Stuart M. Gardos

7.5k total citations
6 papers, 126 citations indexed

About

Stuart M. Gardos is a scholar working on Cancer Research, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stuart M. Gardos has authored 6 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cancer Research, 2 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Stuart M. Gardos's work include Cancer Genomics and Diagnostics (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). Stuart M. Gardos is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). Stuart M. Gardos collaborates with scholars based in United States. Stuart M. Gardos's co-authors include Gerald A. Soff, Manish A. Shah, David P. Kelsen, Marinela Capanu, Andrew S. Epstein, Brian T. Denton, Eileen M. O’Reilly, David Artz, Theofanis Karaletsos and Gunnar Rätsch and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Journal of the American Medical Informatics Association.

In The Last Decade

Stuart M. Gardos

6 papers receiving 124 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stuart M. Gardos United States	4	53	45	26	23	22	6	126
Jill S. Gluskin United States	8	30 0.6×	58 1.3×	9 0.3×	26 1.1×	19 0.9×	26	235
Mafalda Casa-Nova Portugal	5	19 0.4×	57 1.3×	11 0.4×	2 0.1×	11 0.5×	6	84
Anna Morelli Italy	7	39 0.7×	56 1.2×	10 0.4×		28 1.3×	19	153
Elie A Akl Malaysia	2	95 1.8×	19 0.4×	54 2.1×		47 2.1×	2	129
P. Di Micco Italy	3	44 0.8×	13 0.3×	10 0.4×	1 0.0×	27 1.2×	5	84
Simona Pastorino Italy	6	21 0.4×	47 1.0×	51 2.0×		11 0.5×	8	131
Sarah Hilborne United Kingdom	6	15 0.3×	13 0.3×	5 0.2×	3 0.1×	25 1.1×	6	122
Jan Hudeček Slovakia	7	18 0.3×	21 0.5×		5 0.2×	12 0.5×	14	190
Polychronis Kemos United Kingdom	9	5 0.1×	55 1.2×	4 0.2×	11 0.5×	1 0.0×	24	225
Nicholas H. Chakiryan United States	9	6 0.1×	36 0.8×	3 0.1×	3 0.1×	14 0.6×	34	199

Countries citing papers authored by Stuart M. Gardos

Since Specialization

Citations

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

Fields of papers citing papers by Stuart M. Gardos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart M. Gardos. 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 Stuart M. Gardos. The network helps show where Stuart M. Gardos may publish in the future.

Co-authorship network of co-authors of Stuart M. Gardos

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

All Works

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6 of 6 papers shown

1.

Thomas, Stacy B., Tara M. Lichtenberg, Kristen K. Dang, et al.. (2020). Linked Entity Attribute Pair (LEAP): A Harmonization Framework for Data Pooling. JCO Clinical Cancer Informatics. 4(4). 691–699. 1 indexed citations

2.

Tao, Jessica J., Michael Eubank, Alexander Drilon, et al.. (2018). PRECISE: A clinical-grade automated molecular eligibility screening and just-in-time (JIT) physician decision support solution for molecularly-selected oncology trials.. Journal of Clinical Oncology. 36(15_suppl). 6507–6507. 1 indexed citations

3.

Eubank, Michael, et al.. (2016). Automated eligibility screening and monitoring for genotype-driven precision oncology trials. Journal of the American Medical Informatics Association. 23(4). 777–781. 15 indexed citations

4.

Lou, Xinghua, et al.. (2013). An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes. 1. 56–63. 27 indexed citations

5.

Epstein, Andrew S., Gerald A. Soff, Marinela Capanu, et al.. (2011). Analysis of incidence and clinical outcomes in patients with thromboembolic events and invasive exocrine pancreatic cancer. Cancer. 118(12). 3053–3061. 77 indexed citations

6.

Epstein, Andrew S., et al.. (2010). A single-institution (MSKCC) analysis of incidence and clinical outcomes in patients with thromboembolic events and exocrine pancreas cancer.. Journal of Clinical Oncology. 28(15_suppl). 4062–4062. 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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