Benjamin Toh

916 citations
6 papers · 775 · h-index 4

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Cutaneous Melanoma Detection and Management
  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Immune cells in cancer 4
    • Cancer Immunotherapy and Biomarkers 2
    • Cancer Cells and Metastasis 2
    • Chemokine receptors and signaling 1
    • Cutaneous Melanoma Detection and Management 1

Benjamin Toh

6 papers receiving 764 citations

Peers

Benjamin Toh
Comparison fields: 5 of 46
  • Oncology 411
  • Immunology 284
  • Cancer Research 57
  • Ophthalmology 23
  • Modeling and Simulation 8
Replace Dror Alishekevitz with:
Dror Alishekevitz Israel
Denitsa M. Hristova United States
Ethan M. Earlie United States
Anna Chen Australia
Lisa Haas Austria
James L. Sung United States
Zackery A. Ely United States
Sofia M. Shea United States
Susanne Schaten Germany
Marieke I.G. Raaijmakers Switzerland
Benjamin Toh relative to Dror Alishekevitz Israel Dror Alishekevitz's profile →
Citations per field
00.5×2×4×6×7.7×
Dror Alishekevitz · 1×
Citations per year

Countries citing papers authored by Benjamin Toh

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Toh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Benjamin Toh

Benjamin Toh is a scholar working on Immunology, Oncology, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 775 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (2 papers), Chemokine receptors and signaling (1 paper), Melanoma and MAPK Pathways (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Oncology (411 citations), Immunology (284 citations), Cancer Research (57 citations), Ophthalmology (23 citations) and Modeling and Simulation (8 citations). Benjamin Toh has collaborated with scholars based in Singapore, France and Japan. Frequent co-authors include Jean‐Pierre Abastado, Armelle Prévost‐Blondel, Xiaojie Wang, Jo Keeble, Jean Paul Thiery, Wen Jing Sim, Wing C. Wong, Masashi Kato, Michelle Li Wen Hong and Lin Zheng. Their work appears in journals such as Journal of Clinical Investigation, OncoImmunology, Immunologic Research, PLoS Biology and Methods in molecular biology.

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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