Michael E. Talkowski
Impact in
- Genetics top 0.1%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetics and Neurodevelopmental Disorders
- Genetic Associations and Epidemiology
- Cognitive Neuroscience top 0.5%
- Autism Spectrum Disorder Research
Papers in
- Genetics 120
- Genomic variations and chromosomal abnormalities 64
- Genomics and Rare Diseases 32
- Genetics and Neurodevelopmental Disorders 23
- Genetic Associations and Epidemiology 13
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- Schizophrenia research and treatment 22
- Co-authors
- James F. Gusella (28 shared papers)Harrison Brand (16 shared papers)Serkan Erdin (24 shared papers)Ryan L. Collins (15 shared papers)Ashok Ragavendran (9 shared papers)Kiran Musunuru (3 shared papers)Chad A. Cowan (3 shared papers)Vishwajit Laxmikant Nimgaonkar (13 shared papers)
- Journals
- The American Journal of Human Genetics (28 papers)Nature Communications (13 papers)Nature Genetics (12 papers)Nature (11 papers)European Neuropsychopharmacology (7 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michael E. Talkowski
201 papers receiving 24.1k citations
Michael E. Talkowski's Hit Papers
Peers
Comparison fields: 5 of 156
- Genetics 11.6k
- Cognitive Neuroscience 2.7k
- Developmental Neuroscience 307
- Psychiatry and Mental health 1.7k
- Molecular Biology 5.8k
Countries citing papers authored by Michael E. Talkowski
This map shows the geographic impact of Michael E. Talkowski'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 Michael E. Talkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Talkowski more than expected).
Fields of papers citing papers by Michael E. Talkowski
This network shows the impact of papers produced by Michael E. Talkowski. 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 Michael E. Talkowski. The network helps show where Michael E. Talkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael E. Talkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The mutational constraint spectrum quantified from variation in 141,456 humans Hit paper breakdown → | 2020 | 6789 |
| 2 | Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism Hit paper breakdown → | 2019 | 1575 |
| 3 | Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci Hit paper breakdown → | 2015 | 1058 |
| 4 | Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders Hit paper breakdown → | 2019 | 992 |
| 5 | A genomic mutational constraint map using variation in 76,156 human genomes Hit paper breakdown → | 2023 | 966 |
| 6 | A structural variation reference for medical and population genetics Hit paper breakdown → | 2020 | 650 |
| 7 | Multi-platform discovery of haplotype-resolved structural variation in human genomes Hit paper breakdown → | 2019 | 577 |
| 8 | High-coverage whole-genome sequencing of the expanded 1000 Genomes Project cohort including 602 trios Hit paper breakdown → | 2022 | 575 |
| 9 | Sequencing Chromosomal Abnormalities Reveals Neurodevelopmental Loci that Confer Risk across Diagnostic Boundaries Hit paper breakdown → | 2012 | 481 |
| 10 | Haplotype-resolved diverse human genomes and integrated analysis of structural variation Hit paper breakdown → | 2021 | 438 |
| 11 | 2014 | 410 | |
| 12 | 2014 | 404 | |
| 13 | Rare coding variation provides insight into the genetic architecture and phenotypic context of autism Hit paper breakdown → | 2022 | 360 |
| 14 | 2012 | 327 | |
| 15 | 2018 | 303 | |
| 16 | 2017 | 292 | |
| 17 | 2014 | 257 | |
| 18 | 2016 | 241 | |
| 19 | Whole-Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized With Early-Onset Myocardial Infarction Hit paper breakdown → | 2019 | 234 |
| 20 | A cross-disorder dosage sensitivity map of the human genome Hit paper breakdown → | 2022 | 214 |
About Michael E. Talkowski
Michael E. Talkowski is a scholar working on Genetics, Psychiatry and Mental health, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 206 papers that have together received 24.5k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (64 papers), Genomics and Rare Diseases (32 papers), Genetics and Neurodevelopmental Disorders (23 papers), Autism Spectrum Disorder Research (22 papers), Schizophrenia research and treatment (22 papers), Genetic Associations and Epidemiology (13 papers), Prenatal Screening and Diagnostics (10 papers) and Genetic Neurodegenerative Diseases (7 papers). The work is most often cited by research in Genetics (11.6k citations), Cognitive Neuroscience (2.7k citations), Developmental Neuroscience (307 citations), Psychiatry and Mental health (1.7k citations) and Molecular Biology (5.8k citations). Michael E. Talkowski has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James F. Gusella, Harrison Brand, Serkan Erdin, Ryan L. Collins, Ashok Ragavendran, Kiran Musunuru, Chad A. Cowan, Vishwajit Laxmikant Nimgaonkar, Kodavali V. Chowdari and Carrie Hanscom. Their work appears in journals such as The American Journal of Human Genetics, Nature Communications, Nature Genetics, Nature and European Neuropsychopharmacology.
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.