Nathan Cuka

10.3k total citations · 1 hit paper
10 papers, 743 citations indexed

About

Nathan Cuka is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Nathan Cuka has authored 10 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Immunology. Recurrent topics in Nathan Cuka's work include Cancer Immunotherapy and Biomarkers (3 papers), Mast cells and histamine (2 papers) and Prostate Cancer Treatment and Research (2 papers). Nathan Cuka is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Mast cells and histamine (2 papers) and Prostate Cancer Treatment and Research (2 papers). Nathan Cuka collaborates with scholars based in United States. Nathan Cuka's co-authors include Toby C. Cornish, Elizabeth D. Thompson, Janis M. Taube, Ronan J. Kelly, Adrian Murphy, Eihab Abdelfatah, Marianna Zahurak, Nita Ahuja, Mark D. Duncan and Stephen C. Yang and has published in prestigious journals such as Journal of Clinical Oncology, Gut and The American Journal of Surgical Pathology.

In The Last Decade

Nathan Cuka

10 papers receiving 737 citations

Hit Papers

Patterns of PD-L1 expression and CD8 T cell infiltration ... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan Cuka United States 7 571 300 255 122 96 10 743
Ryo Yoriki Japan 5 608 1.1× 341 1.1× 159 0.6× 170 1.4× 80 0.8× 10 717
Akinori Sasaki Japan 9 792 1.4× 536 1.8× 332 1.3× 121 1.0× 106 1.1× 29 1.1k
Andy Karabajakian France 9 537 0.9× 138 0.5× 246 1.0× 114 0.9× 103 1.1× 19 684
JT Chang United States 2 497 0.9× 193 0.6× 281 1.1× 80 0.7× 152 1.6× 5 689
John M. Wallmark United States 8 598 1.0× 210 0.7× 278 1.1× 209 1.7× 99 1.0× 11 748
Isabelle Laure Ray-Coquard France 15 625 1.1× 86 0.3× 235 0.9× 98 0.8× 155 1.6× 110 852
Amy Meister United States 7 551 1.0× 136 0.5× 240 0.9× 104 0.9× 125 1.3× 9 674
Anna Zamboli Italy 13 519 0.9× 55 0.2× 401 1.6× 283 2.3× 151 1.6× 19 821
Päivi Väre Finland 5 291 0.5× 117 0.4× 72 0.3× 113 0.9× 59 0.6× 6 487
Gustavo Schvartsman Brazil 11 370 0.6× 56 0.2× 201 0.8× 118 1.0× 101 1.1× 31 488

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-authorship network of co-authors of Nathan Cuka

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Cuka. A scholar is included among the top collaborators of Nathan Cuka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathan Cuka. Nathan Cuka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Heaphy, Christopher M., İbrahim Kulaç, Nathan Cuka, et al.. (2020). High Extratumoral Mast Cell Counts Are Associated with a Higher Risk of Adverse Prostate Cancer Outcomes. Cancer Epidemiology Biomarkers & Prevention. 29(3). 668–675. 14 indexed citations
2.
Cuka, Nathan, et al.. (2019). Extra-abdominal umbilical vein varix in a newborn. BMJ Case Reports. 12(5). e227424–e227424. 7 indexed citations
3.
Gong, Shunyou, Genevieve M. Crane, Chad M. McCall, et al.. (2018). Expanding the Spectrum of EBV-positive Marginal Zone Lymphomas. The American Journal of Surgical Pathology. 42(10). 1306–1316. 28 indexed citations
4.
Thompson, Elizabeth D., Marianna Zahurak, Adrian Murphy, et al.. (2016). Patterns of PD-L1 expression and CD8 T cell infiltration in gastric adenocarcinomas and associated immune stroma. Gut. 66(5). 794–801. 359 indexed citations breakdown →
5.
Moliterno, Alison R., Yarden S. Fraiman, Nathan Cuka, Denise Batista, & Milena Vuica‐Ross. (2016). Development of paroxysmal nocturnal hemoglobinuria in CALR-positive myeloproliferative neoplasm. Journal of Blood Medicine. 7. 107–107. 14 indexed citations
6.
Cuka, Nathan, İbrahim Kulaç, John R. Barber, et al.. (2016). Low Intratumoral Mast Cells Are Associated With a Higher Risk of Prostate Cancer Recurrence. The Prostate. 77(4). 412–424. 48 indexed citations
7.
Belchis, Deborah, Nathan Cuka, Neeraj Sharma, Rajni Sharma, & Christopher D. Gocke. (2016). Aberrant NHERF1 expression as a biomarker in lung carcinoma. 5(1). 7–7. 1 indexed citations
8.
Cimino‐Mathews, Ashley, Elizabeth D. Thompson, Janis M. Taube, et al.. (2015). PD-L1 (B7-H1) expression and the immune tumor microenvironment in primary and metastatic breast carcinomas. Human Pathology. 47(1). 52–63. 268 indexed citations
9.
Kelly, Ronan J., Elizabeth D. Thompson, Marianna Zahurak, et al.. (2015). Adaptive immune resistance in gastro-esophageal cancer: Correlating tumoral/stromal PDL1 expression with CD8+ cell count.. Journal of Clinical Oncology. 33(15_suppl). 4031–4031. 1 indexed citations

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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