Nathan Cuka
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- CAR-T cell therapy research
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 3
- Pancreatic and Hepatic Oncology Research 1
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- Prostate Cancer Treatment and Research 2
- Co-authors
- Toby C. Cornish (4 shared papers)Janis M. Taube (3 shared papers)Elizabeth D. Thompson (3 shared papers)Stephen C. Yang (2 shared papers)Mark D. Duncan (2 shared papers)Robert A. Anders (2 shared papers)Adrian Murphy (2 shared papers)Eihab Abdelfatah (2 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)The Prostate (1 paper)The American Journal of Surgical Pathology (1 paper)Gut (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)
- Partner nations
- United States
In The Last Decade
Nathan Cuka
10 papers receiving 737 citations
Nathan Cuka's Hit Papers
Peers
Comparison fields: 5 of 58
- Oncology 571
- Immunology 300
- Gastroenterology 46
- Pulmonary and Respiratory Medicine 255
- Cancer Research 83
Countries citing papers authored by Nathan Cuka
This map shows the geographic impact of Nathan Cuka'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 Nathan Cuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Cuka more than expected).
Fields of papers citing papers by Nathan Cuka
This network shows the impact of papers produced by Nathan Cuka. 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 Nathan Cuka. The network helps show where Nathan Cuka may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Cuka, 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 | Patterns of PD-L1 expression and CD8 T cell infiltration in gastric adenocarcinomas and associated immune stroma Hit paper breakdown → | 2016 | 359 |
| 2 | 2015 | 268 | |
| 3 | 2016 | 48 | |
| 4 | 2018 | 28 | |
| 5 | 2020 | 14 | |
| 6 | 2016 | 14 | |
| 7 | 2019 | 7 | |
| 8 | 2012 | 3 | |
| 9 | 2016 | 1 | |
| 10 | 2015 | 1 |
About Nathan Cuka
Nathan Cuka is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Genetics and Pathology and Forensic Medicine, having authored 10 papers that have together received 743 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Mast cells and histamine (2 papers), Prostate Cancer Treatment and Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Renal Diseases and Glomerulopathies (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Complement system in diseases (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Oncology (571 citations), Immunology (300 citations), Gastroenterology (46 citations), Pulmonary and Respiratory Medicine (255 citations) and Cancer Research (83 citations). Nathan Cuka has collaborated with scholars based in United States. Frequent co-authors include Toby C. Cornish, Janis M. Taube, Elizabeth D. Thompson, Stephen C. Yang, Mark D. Duncan, Robert A. Anders, Adrian Murphy, Eihab Abdelfatah, Marianna Zahurak and Ronan J. Kelly. Their work appears in journals such as Journal of Clinical Oncology, The Prostate, The American Journal of Surgical Pathology, Gut and Cancer Epidemiology Biomarkers & Prevention.
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.