Jamie Overbeek

2.6k total citations
7 papers, 122 citations indexed

About

Jamie Overbeek is a scholar working on Molecular Biology, Astronomy and Astrophysics and Computational Theory and Mathematics. According to data from OpenAlex, Jamie Overbeek has authored 7 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Astronomy and Astrophysics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Jamie Overbeek's work include Bioinformatics and Genomic Networks (2 papers), Astro and Planetary Science (2 papers) and Computational Drug Discovery Methods (2 papers). Jamie Overbeek is often cited by papers focused on Bioinformatics and Genomic Networks (2 papers), Astro and Planetary Science (2 papers) and Computational Drug Discovery Methods (2 papers). Jamie Overbeek collaborates with scholars based in United States, Belgium and China. Jamie Overbeek's co-authors include Alexander Partin, Austin Clyde, Yitan Zhu, Oleksandr Narykov, Rick Stevens, Thomas Brettin, Heather R. Jacobson, Eileen D. Friel, Rory Butler and Ross Overbeek and has published in prestigious journals such as PLoS ONE, The Astrophysical Journal and Cancer Research.

In The Last Decade

Jamie Overbeek

6 papers receiving 118 citations

Peers

Countries citing papers authored by Jamie Overbeek

Since Specialization

Citations

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

Fields of papers citing papers by Jamie Overbeek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Overbeek

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis 2026 ·Briefings in Bioinformatics ·Alexander Partin, (unknown), (unknown), (unknown), (unknown), Steve Jones, (unknown), Jamie Overbeek, Rajeev Jain, (unknown), (unknown), (unknown), (unknown), Nicholas Chia, Justin M. Wozniak, (unknown), (unknown), (unknown), (unknown), (unknown)	0
2	Deep learning methods for drug response prediction in cancer: Predominant and emerging trends 2023 ·Frontiers in Medicine ·Alexander Partin, Thomas Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek, Rick Stevens	59
3	Abstract 5380: Systematic evaluation and comparison of drug response prediction models: a case study of prediction generalization across cell lines datasets 2023 ·Cancer Research ·Alexander Partin, Thomas Brettin, Yitan Zhu, Jamie Overbeek, Oleksandr Narykov, (unknown), Austin Clyde, Sara E. Jones, (unknown), Justin M. Wozniak, Andreas Wilke, Jamaludin Mohd‐Yusof, Michael R. Weil, Alexander T. Pearson, Rick Stevens	1
4	Classification of bacterial plasmid and chromosome derived sequences using machine learning 2022 ·PLoS ONE ·Xiaohui Zou, Marcus Nguyen, Jamie Overbeek, Bin Cao, (unknown)	5
5	A machine learning-based service for estimating quality of genomes using PATRIC 2019 ·BMC Bioinformatics ·Bruce Parrello, Rory Butler, Philippe Chlenski, Robert Olson, Jamie Overbeek, Gordon D. Pusch, Veronika Vonstein, Ross Overbeek	29
6	NEW NEUTRON-CAPTURE MEASUREMENTS IN 23 OPEN CLUSTERS. I. THE r-PROCESS 2016 ·The Astrophysical Journal ·Jamie Overbeek, Eileen D. Friel, Heather R. Jacobson	13
7	NGC 7789: AN OPEN CLUSTER CASE STUDY 2014 ·The Astronomical Journal ·Jamie Overbeek, Eileen D. Friel, Heather R. Jacobson, Christian I. Johnson, C. A. Pilachowski, Szabolcs Mészáros	15

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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