Annie Tan

1.0k citations
18 papers · 747 · h-index 10

Impact in

Papers in

    • Lymphatic System and Diseases 2
    • PI3K/AKT/mTOR signaling in cancer 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Cell death mechanisms and regulation 2
    • RNA and protein synthesis mechanisms 1

Annie Tan

17 papers receiving 735 citations

Peers

Annie Tan
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 94
  • Oncology 161
  • Cancer Research 76
  • Molecular Biology 325
  • Psychiatry and Mental health 39
Replace Kar Fai Tam with:
Kar Fai Tam Hong Kong
Ritsuto Fujiwaki Japan
Bella Pajares Spain
Bong Ryoul Oh United States
A. G. van der Zee Netherlands
Eva Morán Italy
Munveer S. Bhangoo United States
Xiaoling Weng China
Ioannis Zerdes Sweden
Loredana Miglietta Italy
Annie Tan relative to Kar Fai Tam Hong Kong Kar Fai Tam's profile →
Citations per field
00.5×2.6×
Kar Fai Tam · 1×
Citations per year

Countries citing papers authored by Annie Tan

Since Specialization
Citations

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

Fields of papers citing papers by Annie Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1996144
2 199890
3 200088
4 199986
5 200082
6 201977
7 202049
8 201846
9 201939
10 200814
11 20238
12 20236
13 20215
14 20245
15 20234
16 20203
17 20241
18 20210

About Annie Tan

Annie Tan is a scholar working on Oncology, Molecular Biology, Obstetrics and Gynecology, Surgery and General Health Professions, having authored 18 papers that have together received 747 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cell death mechanisms and regulation (2 papers), Lymphatic System and Diseases (2 papers), Maternal and Perinatal Health Interventions (2 papers), Cancer Mechanisms and Therapy (1 paper), Endometrial and Cervical Cancer Treatments (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Obstetrics and Gynecology (94 citations), Oncology (161 citations), Cancer Research (76 citations), Molecular Biology (325 citations) and Psychiatry and Mental health (39 citations). Annie Tan has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Peter B. Bitterman, Vitaly A. Polunovsky, Nahum Sonenberg, Jeffrey B. Rubins, Mark S. Peterson, James G. White, Igor B. Rosenwald, Robert A. Kratzke, H. Levrey and J. Carlos Manivel. Their work appears in journals such as BMC Pregnancy and Childbirth, Gynecologic Oncology, American Journal of Respiratory and Critical Care Medicine, Oncogene and Developmental Medicine & Child Neurology.

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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