Hong‐Ye Zhao

3.0k citations
82 papers · 1.5k indexed · h-index 21
Topics
CRISPR and Genetic Engineering (13 papers)Animal Genetics and Reproduction (13 papers)Pluripotent Stem Cells Research (8 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Hong‐Ye Zhao

75 papers receiving 1.4k citations

Peers

Hong‐Ye Zhao
Comparison fields: 5 of 112
  • Molecular Biology 878
  • Cancer Research 280
  • Genetics 202
  • Epidemiology 197
  • Surgery 189
Replace Jianling Xie with:
Jianling Xie Australia
Qingbin Kong China
Naresh Babu V. Sepuri India
Qingding Wang United States
Salvatore Panza Italy
Yueh‐Min Lin Taiwan
Xiaoling Zhou China
Michelle Barbi de Moura United States
Valentina Sica France
Hong‐Ye Zhao relative to Jianling Xie Australia Jianling Xie's profile →
Citations per field
00.5×1.5×1.8×
Jianling Xie · 1×
Citations per year

Countries citing papers authored by Hong‐Ye Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Ye Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Ye Zhao. 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 Hong‐Ye Zhao. The network helps show where Hong‐Ye Zhao may publish in the future.

Co-authorship network of co-authors of Hong‐Ye Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Ye Zhao. A scholar is included among the top collaborators of Hong‐Ye Zhao 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 Hong‐Ye Zhao. Hong‐Ye Zhao 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 3
2 4
3 0
4 0
5 1
6 0
7 4
8 6
9 4
10 1
11 7
12 13
13 21
14 1
15 18
16
Evaluation of Cloning Efficiency Based on the Production of ClonedDiannan Miniature Pigs
3
17 73
18 6
19 33
20
Anti-angiogenic effect of 5-Fluorouracil-based drugs against human colon cancer xenografts
3

About Hong‐Ye Zhao

Hong‐Ye Zhao is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Animal Genetics and Reproduction (13 papers) and Pluripotent Stem Cells Research (8 papers). The work is most often cited by research in Cancer Research (280 citations), Molecular Biology (878 citations) and Aging (17 citations). Hong‐Ye Zhao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hong‐Jiang Wei, Xiuqing Huang, Yajun Lin, Yonggang Lu, Jiefu Yang, Yong Man, Dan Gao, Jian Li, Shu Wang and Yubo Qing. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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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