Nathan Cuka

10.4k citations
10 papers · 766 · h-index 7

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

    • Cancer Immunotherapy and Biomarkers 3
    • Pancreatic and Hepatic Oncology Research 1
    • Viral-associated cancers and disorders 1
    • Cancer Cells and Metastasis 1
    • Mast cells and histamine 2
    • Immunotherapy and Immune Responses 1

Nathan Cuka

10 papers receiving 761 citations

Peers

Nathan Cuka
Comparison fields: 5 of 56
  • Oncology 491
  • Immunology 244
  • Gastroenterology 31
  • Pulmonary and Respiratory Medicine 179
  • Cancer Research 57
Replace Francesca Franzi with:
Francesca Franzi Italy
JT Chang United States
Rieke Fischer Germany
Paulus Schurr Germany
Marina Kem United States
Isabelle Laure Ray-Coquard France
Yu Jeong Bang South Korea
Anna Zamboli Italy
Eo-Jin Kim South Korea
John M. Wallmark United States
Nathan Cuka relative to Francesca Franzi Italy Francesca Franzi's profile →
Citations per field
00.5×1.5×2.1×
Francesca Franzi · 1×
Citations per year

Countries citing papers authored by Nathan Cuka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nathan Cuka Line = papers co-authored together Nathan Cuka links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2016368
2 2015277
3 201648
4 201830
5 202015
6 201614
7 20199
8 20123
9 20161
10 20151

About Nathan Cuka

Nathan Cuka is a scholar working on Oncology, Immunology, Pathology and Forensic Medicine, Nephrology and Genetics, having authored 10 papers that have together received 766 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Mast cells and histamine (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Viral-associated cancers and disorders (1 paper), Immunotherapy and Immune Responses (1 paper), Cancer Cells and Metastasis (1 paper) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (491 citations), Immunology (244 citations), Gastroenterology (31 citations), Pulmonary and Respiratory Medicine (179 citations) and Cancer Research (57 citations). Nathan Cuka has collaborated with scholars based in United States. Frequent co-authors include Toby C. Cornish, Janis M. Taube, Elizabeth D. Thompson, Marianna Zahurak, Mark D. Duncan, Eihab Abdelfatah, Stephen C. Yang, Nita Ahuja, Ronan J. Kelly and Adrian Murphy. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Human Pathology, The American Journal of Surgical Pathology, Journal of Clinical Oncology and Gut.

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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