W.E. Gillanders
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- CAR-T cell therapy research
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in ⓘ
-
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 1
- Oncology 4
- Cancer Cells and Metastasis 3
- Cancer Immunotherapy and Biomarkers 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- Feng Gao (3 shared papers)Simone Muenst (3 shared papers)Savas D. Soysal (3 shared papers)S. Peter Goedegebuure (1 shared paper)Daniel Oertli (2 shared papers)Ellen C. Obermann (1 shared paper)Rosanna Zanetti (1 shared paper)Paul Zajac (1 shared paper)
- Journals
- Breast Cancer Research and Treatment (2 papers)The Journal of Experimental Medicine (1 paper)British Journal of Cancer (1 paper)Transplantation (1 paper)Annals of Oncology (1 paper)
- Partner nations
- United StatesSwitzerlandChile
In The Last Decade
W.E. Gillanders
6 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Oncology 826
- Immunology 493
- Cancer Research 133
- Psychiatry and Mental health 73
- Pulmonary and Respiratory Medicine 145
Countries citing papers authored by W.E. Gillanders
This map shows the geographic impact of W.E. Gillanders'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 W.E. Gillanders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.E. Gillanders more than expected).
Fields of papers citing papers by W.E. Gillanders
This network shows the impact of papers produced by W.E. Gillanders. 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 W.E. Gillanders. The network helps show where W.E. Gillanders may publish in the future.
Co-authors
The 25 scholars most cited alongside W.E. Gillanders, 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 | Expression of programmed death ligand 1 (PD-L1) is associated with poor prognosis in human breast cancer Hit paper breakdown → | 2014 | 462 |
| 2 | 2013 | 274 | |
| 3 | 2017 | 179 | |
| 4 | 2013 | 102 | |
| 5 | 2023 | 16 | |
| 6 | 1997 | 4 |
About W.E. Gillanders
W.E. Gillanders is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Molecular Biology, having authored 6 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), Cancer Cells and Metastasis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers), HER2/EGFR in Cancer Research (2 papers), Immune Cell Function and Interaction (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (826 citations), Immunology (493 citations), Cancer Research (133 citations), Psychiatry and Mental health (73 citations) and Pulmonary and Respiratory Medicine (145 citations). W.E. Gillanders has collaborated with scholars based in United States, Switzerland and Chile. Frequent co-authors include Feng Gao, Simone Muenst, Savas D. Soysal, S. Peter Goedegebuure, Daniel Oertli, Ellen C. Obermann, Rosanna Zanetti, Paul Zajac, Emanuele Trella and Silvio Däster. Their work appears in journals such as Breast Cancer Research and Treatment, The Journal of Experimental Medicine, British Journal of Cancer, Transplantation and Annals of Oncology.
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.