E‐Jean Tan

1.0k citations
13 papers · 814 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

    • Cancer Cells and Metastasis 9
    • Cancer-related Molecular Pathways 2
    • Epigenetics and DNA Methylation 2
    • Protein Tyrosine Phosphatases 2
    • Protein Kinase Regulation and GTPase Signaling 2

E‐Jean Tan

12 papers receiving 810 citations

Peers

E‐Jean Tan
Comparison fields: 5 of 72
  • Cancer Research 224
  • Oncology 259
  • Molecular Biology 553
  • Immunology and Allergy 33
  • Genetics 49
Replace Miranda van Amersfoort with:
Miranda van Amersfoort Netherlands
Shiwu Wu China
Jonathan Perk United States
Yin Xu United States
Daniel Novak Germany
Sergio Anastasi Italy
Kohzoh Imai Japan
Antonio Díaz‐López Spain
Rinat Keren United States
Shahin Rafii United States
E‐Jean Tan relative to Miranda van Amersfoort Netherlands Miranda van Amersfoort's profile →
Citations per field
00.5×1.5×
Miranda van Amersfoort · 1×
Citations per year

Countries citing papers authored by E‐Jean Tan

Since Specialization
Citations

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

Fields of papers citing papers by E‐Jean Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2008291
2 2002106
3 201297
4 201464
5 201459
6 201151
7 201838
8 201237
9 200828
10 201821
11 202217
12 20195
13
High LGR5 expression in proneural glioblastoma cells contributes to increased self-renewal and invasiveness
20160

About E‐Jean Tan

E‐Jean Tan is a scholar working on Oncology, Molecular Biology, Genetics, Genetics and Cancer Research, having authored 13 papers that have together received 814 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Glioma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (2 papers), Digestive system and related health (2 papers), Protein Tyrosine Phosphatases (2 papers), Cancer-related Molecular Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cancer Research (224 citations), Oncology (259 citations), Molecular Biology (553 citations), Immunology and Allergy (33 citations) and Genetics (49 citations). E‐Jean Tan has collaborated with scholars based in Sweden, Singapore and Spain. Frequent co-authors include Aristidis Moustakas, Carl‐Henrik Heldin, Sylvie Thuault, Héctor Peinado, Amparo Cano, Louis Lim, Cheng-Gee Koh, Edward Manser, Anna-Karin Olsson and Laia Caja. Their work appears in journals such as Journal of Biological Chemistry, Cancer Letters, Nature Communications, Current Biology and Journal of Cell Science.

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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