Anna Cheung

1.9k citations
28 papers · 1.6k · h-index 21

Impact in

Papers in

Anna Cheung

28 papers receiving 1.6k citations

Peers

Anna Cheung
Comparison fields: 5 of 132
  • Complementary and alternative medicine 436
  • Pharmacology 170
  • Pharmacology 259
  • Gender Studies 96
  • Biochemistry 47
Replace Kuan‐Chou Chen with:
Kuan‐Chou Chen Taiwan
Mei‐Hsien Lee Taiwan
Mohammad Afzal India
Zhan‐Xin Zhang China
Xiaomeng Zhang China
Jun Xiang China
Tomohisa Hattori Japan
Eun‐Hee Park South Korea
Andries S. Koster Netherlands
Vanderlei Folmer Brazil
Anna Cheung relative to Kuan‐Chou Chen Taiwan Kuan‐Chou Chen's profile →
Citations per field
00.5×4.2×
Kuan‐Chou Chen · 1×
Citations per year

Countries citing papers authored by Anna Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Anna Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004341
2 2007156
3 2006140
4 2011108
5 200989
6 201181
7 200868
8 201067
9 200666
10 200964
11 200664
12 200849
13 200745
14 201642
15 200940
16 201039
17 200727
18 201124
19 201024
20 200921

About Anna Cheung

Anna Cheung is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Pharmacology and Plant Science, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (11 papers), Ginseng Biological Effects and Applications (7 papers), Phytochemistry and Biological Activities (4 papers), Medicinal Plant Pharmacodynamics Research (4 papers), Natural product bioactivities and synthesis (3 papers), Plant-based Medicinal Research (3 papers), Phosphodiesterase function and regulation (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Complementary and alternative medicine (436 citations), Pharmacology (170 citations), Pharmacology (259 citations), Gender Studies (96 citations) and Biochemistry (47 citations). Anna Cheung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Karl Wah Keung Tsim, Susan T. Fiske, Jun Li, Virginia S. Y. Kwan, Monica H. Lin, Roy C.Y. Choi, Tina Ting-Xia Dong, Qiu Gao, Tina T. X. Dong and Ran Duan. Their work appears in journals such as Planta Medica, Journal of Agricultural and Food Chemistry, Chemico-Biological Interactions, Journal of Ethnopharmacology and Journal of Separation Science.

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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