Guiyan Ni

1.3k citations
13 papers · 334 · h-index 9

Impact in

  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic Associations and Epidemiology
    • BRCA gene mutations in cancer
    • Cancer-related molecular mechanisms research

Papers in

    • Genetic and phenotypic traits in livestock 7
    • Genetic Mapping and Diversity in Plants and Animals 6
    • Genetic Associations and Epidemiology 5
    • Nutrition, Genetics, and Disease 1
    • Animal Behavior and Welfare Studies 1

Guiyan Ni

13 papers receiving 334 citations

Peers

Guiyan Ni
Comparison fields: 5 of 66
  • Genetics 259
  • Cancer Research 24
  • Animal Science and Zoology 13
  • Agronomy and Crop Science 11
  • Plant Science 38
Replace Vinicius Henrique da Silva with:
Vinicius Henrique da Silva Brazil
Robin J. Hofmeister Switzerland
R. van Binsbergen Netherlands
Teresa Cymbron Portugal
Andrew Cutting Australia
Ludmilla B. Zavarez Brazil
Yaoxi He China
Martín A. Estermann Australia
Douglas W. Bjelland United States
Guiyan Ni relative to Vinicius Henrique da Silva Brazil Vinicius Henrique da Silva's profile →
Citations per field
00.5×3.7×
Vinicius Henrique da Silva · 1×
Citations per year

Countries citing papers authored by Guiyan Ni

Since Specialization
Citations

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

Fields of papers citing papers by Guiyan Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guiyan Ni. 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 Guiyan Ni. The network helps show where Guiyan Ni may publish in the future.

Co-authors

The 25 scholars most cited alongside Guiyan Ni, 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 Guiyan Ni Line = papers co-authored together Guiyan Ni links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2020118
2 201751
3 201947
4 201832
5 201922
6 201519
7 202312
8 202011
9 20249
10 20124
11 20223
12 20173
13 20203

About Guiyan Ni

Guiyan Ni is a scholar working on Genetics, Small Animals, Molecular Biology, Genetics and General Health Professions, having authored 13 papers that have together received 334 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic Associations and Epidemiology (5 papers), Nutrition, Genetics, and Disease (1 paper), Advanced Causal Inference Techniques (1 paper), Hair Growth and Disorders (1 paper), Family Dynamics and Relationships (1 paper) and Animal Behavior and Welfare Studies (1 paper). The work is most often cited by research in Genetics (259 citations), Cancer Research (24 citations), Animal Science and Zoology (13 citations), Agronomy and Crop Science (11 citations) and Plant Science (38 citations). Guiyan Ni has collaborated with scholars based in Australia, Germany and China. Frequent co-authors include Jing Guo, Ying Wang, Jian Yang, Peter M. Visscher, Loïc Yengo, Malena Erbe, Henner Simianer, Sang Lee, D. Cavero and J. H. J. van der Werf. Their work appears in journals such as Nature Communications, Frontiers in Genetics, Briefings in Bioinformatics, Scientific Reports and Advanced Science.

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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