Kit San Yeung

1.3k citations
29 papers · 529 indexed · h-index 13
Topics
Genomics and Rare Diseases (11 papers)Genomic variations and chromosomal abnormalities (10 papers)Genetic Syndromes and Imprinting (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Kidney Diseases
Partner nations
Hong KongChinaCanada

In The Last Decade

Kit San Yeung

29 papers receiving 509 citations

Peers

Kit San Yeung
Comparison fields: 5 of 61
  • Molecular Biology 252
  • Genetics 245
  • Pediatrics, Perinatology and Child Health 65
  • Surgery 57
  • Ophthalmology 50
Replace Nisha Patel with:
Nisha Patel Saudi Arabia
Go Hun Seo South Korea
Gülen Eda Ütine Türkiye
Pelin Özlem Şimşek‐Kiper Türkiye
Deborah Morrogh United Kingdom
Soo‐Mi Park United Kingdom
Ke-Yu Deng China
Hamad Alzaidan Saudi Arabia
Francesco Benedicenti Italy
Esther Kinning United Kingdom
Kit San Yeung relative to Nisha Patel Saudi Arabia Nisha Patel's profile →
Citations per field
00.5×1.5×1.8×
Nisha Patel · 1×
Citations per year

Countries citing papers authored by Kit San Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Kit San Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kit San Yeung. 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 Kit San Yeung. The network helps show where Kit San Yeung may publish in the future.

Co-authorship network of co-authors of Kit San Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Kit San Yeung. A scholar is included among the top collaborators of Kit San Yeung 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 Kit San Yeung. Kit San Yeung 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 11
3 6
4 11
5 5
6 4
7 4
8 48
9 10
10 18
11 8
12 34
13 86
14 26
15 36
16 17
17 6
18 7
19 6
20 10

About Kit San Yeung

Kit San Yeung is a scholar working on Genetics, Genetics and Pediatrics, Perinatology and Child Health, having authored 29 papers that have together received 529 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (11 papers), Genomic variations and chromosomal abnormalities (10 papers) and Genetic Syndromes and Imprinting (4 papers). The work is most often cited by research in Genetics (245 citations), Ophthalmology (50 citations) and Molecular Biology (252 citations). Kit San Yeung has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Brian Hon‐Yin Chung, Christopher Chun Yu Mak, Wanling Yang, Steven Lim Cho Pei, Mullin H.C. Yu, Eranga N. Vithana, Adrian H. Koh, Victor H. K. Yong, Tin Aung and Gordon Leung. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Kidney Diseases.

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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