Benjamin Toh
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 6
- Cancer Cells and Metastasis 4
- Chemokine receptors and signaling 3
- Cancer Immunotherapy and Biomarkers 2
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- Immunotherapy and Immune Responses 3
- Immune cells in cancer 3
- Immune Cell Function and Interaction 2
- Co-authors
- Armelle Prévost‐Blondel (2 shared papers)Jean-Pierre Abastado (2 shared papers)Xiaojie Wang (2 shared papers)Karen Khoo (2 shared papers)Wen Jing Sim (1 shared paper)Wing C. Wong (1 shared paper)Jo Keeble (2 shared papers)Jean Paul Thiery (1 shared paper)
In The Last Decade
Benjamin Toh
9 papers receiving 810 citations
Peers
Comparison fields: 5 of 74
- Immunology 441
- Oncology 493
- Cancer Research 134
- Biotechnology 42
- Immunology and Allergy 21
Countries citing papers authored by Benjamin Toh
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 392 | |
| 2 | 2011 | 297 | |
| 3 | Depression of cell-mediated immunity in old age and the immunopathic diseases, lupus erythematosus, chronic hepatitis and rheumatoid arthritis. | 1973 | 103 |
| 4 | Quantitation of cell-mediated immunity: responses to dinitrochlorobenzene and ubiquitous antigens. | 1975 | 20 |
| 5 | Autoantibodies to fibroblasts in scleroderma. | 1982 | 13 |
| 6 | 2012 | 12 | |
| 7 | 2012 | 8 | |
| 8 | 1973 | 5 | |
| 9 | 2012 | 4 | |
| 10 | 2016 | 0 |
About Benjamin Toh
Benjamin Toh is a scholar working on Oncology, Immunology, Pathology and Forensic Medicine, Biological Psychiatry and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 854 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Chemokine receptors and signaling (3 papers), Immunotherapy and Immune Responses (3 papers), Immune cells in cancer (3 papers), Immune Cell Function and Interaction (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Genomics and Diagnostics (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Immunology (441 citations), Oncology (493 citations), Cancer Research (134 citations), Biotechnology (42 citations) and Immunology and Allergy (21 citations). Benjamin Toh has collaborated with scholars based in Singapore, France and Japan. Frequent co-authors include Armelle Prévost‐Blondel, Jean-Pierre Abastado, Xiaojie Wang, Karen Khoo, Wen Jing Sim, Wing C. Wong, Jo Keeble, Jean Paul Thiery, Masashi Kato and Masashi Kato. Their work appears in journals such as PLoS Biology, Annals of the Rheumatic Diseases, OncoImmunology, Immunologic Research and Journal of Clinical Investigation.
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.