Beide Fu

1.3k citations
38 papers · 1.0k · h-index 19

Impact in

    • Aquaculture Nutrition and Growth
  • Physiology top 2%
    • Reproductive biology and impacts on aquatic species

Papers in

    • Genetic and phenotypic traits in livestock 12
    • Genetic Mapping and Diversity in Plants and Animals 9
    • Genetic diversity and population structure 8
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 7

Beide Fu

38 papers receiving 994 citations

Peers

Beide Fu
Comparison fields: 5 of 84
  • Aquatic Science 298
  • Physiology 114
  • Genetics 446
  • Cancer Research 161
  • Immunology 167
Replace Zhongdian Dong with:
Zhongdian Dong China
Zidong Liu China
Liqun Liang China
Angèle Tingaud‐Sequeira France
L. C. Lo Singapore
Chunyan Ma China
Zhi He China
Shuhong Wang China
Amaury de Luze France
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Citations per field
00.5×2.8×
Zhongdian Dong · 1×
Citations per year

Countries citing papers authored by Beide Fu

Since Specialization
Citations

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

Fields of papers citing papers by Beide Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201785
2 200683
3 201678
4 201674
5 201257
6 201856
7 201743
8 201341
9 200240
10 201035
11 202030
12 201330
13 201629
14 201927
15 201727
16 201224
17 201722
18 201421
19 199821
20 201816

About Beide Fu

Beide Fu is a scholar working on Genetics, Molecular Biology, Cancer Research, Aquatic Science and Ecology, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (12 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Genetic diversity and population structure (8 papers), Aquaculture Nutrition and Growth (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), MicroRNA in disease regulation (6 papers), Aquaculture disease management and microbiota (5 papers) and Reproductive biology and impacts on aquatic species (4 papers). The work is most often cited by research in Aquatic Science (298 citations), Physiology (114 citations), Genetics (446 citations), Cancer Research (161 citations) and Immunology (167 citations). Beide Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jingou Tong, Xiaomu Yu, Haiyang Liu, Meixia Pang, Ying Zhou, Shunping He, Xiu Feng, Xinhua Wang, Ming Zou and Liandong Yang. Their work appears in journals such as Aquaculture, BMC Genomics, Scientific Reports, Frontiers in Genetics and DNA Research.

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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