Anna Gan

3.5k total citations
16 papers, 452 citations indexed

About

Anna Gan is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Anna Gan has authored 16 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Anna Gan's work include Cancer Genomics and Diagnostics (7 papers), Genetic factors in colorectal cancer (4 papers) and Single-cell and spatial transcriptomics (3 papers). Anna Gan is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Genetic factors in colorectal cancer (4 papers) and Single-cell and spatial transcriptomics (3 papers). Anna Gan collaborates with scholars based in Singapore, China and United States. Anna Gan's co-authors include Patrick Tan, Steve Rozen, Bin Tean Teh, Willie Yu, Choon Kiat Ong, Iain Beehuat Tan, Lian Dee Ler, Hong Lee Heng, Song Ling Poon and Dachuan Huang and has published in prestigious journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Anna Gan

16 papers receiving 449 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna Gan Singapore 10 180 165 153 86 82 16 452
Wei Xi China 14 244 1.4× 120 0.7× 138 0.9× 163 1.9× 36 0.4× 38 473
Paul M. Nguyen Australia 13 220 1.2× 73 0.4× 172 1.1× 63 0.7× 26 0.3× 15 511
Takaaki Oba Japan 16 177 1.0× 73 0.4× 425 2.8× 85 1.0× 37 0.5× 45 716
Yongchang Lai China 13 277 1.5× 140 0.8× 101 0.7× 260 3.0× 29 0.4× 37 505
Adnan Merdad Saudi Arabia 11 268 1.5× 178 1.1× 120 0.8× 43 0.5× 35 0.4× 27 489
Dominik Głodzik United Kingdom 9 247 1.4× 266 1.6× 151 1.0× 45 0.5× 181 2.2× 15 552
Juchao Ren China 14 225 1.3× 107 0.6× 61 0.4× 63 0.7× 47 0.6× 25 374
Chao‐Tao Tang China 12 190 1.1× 88 0.5× 107 0.7× 130 1.5× 47 0.6× 30 410
Tamara Severi Belgium 9 198 1.1× 85 0.5× 99 0.6× 38 0.4× 36 0.4× 10 604

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-authorship network of co-authors of Anna Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Gan. A scholar is included among the top collaborators of Anna Gan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Gan. Anna Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
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Gan, Anna, et al.. (2024). Rhein induces apoptosis of AGS and MGC803 cells by regulating the Ras/PI3K/AKT and p38/MAPK signaling pathway. Journal of Pharmacy and Pharmacology. 77(6). 783–793. 2 indexed citations
6.
Benson, Gretchen, et al.. (2023). Fourth Trimester: Assessing Women’s Health Equity and Long-Term Cardiovascular Outcomes in a Large Midwestern Health System in 2021. Circulation Cardiovascular Quality and Outcomes. 17(1). e010157–e010157. 1 indexed citations
8.
Cheruba, Elsie, Ramya Viswanathan, Pui‐Mun Wong, et al.. (2022). Heat selection enables highly scalable methylome profiling in cell-free DNA for noninvasive monitoring of cancer patients. Science Advances. 8(36). eabn4030–eabn4030. 9 indexed citations
9.
Zhu, Guanhua, Yu Amanda Guo, Polly Poon, et al.. (2021). Tissue-specific cell-free DNA degradation quantifies circulating tumor DNA burden. Nature Communications. 12(1). 2229–2229. 44 indexed citations
10.
Kleftogiannis, Dimitrios, Polly Poon, Anna Gan, et al.. (2020). Detection of genomic alterations in breast cancer with circulating tumour DNA sequencing. Scientific Reports. 10(1). 16774–16774. 7 indexed citations
11.
Chua, Clarinda, Matthew Chau Hsien Ng, Anna Gan, et al.. (2017). Individualised multiplexed circulating tumour DNA assays for monitoring of tumour presence in patients after colorectal cancer surgery. Scientific Reports. 7(1). 40737–40737. 44 indexed citations
12.
Suzuki, Yuka, Clarinda Chua, Wei Qiang Leow, et al.. (2016). Multiregion ultra‐deep sequencing reveals early intermixing and variable levels of intratumoral heterogeneity in colorectal cancer. Molecular Oncology. 11(2). 124–139. 35 indexed citations
13.
Cutcutache, Ioana, Yuka Suzuki, Iain Beehuat Tan, et al.. (2015). Exome-wide Sequencing Shows Low Mutation Rates and Identifies Novel Mutated Genes in Seminomas. European Urology. 68(1). 77–83. 44 indexed citations
14.
Poon, Song Ling, Mi Ni Huang, John R. McPherson, et al.. (2015). Mutation signatures implicate aristolochic acid in bladder cancer development. Genome Medicine. 7(1). 38–38. 76 indexed citations
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Zang, Zhi Jiang, Choon Kiat Ong, Ioana Cutcutache, et al.. (2010). Genetic and Structural Variation in the Gastric Cancer Kinome Revealed through Targeted Deep Sequencing. Cancer Research. 71(1). 29–39. 69 indexed citations

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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