Anna Gan
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Nephrology top 10%
- Parathyroid Disorders and Treatments
Papers in
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- Cancer Genomics and Diagnostics 5
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- Single-cell and spatial transcriptomics 3
- Epigenetics and DNA Methylation 1
- Medicinal Plants and Bioactive Compounds 1
- Co-authors
- Steve Rozen (6 shared papers)Patrick Tan (6 shared papers)Bin Tean Teh (4 shared papers)Willie Yu (3 shared papers)Iain Beehuat Tan (6 shared papers)Choon Kiat Ong (3 shared papers)Hong Lee Heng (2 shared papers)Song Ling Poon (2 shared papers)
- Journals
- Phytomedicine (3 papers)Journal of Pharmacy and Pharmacology (2 papers)Scientific Reports (2 papers)Molecular Oncology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Anna Gan
16 papers receiving 473 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 161
- Nephrology 61
- Oncology 128
- Pathology and Forensic Medicine 71
- Pharmacology 35
Countries citing papers authored by Anna Gan
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 78 | |
| 2 | 2014 | 77 | |
| 3 | 2010 | 69 | |
| 4 | 2021 | 50 | |
| 5 | 2015 | 47 | |
| 6 | 2017 | 46 | |
| 7 | 2016 | 36 | |
| 8 | 2024 | 20 | |
| 9 | 2023 | 20 | |
| 10 | 2022 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2025 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 0 | |
| 18 | 2015 | 0 |
About Anna Gan
Anna Gan is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Surgery and Oncology, having authored 18 papers that have together received 478 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Mechanisms and Therapy (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Epigenetics and DNA Methylation (1 paper), Testicular diseases and treatments (1 paper) and Medicinal Plants and Bioactive Compounds (1 paper). The work is most often cited by research in Cancer Research (161 citations), Nephrology (61 citations), Oncology (128 citations), Pathology and Forensic Medicine (71 citations) and Pharmacology (35 citations). Anna Gan has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Steve Rozen, Patrick Tan, Bin Tean Teh, Willie Yu, Iain Beehuat Tan, Choon Kiat Ong, Hong Lee Heng, Song Ling Poon, John R. McPherson and Dachuan Huang. Their work appears in journals such as Phytomedicine, Journal of Pharmacy and Pharmacology, Scientific Reports, Molecular Oncology and The Journal of Clinical Endocrinology & Metabolism.
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.