Kangle Yi

409 citations
28 papers · 287 indexed · h-index 10
Co-authors
Xu ZhouChao ChenWei ZhangHaifeng YanChunjin LiShuxiong ChenNan WangYang Luo
Topics
Genetic and phenotypic traits in livestock (9 papers)Cancer-related molecular mechanisms research (7 papers)Livestock Farming and Management (5 papers)
Partner nations
ChinaPakistanIndia

In The Last Decade

Kangle Yi

27 papers receiving 283 citations

Peers

Kangle Yi
Comparison fields: 5 of 76
  • Reproductive Medicine 97
  • Public Health, Environmental and Occupational Health 90
  • Molecular Biology 81
  • Genetics 72
  • Agronomy and Crop Science 40
Replace Tesfaye Worku with:
Tesfaye Worku China
Lukáš Děd Czechia
S. Tyagi India
Seonggyu Bang South Korea
Marzena Mogielnicka-Brzozowska Poland
Anaïs Vitorino Carvalho France
Michiko Noguchi Japan
Marcelo Tigre Moura Brazil
Benjamin J. Hale United States
W. T. K. Cheng Taiwan
Kangle Yi relative to Tesfaye Worku China Tesfaye Worku's profile →
Citations per field
00.5×12×
Tesfaye Worku · 1×
Citations per year

Countries citing papers authored by Kangle Yi

Since Specialization
Citations

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

Fields of papers citing papers by Kangle Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangle Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Kangle Yi. A scholar is included among the top collaborators of Kangle Yi 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 Kangle Yi. Kangle Yi 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 0
3 1
4 11
5 2
6 4
7 5
8 17
9 4
10 1
11 10
12 14
13 5
14 8
15 15
16 34
17 55
18 11
19 2
20 2

About Kangle Yi

Kangle Yi is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Cancer Research, having authored 28 papers that have together received 287 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (9 papers), Cancer-related molecular mechanisms research (7 papers) and Livestock Farming and Management (5 papers). The work is most often cited by research in Reproductive Medicine (97 citations), Agronomy and Crop Science (40 citations) and Physiology (14 citations). Kangle Yi has collaborated with scholars based in China, Pakistan and India. Frequent co-authors include Xu Zhou, Xu Zhou, Chao Chen, Wei Zhang, Haifeng Yan, Wei Zhang, Chunjin Li, Shuxiong Chen, Nan Wang and Yang Luo. Their work appears in journals such as The Science of The Total Environment, Journal of Agricultural and Food Chemistry and Critical Reviews in Food Science and Nutrition.

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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