S. F. Schaffner
- Genetics top 0.05%
- Molecular Biology top 0.5%
- Public Health, Environmental and Occupational Health top 1%
- Immunology top 2%
- Physiology top 2%
- Co-authors
- Eric S. LanderMark J. DalyDavid AltshulerPardis C. SabetiStacey GabrielJohn M. HigginsThomas J. HudsonRyk Ward
- Topics
- Malaria Research and Control (18 papers)Genetic Associations and Epidemiology (11 papers)Mosquito-borne diseases and control (9 papers)
- Cited by
- GeneticsMolecular BiologyImmunology
- Partner nations
- United StatesUnited KingdomSenegal
In The Last Decade
S. F. Schaffner
62 papers receiving 16.5k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Genetics 9.2k
- Molecular Biology 6.1k
- Public Health, Environmental and Occupational Health 1.4k
- Immunology 1.3k
- Physiology 1.1k
Countries citing papers authored by S. F. Schaffner
This map shows the geographic impact of S. F. Schaffner'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 S. F. Schaffner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. F. Schaffner more than expected).
Fields of papers citing papers by S. F. Schaffner
This network shows the impact of papers produced by S. F. Schaffner. 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 S. F. Schaffner. The network helps show where S. F. Schaffner may publish in the future.
Co-authorship network of co-authors of S. F. Schaffner
This figure shows the co-authorship network connecting the top 25 collaborators of S. F. Schaffner. A scholar is included among the top collaborators of S. F. Schaffner 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 S. F. Schaffner. S. F. Schaffner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 4 | |
| 3 | Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitnessbreakdown → | 162 |
| 4 | 13 | |
| 5 | 7 | |
| 6 | 64 | |
| 7 | 78 | |
| 8 | 78 | |
| 9 | 105 | |
| 10 | 28 | |
| 11 | 75 | |
| 12 | 42 | |
| 13 | 75 | |
| 14 | 222 | |
| 15 | Genome-wide detection and characterization of positive selection in human populationsbreakdown → | 1403 |
| 16 | The Case for Selection at CCR5-Δ32 | 11 |
| 17 | Genetic Signatures of Strong Recent Positive Selection at the Lactase Genebreakdown → | 693 |
| 18 | 226 | |
| 19 | 468 | |
| 20 | The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetesbreakdown → | 1310 |
About S. F. Schaffner
S. F. Schaffner is a scholar working on Virology, Parasitology and Genetics, having authored 62 papers that have together received 16.8k indexed citations. Recurring topics across this work include Malaria Research and Control (18 papers), Genetic Associations and Epidemiology (11 papers) and Mosquito-borne diseases and control (9 papers). The work is most often cited by research in Genetics (9.2k citations), Molecular Biology (6.1k citations) and Immunology (1.3k citations). S. F. Schaffner has collaborated with scholars based in United States, United Kingdom and Senegal. Frequent co-authors include Eric S. Lander, Mark J. Daly, David Altshuler, Pardis C. Sabeti, Stacey Gabriel, John M. Higgins, Thomas J. Hudson, Ryk Ward, David Reich and John D. Rioux. Their work appears in journals such as Nature, Science and Cell.
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.