Sun‐Wei Guo

964 citations
14 papers · 685 · h-index 11

Impact in

  • Genetics top 5%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders

Papers in

    • Genetic Associations and Epidemiology 11
    • Genetic Mapping and Diversity in Plants and Animals 10
    • Genomic variations and chromosomal abnormalities 4
    • Genetic and phenotypic traits in livestock 3
    • Genomics and Chromatin Dynamics 1

Sun‐Wei Guo

14 papers receiving 654 citations

Peers

Sun‐Wei Guo
Comparison fields: 5 of 101
  • Genetics 461
  • Nature and Landscape Conservation 33
  • Plant Science 96
  • Ecological Modeling 10
  • Statistics and Probability 16
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Citations per field
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Citations per year

Countries citing papers authored by Sun‐Wei Guo

Since Specialization
Citations

This map shows the geographic impact of Sun‐Wei Guo'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 Sun‐Wei Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐Wei Guo more than expected).

Fields of papers citing papers by Sun‐Wei Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Wei Guo. 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 Sun‐Wei Guo. The network helps show where Sun‐Wei Guo may publish in the future.

Co-authors

The 5 scholars most cited alongside Sun‐Wei Guo, 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 Sun‐Wei Guo Line = papers co-authored together Sun‐Wei Guo links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
A Monte Carlo method for combined segregation and linkage analysis.
1992248
2 1996156
3 199875
4 200038
5 200129
6 199629
7 200029
8 200024
9
Affected-Sib-Pair Interval Mapping and Exclusion for Complex Genetic Traits:
199614
10 199913
11 200011
12 199410
13
Gametogenesis processes and multilocus gene identity by descent.
19966
14 19973

About Sun‐Wei Guo

Sun‐Wei Guo is a scholar working on Genetics, Molecular Biology, Plant Science, Experimental and Cognitive Psychology and Applied Psychology, having authored 14 papers that have together received 685 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Genomic variations and chromosomal abnormalities (4 papers), Genetic and phenotypic traits in livestock (3 papers), Health Systems, Economic Evaluations, Quality of Life (1 paper), Global Public Health Policies and Epidemiology (1 paper), Genomics and Chromatin Dynamics (1 paper) and Genetics and Plant Breeding (1 paper). The work is most often cited by research in Genetics (461 citations), Nature and Landscape Conservation (33 citations), Plant Science (96 citations), Ecological Modeling (10 citations) and Statistics and Probability (16 citations). Sun‐Wei Guo has collaborated with scholars based in United States and Poland. Frequent co-authors include E. A. Thompson, Elizabeth R. Hauser, Neil Risch, Michael Boehnke and Kenneth Lange. Their work appears in journals such as Human Heredity, The American Journal of Human Genetics, American Journal of Epidemiology, Genetics and Theoretical Population Biology.

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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