Anna Gan

3.5k citations
16 papers · 452 · h-index 10

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • Epigenetics and DNA Methylation 2
    • Genomics, phytochemicals, and oxidative stress 2
    • Medicinal Plants and Bioactive Compounds 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cancer Genomics and Diagnostics 7

Anna Gan

16 papers receiving 449 citations

Peers

Anna Gan
Comparison fields: 5 of 63
  • Cancer Research 165
  • Nephrology 56
  • Oncology 153
  • Pharmacology 40
  • Pathology and Forensic Medicine 82
Replace Wei Xi with:
Wei Xi China
Yongchang Lai China
Paul M. Nguyen Australia
Takaaki Oba Japan
Juchao Ren China
Yunchang Yuan China
Haiyun Zhao China
Songlin Piao China
Joan E. Trey United States
Anna Gan relative to Wei Xi China Wei Xi's profile →
Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Anna Gan

Since Specialization
Citations

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

Fields of papers citing papers by Anna Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201576
2 201472
3 201069
4 201544
5 201744
6 202144
7 201635
8 202320
9 202418
10 20229
11 20207
12 20236
13 20253
14 20242
15 20232
16 20231

About Anna Gan

Anna Gan is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Surgery and Oncology, having authored 16 papers that have together received 452 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Genetic factors in colorectal cancer (4 papers), Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Medicinal Plants and Bioactive Compounds (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Cancer Research (165 citations), Nephrology (56 citations), Oncology (153 citations), Pharmacology (40 citations) and Pathology and Forensic Medicine (82 citations). Anna Gan has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Patrick Tan, Steve Rozen, Bin Tean Teh, Willie Yu, Iain Beehuat Tan, Choon Kiat Ong, Dachuan Huang, Song Ling Poon, Lian Dee Ler and Hong Lee Heng. Their work appears in journals such as Scientific Reports, Phytomedicine, Journal of Pharmacy and Pharmacology, The Journal of Clinical Endocrinology & Metabolism and Journal of Food Composition and Analysis.

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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