Mathew J. Koretsky

865 total citations
9 papers, 48 citations indexed

About

Mathew J. Koretsky is a scholar working on Molecular Biology, Neurology and Computational Theory and Mathematics. According to data from OpenAlex, Mathew J. Koretsky has authored 9 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Mathew J. Koretsky's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Computational Drug Discovery Methods (2 papers). Mathew J. Koretsky is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Computational Drug Discovery Methods (2 papers). Mathew J. Koretsky collaborates with scholars based in United States, United Kingdom and Germany. Mathew J. Koretsky's co-authors include Mike A. Nalls, Andrew Singleton, Dan Vitale, Kristin Levine, Faraz Faghri, Sara Bandrés‐Ciga, Hirotaka Iwaki, Cornelis Blauwendraat, Hampton L. Leonard and Roger N. Gunn and has published in prestigious journals such as Brain, The American Journal of Human Genetics and Movement Disorders.

In The Last Decade

Mathew J. Koretsky

8 papers receiving 47 citations

Peers

Mathew J. Koretsky

MB

NEURO

PHYSI

NEURO

GENET

Chelsea X. Alvarado United States

Angela Ritter United States

Laura Montrreal Spain

Pablo García‐González Spain

Timothy Earr France

Pilar Álvarez Jerez United States

Jon‐Anders Tunold Netherlands

Lakshmi Yerra United States

Mahgenn Cosico United States

Javed Fowdar Australia

Chelsea X. Alvarado United States

Mathew J. Koretsky

27 ×1.6

MB

13 ×0.8

NEURO

15 ×1.2

PHYSI

8 ×1.1

NEURO

20 ×4.0

GENET

Citations per year, relative to Mathew J. Koretsky Mathew J. Koretsky (= 1×) peers Chelsea X. Alvarado

Countries citing papers authored by Mathew J. Koretsky

Since Specialization

Citations

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

Fields of papers citing papers by Mathew J. Koretsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathew J. Koretsky. 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 Mathew J. Koretsky. The network helps show where Mathew J. Koretsky may publish in the future.

Co-authorship network of co-authors of Mathew J. Koretsky

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

All Works

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9 of 9 papers shown

1.

Levine, Kristin, Jun Han, Hirotaka Iwaki, et al.. (2025). Sleep disturbances as risk factors for neurodegeneration later in life. ORCA Online Research @Cardiff. 1(1). 2 indexed citations

2.

Alvarado, Chelsea X., Mary B. Makarious, Dan Vitale, et al.. (2025). omicSynth: An open multi-omic community resource for identifying druggable targets across neurodegenerative diseases. The American Journal of Human Genetics. 112(9). 2248–2248.

3.

Vitale, Dan, Mathew J. Koretsky, M R James, et al.. (2024). GenoTools: an open-source Python package for efficient genotype data quality control and analysis. G3 Genes Genomes Genetics. 15(1). 2 indexed citations

4.

Alvarado, Chelsea X., Mary B. Makarious, Dan Vitale, et al.. (2024). omicSynth: An open multi-omic community resource for identifying druggable targets across neurodegenerative diseases. The American Journal of Human Genetics. 111(1). 150–164. 4 indexed citations

5.

Kaur, Rachneet, Mathew J. Koretsky, Hirotaka Iwaki, et al.. (2023). Application of Aligned-UMAP to longitudinal biomedical studies. Patterns. 4(6). 100741–100741. 11 indexed citations

6.

Alvarado, Chelsea X., Mary B. Makarious, Dan Vitale, et al.. (2023). omicSynth: an open multi‐omic community resource for identifying druggable targets across neurodegenerative diseases. Alzheimer s & Dementia. 19(S24). 1 indexed citations

7.

Blauwendraat, Cornelis, Nahid Tayebi, Grisel Lopez, et al.. (2023). Polygenic Parkinson's Disease Genetic Risk Score as Risk Modifier of Parkinsonism in Gaucher Disease. Movement Disorders. 38(5). 899–903. 11 indexed citations

8.

Koretsky, Mathew J., Chelsea X. Alvarado, Mary B. Makarious, et al.. (2023). Genetic risk factor clustering within and across neurodegenerative diseases. Brain. 146(11). 4486–4494. 15 indexed citations

9.

Koretsky, Mathew J., Ethan Y. Brovman, Richard D. Urman, Mitchell H. Tsai, & Nick Cheney. (2022). A machine learning approach to predicting early and late postoperative reintubation. Journal of Clinical Monitoring and Computing. 37(2). 501–508. 2 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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