Nicholas J. Schork
- Molecular Biology top 0.2%
- Genetics top 0.02%
- Physiology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Epidemiology top 0.5%
- Co-authors
- Eric S. LanderEric J. TopolAli TorkamaniSarah S. MurrayKelly A. FrazerOndrej LibigerCinnamon S. BlossLaura H. Goetz
- Topics
- Genetic Associations and Epidemiology (106 papers)Genetic Mapping and Diversity in Plants and Animals (54 papers)Bioinformatics and Genomic Networks (34 papers)
- Cited by
- AgingGeneticsBiological Psychiatry
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Nicholas J. Schork
455 papers receiving 31.4k citations
Hit Papers
Peers
Comparison fields: 5 of 222
- Molecular Biology 10.9k
- Genetics 10.9k
- Physiology 3.4k
- Cardiology and Cardiovascular Medicine 2.9k
- Epidemiology 2.8k
Countries citing papers authored by Nicholas J. Schork
This map shows the geographic impact of Nicholas J. Schork'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 Nicholas J. Schork with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas J. Schork more than expected).
Fields of papers citing papers by Nicholas J. Schork
This network shows the impact of papers produced by Nicholas J. Schork. 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 Nicholas J. Schork. The network helps show where Nicholas J. Schork may publish in the future.
Co-authorship network of co-authors of Nicholas J. Schork
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Schork. A scholar is included among the top collaborators of Nicholas J. Schork 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 Nicholas J. Schork. Nicholas J. Schork is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 98 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 156 | |
| 7 | 15 | |
| 8 | Patterns of population epigenomic diversitybreakdown → | 407 |
| 9 | Common repeat polymorphism in the dopamine transporter gene SLC6A3 is associated with stop signal reaction time (SSRT) and motion coherence threshold (MCT) | 1 |
| 10 | Transgenerational Epigenetic Instability Is a Source of Novel Methylation Variantsbreakdown → | 479 |
| 11 | 19 | |
| 12 | 101 | |
| 13 | 79 | |
| 14 | 48 | |
| 15 | 7 | |
| 16 | 73 | |
| 17 | 94 | |
| 18 | 141 | |
| 19 | Genetic dissection of hypertension in the spontaneously hypertensive rat (shr) | 1 |
| 20 | 2 |
About Nicholas J. Schork
Nicholas J. Schork is a scholar working on Aging, Genetics and Periodontics, having authored 460 papers that have together received 32.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (106 papers), Genetic Mapping and Diversity in Plants and Animals (54 papers) and Bioinformatics and Genomic Networks (34 papers). The work is most often cited by research in Aging (715 citations), Genetics (10.9k citations) and Biological Psychiatry (478 citations). Nicholas J. Schork has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Eric S. Lander, Eric J. Topol, Ali Torkamani, Sarah S. Murray, Kelly A. Frazer, Ondrej Libiger, Cinnamon S. Bloss, Laura H. Goetz, Caroline M. Nievergelt and Aditya K. Gupta. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.