Sinan Shi

2.3k citations
11 papers · 1.3k · 2 hit papers · h-index 10

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
    • Functional Brain Connectivity Studies

Papers in

    • Genetic Associations and Epidemiology 3
    • Genetic diversity and population structure 1
    • Genetic Syndromes and Imprinting 1
    • Soil Carbon and Nitrogen Dynamics 1

Sinan Shi

11 papers receiving 1.3k citations

Sinan Shi's Hit Papers

A method for genome-wide genealogy estimation for thousands of samples 2019 · 312 citations
3120+2+5Years since publication100200300400500

Peers

Sinan Shi
Comparison fields: 5 of 147
  • Genetics 501
  • Cognitive Neuroscience 152
  • Soil Science 58
  • Water Science and Technology 81
  • Global and Planetary Change 104
Replace Shi-Dong Chen with:
Shi-Dong Chen China
Remy Dehaan United States
Daniel J. Epstein United States
Kimberly A. Miller United States
Bonnie J. Smith United States
Bingxin Zhao United States
Andrew J. Malcolm Canada
David A. Skaar United States
Hideo Kikkawa Japan
Jonas Dahl United States
Sinan Shi relative to Shi-Dong Chen China Shi-Dong Chen's profile →
Citations per field
00.5×2×3×4×5×
Shi-Dong Chen · 1×
Citations per year

Countries citing papers authored by Sinan Shi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sinan Shi Line = papers co-authored together Sinan Shi links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Genome-wide association studies of brain imaging phenotypes in UK Biobank
Hit paper breakdown →
2018525
2
A method for genome-wide genealogy estimation for thousands of samples
Hit paper breakdown →
2019312
3 2016206
4 202162
5 201842
6 201532
7 201324
8 202522
9 202419
10 202119
11
Mediterranean agriculture: More efficient irrigation needed to compensate increases in future irrigation water requirements
20161

About Sinan Shi

Sinan Shi is a scholar working on Genetics, Soil Science, Ecology, Evolution, Behavior and Systematics, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Genomics and Phylogenetic Studies (2 papers), Climate change impacts on agriculture (2 papers), Soil Carbon and Nitrogen Dynamics (1 paper), Genetic diversity and population structure (1 paper), Plant Water Relations and Carbon Dynamics (1 paper), Agriculture Sustainability and Environmental Impact (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Genetics (501 citations), Cognitive Neuroscience (152 citations), Soil Science (58 citations), Water Science and Technology (81 citations) and Global and Planetary Change (104 citations). Sinan Shi has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Simon Robert Myers, Leo Speidel, Marie Forest, Jonathan Marchini, Fidel Alfaro‐Almagro, Stephen M. Smith, Karla L. Miller, Gwenaëlle Douaud, Lloyd T. Elliott and Kevin Sharp. Their work appears in journals such as Nature Genetics, Geoscientific model development, Computing and Visualization in Science, Hydrology and earth system sciences and International Journal of Medical Informatics.

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.

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