Amanda Chan

2.1k citations
36 papers · 1.5k · h-index 22

Impact in

    • Advancements in Transdermal Drug Delivery
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Molecular Biology Techniques and Applications 4
    • Colorectal Cancer Treatments and Studies 5
    • Cancer Cells and Metastasis 3
    • Cancer Immunotherapy and Biomarkers 3

Amanda Chan

36 papers receiving 1.5k citations

Peers

Amanda Chan
Comparison fields: 5 of 136
  • Pharmaceutical Science 136
  • Immunology 342
  • Cancer Research 156
  • Virology 48
  • Neurology 135
Replace Margaret Liu with:
Margaret Liu United States
Ossama Abbas Lebanon
Federica Meloni Italy
Keyvan Nouri United States
Jamil Azzi United States
Piergiacomo Calzavara‐Pinton Italy
Hiroko Tada Japan
Rodney Alexander Rosalia Netherlands
Ji Wang China
E. J. Wills Australia
Amanda Chan relative to Margaret Liu United States Margaret Liu's profile →
Citations per field
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Margaret Liu · 1×
Citations per year

Countries citing papers authored by Amanda Chan

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997249
2 2020180
3 2019111
4 202082
5 200174
6 201965
7 200964
8 202163
9 202155
10 202055
11 202051
12 201447
13 201944
14 201743
15 200943
16 202036
17 201336
18 200234
19 202330
20 202127

About Amanda Chan

Amanda Chan is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Neurology and Epidemiology, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Colorectal Cancer Treatments and Studies (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Molecular Biology Techniques and Applications (4 papers), Cancer Cells and Metastasis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Ocular Surface and Contact Lens (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Pharmaceutical Science (136 citations), Immunology (342 citations), Cancer Research (156 citations), Virology (48 citations) and Neurology (135 citations). Amanda Chan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Akiko Iwasaki, Brian H. Barber, Neil L. Berinstein, Sze Chuen Cesar Wong, Zhen Gu, Guojun Chen, Hin Fung Tsang, William C. Cho, Vivek Gupta and Snehal K. Shukla. Their work appears in journals such as Expert Review of Molecular Diagnostics, Archives of Pathology & Laboratory Medicine, Oncotarget, Clinical Cancer Research and Scientific Reports.

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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