Mathew J. Koretsky
Impact in
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- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
- Neurological diseases and metabolism
- Neurological disorders and treatments
Papers in
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- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 2
- Gene expression and cancer classification 2
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- Parkinson's Disease Mechanisms and Treatments 3
- Amyotrophic Lateral Sclerosis Research 2
- Neurological diseases and metabolism 1
- Co-authors
- Mike A. Nalls (7 shared papers)Kristin Levine (6 shared papers)Andrew Singleton (6 shared papers)Faraz Faghri (7 shared papers)Cornelis Blauwendraat (4 shared papers)Hirotaka Iwaki (7 shared papers)Hampton L. Leonard (6 shared papers)Sara Bandrés‐Ciga (5 shared papers)
- Journals
- The American Journal of Human Genetics (2 papers)Alzheimer s & Dementia (1 paper)Journal of Clinical Monitoring and Computing (1 paper)Movement Disorders (1 paper)Brain (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mathew J. Koretsky
8 papers receiving 47 citations
Peers
Comparison fields: 5 of 41
- Neurology 17
- Neurology 7
- Health Informatics 1
- Computer Graphics and Computer-Aided Design 2
- Physiology 13
Countries citing papers authored by Mathew J. Koretsky
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
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-authors
The 25 scholars most cited alongside Mathew J. Koretsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 15 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 11 | |
| 4 | 2024 | 4 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2025 | 0 |
About Mathew J. Koretsky
Mathew J. Koretsky is a scholar working on Molecular Biology, Neurology, Computational Theory and Mathematics, Surgery and Pharmacology, having authored 9 papers that have together received 48 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (3 papers), Computational Drug Discovery Methods (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Gene expression and cancer classification (2 papers), Neurological diseases and metabolism (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Neurology (17 citations), Neurology (7 citations), Health Informatics (1 citation), Computer Graphics and Computer-Aided Design (2 citations) and Physiology (13 citations). Mathew J. Koretsky has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mike A. Nalls, Kristin Levine, Andrew Singleton, Faraz Faghri, Cornelis Blauwendraat, Hirotaka Iwaki, Hampton L. Leonard, Sara Bandrés‐Ciga, Dan Vitale and Derralynn Hughes. Their work appears in journals such as The American Journal of Human Genetics, Alzheimer s & Dementia, Journal of Clinical Monitoring and Computing, Movement Disorders and Brain.
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.