Kitty Cheung

707 citations
9 papers · 306 · h-index 7

Impact in

Papers in

Kitty Cheung

9 papers receiving 293 citations

Peers

Kitty Cheung
Comparison fields: 5 of 62
  • Endocrinology, Diabetes and Metabolism 111
  • Animal Science and Zoology 35
  • Cancer Research 20
  • Nephrology 9
  • Hematology 14
Replace Luiz Carlos da Costa Gayotto with:
Luiz Carlos da Costa Gayotto Brazil
Li Jing China
Woo Yeong Park South Korea
Leili Rahimi United States
Bianca Senger Vasconcelos Barros Brazil
Anna Rosa Soresina Italy
Samer R. Khan Netherlands
Mikio Sugano Japan
Patricia Lemieux Canada
Martina Goffredo Italy
Kitty Cheung relative to Luiz Carlos da Costa Gayotto Brazil Luiz Carlos da Costa Gayotto's profile →
Citations per field
00.5×5.8×
Luiz Carlos da Costa Gayotto · 1×
Citations per year

Countries citing papers authored by Kitty Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Kitty Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2014115
2 201455
3 199244
4 200233
5 201125
6 201719
7 20169
8 20184
9 20192

About Kitty Cheung

Kitty Cheung is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Aquatic Science and Animal Science and Zoology, having authored 9 papers that have together received 306 indexed citations. Recurring topics across this work include Diabetes Management and Research (1 paper), Gut microbiota and health (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Protease and Inhibitor Mechanisms (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper), S100 Proteins and Annexins (1 paper), Animal Nutrition and Physiology (1 paper) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (111 citations), Animal Science and Zoology (35 citations), Cancer Research (20 citations), Nephrology (9 citations) and Hematology (14 citations). Kitty Cheung has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Risa Ozaki, Juliana C.N. Chan, Alice P.S. Kong, Ronald C.W., Andrea O. Y. Luk, Xilin Yang, Eric S. H. Lau, Francis C. C. Chow, A. O. Ajuyah and Wing‐Yee So. Their work appears in journals such as Journal of the American Medical Directors Association, Biochemistry, The American Journal of Medicine, Nephrology Dialysis Transplantation and Diabetes/Metabolism Research and Reviews.

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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