Sinan Shi
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Forensic and Genetic Research
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
- Genetics 4
- Genetic Associations and Epidemiology 3
- Genomics and Rare Diseases 1
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- Genomics and Phylogenetic Studies 2
- Co-authors
- Simon Myers (4 shared papers)Leo Speidel (1 shared paper)Marie Forest (1 shared paper)Jonathan Marchini (3 shared papers)Karla L. Miller (1 shared paper)Fidel Alfaro‐Almagro (1 shared paper)Stephen M. Smith (1 shared paper)Kevin Sharp (1 shared paper)
- Journals
- Nature Genetics (4 papers)Critical Care Medicine (1 paper)Computing and Visualization in Science (1 paper)International Journal of Medical Informatics (1 paper)Nature (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Sinan Shi
12 papers receiving 1.1k citations
Sinan Shi's Hit Papers
Peers
Comparison fields: 5 of 140
- Genetics 438
- Cognitive Neuroscience 138
- Soil Science 57
- Health Informatics 7
- Water Science and Technology 75
Countries citing papers authored by Sinan Shi
This map shows the geographic impact of Sinan Shi'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 Sinan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinan Shi more than expected).
Fields of papers citing papers by Sinan Shi
This network shows the impact of papers produced by Sinan Shi. 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 Sinan Shi. The network helps show where Sinan Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sinan Shi, 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 | Genome-wide association studies of brain imaging phenotypes in UK Biobank Hit paper breakdown → | 2018 | 445 |
| 2 | A method for genome-wide genealogy estimation for thousands of samples Hit paper breakdown → | 2019 | 284 |
| 3 | 2016 | 188 | |
| 4 | 2021 | 49 | |
| 5 | 2018 | 36 | |
| 6 | 2015 | 30 | |
| 7 | 2013 | 24 | |
| 8 | 2025 | 16 | |
| 9 | 2024 | 15 | |
| 10 | 2021 | 15 | |
| 11 | GPU Implementation of Iterative Solvers in Numerical Weather Predicting Models | 2013 | 2 |
| 12 | 2017 | 1 |
About Sinan Shi
Sinan Shi is a scholar working on Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Computational Mechanics and Computational Theory and Mathematics, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Genomics and Phylogenetic Studies (2 papers), Climate change impacts on agriculture (2 papers), Matrix Theory and Algorithms (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genomics and Rare Diseases (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Genetics (438 citations), Cognitive Neuroscience (138 citations), Soil Science (57 citations), Health Informatics (7 citations) and Water Science and Technology (75 citations). Sinan Shi has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Simon Myers, Leo Speidel, Marie Forest, Jonathan Marchini, Karla L. Miller, Fidel Alfaro‐Almagro, Stephen M. Smith, Kevin Sharp, Lloyd T. Elliott and Gwenaëlle Douaud. Their work appears in journals such as Nature Genetics, Critical Care Medicine, Computing and Visualization in Science, International Journal of Medical Informatics and Nature.
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.