Thao Nheu

1.1k citations
16 papers · 905 · h-index 15

Impact in

  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions
    • Cancer-related Molecular Pathways
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • TGF-β signaling in diseases 5
    • Protein Kinase Regulation and GTPase Signaling 4
    • Glycosylation and Glycoproteins Research 1
    • Cancer-related Molecular Pathways 2
    • Cytokine Signaling Pathways and Interactions 2

Thao Nheu

16 papers receiving 887 citations

Peers

Thao Nheu
Comparison fields: 5 of 83
  • Oncology 282
  • Immunology 204
  • Molecular Biology 490
  • Cancer Research 95
  • Immunology and Allergy 31
Replace Y.H. Tan with:
Y.H. Tan Singapore
Rudolf Mihalik Hungary
H Hirai Japan
In Seong Choe South Korea
Stuart A. Berger Canada
Yulian Niu Canada
Kathryn Schubert United States
Kevin G. Mark United States
Linda Fong United States
Thao Nheu relative to Y.H. Tan Singapore Y.H. Tan's profile →
Citations per field
00.5×10×15×
Y.H. Tan · 1×
Citations per year

Countries citing papers authored by Thao Nheu

Since Specialization
Citations

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

Fields of papers citing papers by Thao Nheu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005260
2 2000145
3 2001108
4 201272
5 200461
6 200259
7 200632
8 201531
9 200023
10 200123
11 200122
12 201522
13 201117
14
Rho family-associated kinases PAK1 and rock.
200315
15 200314
16 20021

About Thao Nheu

Thao Nheu is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cell Biology and Organic Chemistry, having authored 16 papers that have together received 905 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Microtubule and mitosis dynamics (2 papers), Cancer-related Molecular Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Glycosylation and Glycoproteins Research (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Oncology (282 citations), Immunology (204 citations), Molecular Biology (490 citations), Cancer Research (95 citations) and Immunology and Allergy (31 citations). Thao Nheu has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Hiroshi Maruta, Hong‐Jian Zhu, Hong He, Bo Wang, Yumiko Hirokawa, Paul R. Gilson, Peter L. Beech, Geoffrey I. McFadden, Thomas F. Schultz and Trevor Lithgow. Their work appears in journals such as Molecular Cancer, The Journal of Immunology, Oncogene, Cancer Biology & Therapy and Cell Cycle.

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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