Jinluan Fu

460 citations
17 papers · 303 · h-index 12

Impact in

    • Reproductive Physiology in Livestock
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 5
    • Genetic and phenotypic traits in livestock 5
    • Reproductive Physiology in Livestock 2

Jinluan Fu

17 papers receiving 303 citations

Peers

Jinluan Fu
Comparison fields: 5 of 53
  • Agronomy and Crop Science 62
  • Genetics 157
  • Cancer Research 58
  • Small Animals 26
  • Animal Science and Zoology 32
Replace A. Ruść with:
A. Ruść Poland
K. L. DeAtley United States
L A Messer United States
H. van der Steen Australia
E Guangxin China
Kensuke Hirose Japan
Zitao Chen China
Rayner González-Prendes Spain
Moon-Suck Ko South Korea
Guiqiong Liu China
Jinluan Fu relative to A. Ruść Poland A. Ruść's profile →
Citations per field
00.5×1.5×
A. Ruść · 1×
Citations per year

Countries citing papers authored by Jinluan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jinluan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201842
2 201640
3 201737
4 201434
5 201025
6 201716
7 201216
8 201615
9 202114
10 201113
11 201112
12 201012
13 20187
14 20176
15 20106
16 20125
17 20113

About Jinluan Fu

Jinluan Fu is a scholar working on Genetics, Agronomy and Crop Science, Immunology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 303 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (5 papers), Axon Guidance and Neuronal Signaling (3 papers), Reproductive System and Pregnancy (3 papers), Animal Behavior and Welfare Studies (2 papers), Reproductive Physiology in Livestock (2 papers), Cancer-related molecular mechanisms research (2 papers) and Apelin-related biomedical research (2 papers). The work is most often cited by research in Agronomy and Crop Science (62 citations), Genetics (157 citations), Cancer Research (58 citations), Small Animals (26 citations) and Animal Science and Zoology (32 citations). Jinluan Fu has collaborated with scholars based in China, Indonesia and Denmark. Frequent co-authors include Aiguo Wang, Aiguo Wang, Jianfeng Liu, Minhui Chen, Qian Ren, Shu Guan, Ying Wu, Xiao Chen, Yanping Wang and Jiying Wang. Their work appears in journals such as Molecular Biology Reports, Scientific Reports, Evolutionary Applications, BMC Genetics and Gene.

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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