×	14 0.3×	5	425
Don Luo United States	11	500 1.3×	266 1.3×	172 2.0×	184 2.7×	37 0.7×	23	817
Yingfeng Lin Germany	12	365 0.9×	137 0.6×	213 2.5×	67 1.0×	110 2.0×	28	744
Andrew Koren United States	12	368 0.9×	212 1.0×	200 2.4×	119 1.7×	12 0.2×	33	600
Valasia V. Athyrou Greece	6	565 1.5×	209 1.0×	173 2.1×	314 4.6×	50 0.9×	6	689
Sandeep S. Mangalmurti United States	7	303 0.8×	114 0.5×	86 1.0×	77 1.1×	59 1.1×	10	520
Tuncay Yetgin Netherlands	9	444 1.1×	212 1.0×	287 3.4×	171 2.5×	39 0.7×	15	795
Ioanna Gouni-Berthold Germany	4	358 0.9×	155 0.7×	61 0.7×	108 1.6×	72 1.3×	6	599
Fritha Morrison United States	8	391 1.0×	243 1.1×	140 1.7×	155 2.2×	36 0.7×	13	685

Countries citing papers authored by Stephen Skentzos

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Skentzos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Skentzos

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Malmasi, Shervin, et al.. (2017). Extracting Healthcare Quality Information from Unstructured Data.. PubMed. 2017. 1243–1252. 17 indexed citations

2.

Malmasi, Shervin, et al.. (2017). Canary: An NLP Platform for Clinicians and Researchers. Applied Clinical Informatics. 8(2). 447–453. 25 indexed citations

3.

Morrison, Fritha, Huabing Zhang, Stephen Skentzos, et al.. (2014). Reasons for Discontinuation of Lipid-Lowering Medications in Patients with Chronic Kidney Disease. Cardiorenal Medicine. 4(3-4). 225–233. 9 indexed citations

4.

Nigwekar, Sagar U., Alexander Turchin, Stephen Skentzos, et al.. (2013). Statin Use and Calcific Uremic Arteriolopathy: A Matched Case-Control Study. American Journal of Nephrology. 37(4). 325–332. 54 indexed citations

5.

Plutzky, Jorge, et al.. (2013). Discontinuation of Statin in Routine Care Settings: A Cohort Study. Journal of Vascular Surgery. 58(3). 843–843. 1 indexed citations

6.

Zhang, Huabing, Jorge Plutzky, Stephen Skentzos, et al.. (2013). Discontinuation of Statins in Routine Care Settings. Annals of Internal Medicine. 158(7). 526–534. 422 indexed citations breakdown →

7.

Skentzos, Stephen, Maria Shubina, Jorge Plutzky, & Alexander Turchin. (2011). Structured vs. unstructured: factors affecting adverse drug reaction documentation in an EMR repository.. PubMed. 2011. 1270–9. 22 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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