Torsten O. Nielsen
- Cancer Research top 0.01%
- Breast Cancer Treatment Studies 84
- Cancer Genomics and Diagnostics 24
- Oncology top 0.02%
- HER2/EGFR in Cancer Research 51
- Cancer Immunotherapy and Biomarkers 19
- Cancer Cells and Metastasis 18
- Pathology and Forensic Medicine top 0.05%
- Breast Lesions and Carcinomas 21
- Pulmonary and Respiratory Medicine top 0.1%
- Sarcoma Diagnosis and Treatment 70
- Gastroenterology top 0.5%
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- Gene expression and cancer classification 18
Torsten O. Nielsen
237 papers receiving 30.5k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Cancer Research 14.5k
- Oncology 16.1k
- Pathology and Forensic Medicine 4.9k
- Pulmonary and Respiratory Medicine 7.7k
- Gastroenterology 958
Countries citing papers authored by Torsten O. Nielsen
This map shows the geographic impact of Torsten O. Nielsen'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 Torsten O. Nielsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten O. Nielsen more than expected).
Fields of papers citing papers by Torsten O. Nielsen
This network shows the impact of papers produced by Torsten O. Nielsen. 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 Torsten O. Nielsen. The network helps show where Torsten O. Nielsen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Torsten O. Nielsen, 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 | 2025 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 2 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 138 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 125 | |
| 11 | 2017 | 26 | |
| 12 | 2012 | 220 | |
| 13 | 2012 | 105 | |
| 14 | A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancerbreakdown → | 2010 | 542 |
| 15 | 2008 | 49 | |
| 16 | 2008 | 142 | |
| 17 | Genome-wide transcriptome analysis of nerve sheath tumors | 2006 | 1 |
| 18 | Growth inhibition of synovial sarcoma cells by curcumin | 2005 | 1 |
| 19 | The Novel Marker, DOG1, Is Expressed Ubiquitously in Gastrointestinal Stromal Tumors Irrespective of KIT or PDGFRA Mutation Statusbreakdown → | 2004 | 487 |
| 20 | 2003 | 107 |
About Torsten O. Nielsen
Torsten O. Nielsen is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 241 papers that have together received 31.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (84 papers), Sarcoma Diagnosis and Treatment (70 papers), HER2/EGFR in Cancer Research (51 papers), Cancer Genomics and Diagnostics (24 papers), Breast Lesions and Carcinomas (21 papers), Cancer Immunotherapy and Biomarkers (19 papers), Cancer Cells and Metastasis (18 papers) and Gene expression and cancer classification (18 papers). The work is most often cited by research in Cancer Research (14.5k citations), Oncology (16.1k citations) and Pathology and Forensic Medicine (4.9k citations). Torsten O. Nielsen has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Maggie C.U. Cheang, Charles M. Perou, Samuel Leung, David Voduc, Matt van de Rijn, Philip S. Bernard, Joel S. Parker, Stephen Chia, Matthew J. Ellis and Robert B. West. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and JAMA.
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.