Yangyang Bai

439 citations
34 papers · 297 · h-index 12

Impact in

    • Phytochemicals and Antioxidant Activities
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Animal Genetics and Reproduction

Papers in

    • Genetic and phenotypic traits in livestock 11
    • Genetic Mapping and Diversity in Plants and Animals 6
    • Animal Genetics and Reproduction 5
    • RNA modifications and cancer 4

Yangyang Bai

30 papers receiving 293 citations

Peers

Yangyang Bai
Comparison fields: 5 of 51
  • Biochemistry 36
  • Genetics 134
  • Agronomy and Crop Science 41
  • Cancer Research 54
  • Plant Science 78
Replace A. Iannuzzi with:
A. Iannuzzi Italy
Rayner González-Prendes Spain
Bin Han China
Tomohiko Komatsu Japan
Sang-Je Park South Korea
Abdolreza Salehi Iran
Pingxi Wang China
Shaoke Guo China
Jinwang Liu China
Junting Cao China
Yangyang Bai relative to A. Iannuzzi Italy A. Iannuzzi's profile →
Citations per field
00.5×3.6×
A. Iannuzzi · 1×
Citations per year

Countries citing papers authored by Yangyang Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yangyang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202050
2 201935
3 202118
4 202016
5 202115
6 201714
7 202212
8 202412
9 202112
10 201912
11 202212
12 202211
13 20228
14 20238
15 20227
16 20227
17 20237
18 20217
19 20246
20 20216

About Yangyang Bai

Yangyang Bai is a scholar working on Genetics, Molecular Biology, Plant Science, Cancer Research and Food Science, having authored 34 papers that have together received 297 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (11 papers), Cancer-related molecular mechanisms research (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Fermentation and Sensory Analysis (6 papers), Horticultural and Viticultural Research (5 papers), Animal Genetics and Reproduction (5 papers), RNA modifications and cancer (4 papers) and Phytochemicals and Antioxidant Activities (4 papers). The work is most often cited by research in Biochemistry (36 citations), Genetics (134 citations), Agronomy and Crop Science (41 citations), Cancer Research (54 citations) and Plant Science (78 citations). Yangyang Bai has collaborated with scholars based in China, Nepal and Mongolia. Frequent co-authors include Xianyong Lan, Lei Qu, Haijing Zhu, Chuanying Pan, Xiaoyue Song, Longping Li, Zihong Kang, Jinwang Liu, Pengfei Wang and Lijie Qin. Their work appears in journals such as Animals, Journal of Food Composition and Analysis, Theriogenology, Frontiers in Veterinary Science and Scientific Reports.

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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