Yu Gao

3.9k citations
156 papers · 2.6k indexed · h-index 27
Topics
Genetic Mapping and Diversity in Plants and Animals (11 papers)Molecular Sensors and Ion Detection (11 papers)Genetic and phenotypic traits in livestock (9 papers)
Journals
Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Yu Gao

143 papers receiving 2.5k citations

Peers

Yu Gao
Comparison fields: 5 of 151
  • Molecular Biology 793
  • Genetics 407
  • Physiology 356
  • Epidemiology 312
  • Cancer Research 296
Replace James M. Mullin with:
James M. Mullin United States
Qiao Li China
Kathy Zimmerman United States
Qinghua Chen China
Marica Bakovic Canada
Yoshiaki Tabuchi Japan
Xiaochun Zhu United States
Yuxiang Wang China
Jie Cheng China
Yu Gao relative to James M. Mullin United States James M. Mullin's profile →
Citations per field
00.5×3.2×
James M. Mullin · 1×
Citations per year

Countries citing papers authored by Yu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Gao. A scholar is included among the top collaborators of Yu Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Gao. Yu Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 0
4 0
5 2
6 20
7 0
8 9
9 7
10 6
11 6
12 6
13 9
14 0
15 13
16 43
17 8
18 232
19
[Relationship between risk of childhood acute leukemia and children's and parents' lifestyles and household environment exposure].
4
20
[Expression of bcl-2, bax and p53 protein in the basal cell carcinoma].
4

About Yu Gao

Yu Gao is a scholar working on Biochemistry, Cancer Research and Animal Science and Zoology, having authored 156 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Molecular Sensors and Ion Detection (11 papers) and Genetic and phenotypic traits in livestock (9 papers). The work is most often cited by research in Animal Science and Zoology (259 citations), Biochemistry (169 citations) and Cancer Research (296 citations). Yu Gao has collaborated with scholars based in China, United States and France. Frequent co-authors include Lan Tan, Jin‐Tai Yu, Lin Tan, Xiaoxiang Hu, David Nelson, Chi–Liang Eric Yen, Feng Wang, Jian Zhou, Ning Li and Ran Zhang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

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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