Tyler Bath

438 total citations
8 papers, 195 citations indexed

About

Tyler Bath is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tyler Bath has authored 8 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tyler Bath's work include Ethics in Clinical Research (2 papers), Cancer Genomics and Diagnostics (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Tyler Bath is often cited by papers focused on Ethics in Clinical Research (2 papers), Cancer Genomics and Diagnostics (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Tyler Bath collaborates with scholars based in United States, Luxembourg and Denmark. Tyler Bath's co-authors include Jihoon Kim, Lucila Ohno‐Machado, Nathan E. Lewis, Ryan J. Weiss, Xiaoqian Jiang, Jeffrey D. Esko, Olivier Harismendy, Philipp N. Spahn, Elizabeth A. Bell and Paulina Paul and has published in prestigious journals such as Bioinformatics, Scientific Reports and Journal of the American Medical Informatics Association.

In The Last Decade

Tyler Bath

7 papers receiving 190 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyler Bath United States 6 84 43 29 29 25 8 195
Matthias Ganzinger Germany 9 87 1.0× 76 1.8× 52 1.8× 62 2.1× 11 0.4× 35 281
Murat Sariyar Germany 10 35 0.4× 35 0.8× 25 0.9× 57 2.0× 21 0.8× 26 244
Panagiotis Papachristou Sweden 8 95 1.1× 18 0.4× 18 0.6× 26 0.9× 73 2.9× 19 279
David Glazer Canada 4 91 1.1× 127 3.0× 17 0.6× 35 1.2× 11 0.4× 7 343
Peter Goodhand Canada 6 99 1.2× 166 3.9× 29 1.0× 20 0.7× 13 0.5× 8 400
Lewis J. Frey United States 11 113 1.3× 15 0.3× 18 0.6× 117 4.0× 23 0.9× 41 340
Jannik Schaaf Germany 8 59 0.7× 16 0.4× 24 0.8× 32 1.1× 9 0.4× 41 212
Moustafa Abdalla United States 7 78 0.9× 22 0.5× 12 0.4× 30 1.0× 4 0.2× 18 200
Mylène Deschênes Canada 7 48 0.6× 182 4.2× 27 0.9× 22 0.8× 21 0.8× 9 278
Fruzsina Molnár‐Gábor Germany 10 46 0.5× 163 3.8× 35 1.2× 42 1.4× 25 1.0× 23 291

Countries citing papers authored by Tyler Bath

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Bath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Bath

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

All Works

8 of 8 papers shown
1.
Johnson, Brian, Tyler Bath, Ashley Earles, et al.. (2025). Large language models for extracting histopathologic diagnoses of colorectal cancer and dysplasia from electronic health records. BMJ Open Gastroenterology. 12(1). e001896–e001896.
2.
Kuo, Tsung-Ting, Xiaoqian Jiang, Haixu Tang, et al.. (2022). The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. Journal of the American Medical Informatics Association. 29(12). 2182–2190. 13 indexed citations
3.
Kuo, Tsung-Ting, Tyler Bath, Nicholas D. Pattengale, et al.. (2021). Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track. International Journal of Medical Informatics. 154. 104559–104559. 18 indexed citations
4.
Richelle, Anne, Benjamin P. Kellman, Alexander T. Wenzel, et al.. (2021). Model-based assessment of mammalian cell metabolic functionalities using omics data. Cell Reports Methods. 1(3). 100040–100040. 20 indexed citations
5.
Kim, Jihoon, et al.. (2021). VERTIcal Grid lOgistic regression with Confidence Intervals (VERTIGO-CI).. PubMed. 2021. 355–364. 2 indexed citations
6.
Kim, Jihoon, Hyeoneui Kim, Elizabeth A. Bell, et al.. (2019). Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research. JAMA Network Open. 2(8). e199550–e199550. 64 indexed citations
7.
Spahn, Philipp N., Tyler Bath, Ryan J. Weiss, et al.. (2017). PinAPL-Py: A comprehensive web-application for the analysis of CRISPR/Cas9 screens. Scientific Reports. 7(1). 15854–15854. 63 indexed citations
8.
Kim, Ji Hoon, Éric Levy, Claudiu Farcas, et al.. (2014). MAGI: a Node.js web service for fast microRNA-Seq analysis in a GPU infrastructure. Bioinformatics. 30(19). 2826–2827. 15 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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