Lynnette Koh

496 citations
9 papers · 397 · h-index 7

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Protein Degradation and Inhibitors
    • Glycosylation and Glycoproteins Research
    • Ubiquitin and proteasome pathways
    • Genomics and Chromatin Dynamics

Papers in

    • Glioma Diagnosis and Treatment 8
    • Protein Degradation and Inhibitors 1
    • Redox biology and oxidative stress 1
    • Genomics and Chromatin Dynamics 1

Lynnette Koh

9 papers receiving 392 citations

Peers

Lynnette Koh
Comparison fields: 5 of 34
  • Genetics 152
  • Molecular Biology 187
  • Cancer Research 25
  • Neurology 22
  • Oncology 33
Replace Takashi Tsujiuchi with:
Takashi Tsujiuchi Japan
Nujsaubnusi Cassandra Vue United States
Subbaiah Chary Nimmagadda Germany
Rodolfo Sirito Italy
Małgorzata Szybka Poland
E. Lorena Mora‐Blanco United States
Stavros Polyzoidis United Kingdom
Aaminah Khan Australia
József Virga Hungary
Jinhai Guo China
Lynnette Koh relative to Takashi Tsujiuchi Japan Takashi Tsujiuchi's profile →
Citations per field
00.5×2×3×3.5×
Takashi Tsujiuchi · 1×
Citations per year

Countries citing papers authored by Lynnette Koh

Since Specialization
Citations

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

Fields of papers citing papers by Lynnette Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201890
2 201986
3 201277
4 201568
5 202128
6 201324
7 202219
8 20243
9 20252

About Lynnette Koh

Lynnette Koh is a scholar working on Genetics, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 9 papers that have together received 397 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Protein Degradation and Inhibitors (1 paper), Redox biology and oxidative stress (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Genetics (152 citations), Molecular Biology (187 citations), Cancer Research (25 citations), Neurology (22 citations) and Oncology (33 citations). Lynnette Koh has collaborated with scholars based in Singapore, United States and Japan. Frequent co-authors include Yuk Kien Chong, Carol Tang, Edwin Sandanaraj, Beng Ti Ang, Wai Hoe Ng, Nguan Soon Tan, See Wee Lim, Joanna Dawn Holbrook, Patrick B. O. Tan and Beng-Ti Ang. Their work appears in journals such as Neuro-Oncology, Nature Communications, Science Advances, JNCI Journal of the National Cancer Institute and Cancer Research.

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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