Annie Tan

998 citations
18 papers · 724 · h-index 10

Impact in

Papers in

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

Annie Tan

16 papers receiving 709 citations

Peers

Annie Tan
Comparison fields: 5 of 84
  • Obstetrics and Gynecology 101
  • Oncology 182
  • Cancer Research 88
  • Reproductive Medicine 47
  • Molecular Biology 339
Replace Małgorzata Fuksiewicz with:
Małgorzata Fuksiewicz Poland
Lijun Zhang China
Angel Yordanov Bulgaria
Valentina Tuninetti Italy
M Steger United States
Gulden Menderes United States
A. G. van der Zee Netherlands
Ryuta Tanimoto Japan
Limei Yin China
Janine Lombard Australia
Annie Tan relative to Małgorzata Fuksiewicz Poland Małgorzata Fuksiewicz's profile →
Citations per field
00.5×1.5×2.0×
Małgorzata Fuksiewicz · 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 1996145
2 199890
3 200088
4 199986
5 200082
6 201973
7 202045
8 201841
9 201936
10 200814
11 20236
12 20235
13 20244
14 20214
15 20203
16 20232
17 20240
18 20210

About Annie Tan

Annie Tan is a scholar working on Oncology, Molecular Biology, Obstetrics and Gynecology, General Health Professions and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 724 indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (4 papers), Lymphatic System and Diseases (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Nursing Roles and Practices (2 papers), COVID-19 Impact on Reproduction (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Obstetrics and Gynecology (101 citations), Oncology (182 citations), Cancer Research (88 citations), Reproductive Medicine (47 citations) and Molecular Biology (339 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, Cancer and Journal of Biological Chemistry.

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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