Andrew E. Tee

1.5k citations
18 papers · 909 · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
  • Neurology top 10%
    • Neuroblastoma Research and Treatments

Papers in

    • Protein Degradation and Inhibitors 6
    • Histone Deacetylase Inhibitors Research 4
    • RNA modifications and cancer 2
    • Epigenetics and DNA Methylation 2
    • Cancer-related gene regulation 2
    • Neuroblastoma Research and Treatments 10

Andrew E. Tee

18 papers receiving 902 citations

Peers

Andrew E. Tee
Comparison fields: 5 of 60
  • Cancer Research 373
  • Neurology 179
  • Molecular Biology 746
  • Oncology 133
  • Pulmonary and Respiratory Medicine 89
Replace Marli E. Ebus with:
Marli E. Ebus Netherlands
Yasumichi Kuwahara Japan
Samuele Gherardi Italy
Katia Balmas Bourloud Switzerland
Kristina Althoff Germany
Mark W. Zimmerman United States
JulieAnn Rader United States
Olesya Chayka United Kingdom
Andrew E. Tee relative to Marli E. Ebus Netherlands Marli E. Ebus's profile →
Citations per field
00.5×1.5×2.3×
Marli E. Ebus · 1×
Citations per year

Countries citing papers authored by Andrew E. Tee

Since Specialization
Citations

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

Fields of papers citing papers by Andrew E. Tee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew E. Tee. 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 Andrew E. Tee. The network helps show where Andrew E. Tee may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2006199
2 201497
3 201592
4 201489
5 200788
6 201459
7 201753
8 200944
9 200933
10 202027
11 200725
12 201823
13 201422
14 202120
15 201619
16 201716
17 20152
18 20161

About Andrew E. Tee

Andrew E. Tee is a scholar working on Molecular Biology, Neurology, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 909 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (10 papers), Cancer, Hypoxia, and Metabolism (7 papers), Protein Degradation and Inhibitors (6 papers), Cancer-related molecular mechanisms research (5 papers), Histone Deacetylase Inhibitors Research (4 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (373 citations), Neurology (179 citations), Molecular Biology (746 citations), Oncology (133 citations) and Pulmonary and Respiratory Medicine (89 citations). Andrew E. Tee has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Tao Liu, Glenn M. Marshall, Pei Y. Liu, Michelle Haber, Murray D. Norris, Bernard Atmadibrata, Bing Liu, Belamy B. Cheung, Matthew Wong and Marcel E. Dinger. Their work appears in journals such as Oncotarget, Cancer Research, International Journal of Cancer, Proceedings of the National Academy of Sciences and JNCI Journal of the National Cancer Institute.

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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