Andrew E. Tee

1.5k citations
23 papers · 1.3k · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
  • Neurology top 5%
    • Neuroblastoma Research and Treatments

Papers in

Andrew E. Tee

23 papers receiving 1.2k citations

Peers

Andrew E. Tee
Comparison fields: 5 of 59
  • Cancer Research 368
  • Neurology 256
  • Molecular Biology 511
  • Oncology 113
  • Genetics 24
Replace Daniel R. Carter with:
Daniel R. Carter Australia
Mark W. Zimmerman United States
Theresa Thor Germany
Mike R. Russell United States
Amanda Balboni Iniguez United States
Giulia Guzzo Italy
Noelle E. Huskey United States
Edmond Chipumuro United States
Chao Dai United States
Andrew E. Tee relative to Daniel R. Carter Australia Daniel R. Carter's profile →
Citations per field
00.5×1.5×1.9×
Daniel R. Carter · 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

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006202
2 2014108
3 2014104
4 201597
5 200791
6 201589
7 201980
8 201974
9 201766
10 201462
11 200945
12 200935
13 202030
14 200728
15 201425
16 201825
17 202024
18 201623
19 202122
20 201717

About Andrew E. Tee

Andrew E. Tee is a scholar working on Neurology, Cancer Research, Oncology, Molecular Biology and Nuclear Energy and Engineering, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (13 papers), Cancer-related molecular mechanisms research (6 papers), Histone Deacetylase Inhibitors Research (4 papers), Cancer-related Molecular Pathways (2 papers), Ubiquitin and proteasome pathways (1 paper), Protein Degradation and Inhibitors (1 paper), Genomics and Chromatin Dynamics (1 paper) and Clusterin in disease pathology (1 paper). The work is most often cited by research in Cancer Research (368 citations), Neurology (256 citations), Molecular Biology (511 citations), Oncology (113 citations) and Genetics (24 citations). Andrew E. Tee has collaborated with scholars based in Australia, Italy and China. Frequent co-authors include Tao Liu, Glenn M. Marshall, Pei Yan Liu, Michelle Haber, Murray D. Norris, Bernard Atmadibrata, Bing Liu, Belamy B. Cheung, Marcel E. Dinger and Matthew Wong. Their work appears in journals such as Oncotarget, Nature Communications, Cancer Research, International Journal of Cancer and International Journal of Oncology.

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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