Mathew J. Koretsky
Impact in
-
- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
- Neurological diseases and metabolism
Papers in
-
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 2
-
- Amyotrophic Lateral Sclerosis Research 2
- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Faraz Faghri (8 shared papers)Dan Vitale (6 shared papers)Andrew Singleton (7 shared papers)Hirotaka Iwaki (7 shared papers)Mike A. Nalls (7 shared papers)Kristin Levine (6 shared papers)Sara Bandrés‐Ciga (6 shared papers)Chelsea X. Alvarado (4 shared papers)
- Journals
- The American Journal of Human Genetics (2 papers)Nature Communications (1 paper)G3 Genes Genomes Genetics (1 paper)Journal of Clinical Monitoring and Computing (1 paper)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mathew J. Koretsky
8 papers receiving 57 citations
Peers
Comparison fields: 5 of 39
- Neurology 17
- Neurology 6
- Health Informatics 1
- Physiology 17
- Computer Graphics and Computer-Aided Design 2
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 | 17 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 12 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 5 | |
| 6 | 2025 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 |
About Mathew J. Koretsky
Mathew J. Koretsky is a scholar working on Molecular Biology, Neurology, Computational Theory and Mathematics, Physiology and Surgery, having authored 10 papers that have together received 58 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (2 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Computational Drug Discovery Methods (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Alzheimer's disease research and treatments (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Neurology (17 citations), Neurology (6 citations), Health Informatics (1 citation), Physiology (17 citations) and Computer Graphics and Computer-Aided Design (2 citations). Mathew J. Koretsky has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Faraz Faghri, Dan Vitale, Andrew Singleton, Hirotaka Iwaki, Mike A. Nalls, Kristin Levine, Sara Bandrés‐Ciga, Chelsea X. Alvarado, Cornelis Blauwendraat and Hampton L. Leonard. Their work appears in journals such as The American Journal of Human Genetics, Nature Communications, G3 Genes Genomes Genetics, Journal of Clinical Monitoring and Computing and Alzheimer s & Dementia.
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.