Ayush Arya
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer-related Molecular Pathways
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- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 3
- Cancer Immunotherapy and Biomarkers 2
- Colorectal Cancer Treatments and Studies 1
- Cancer-related Molecular Pathways 1
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- Lung Cancer Treatments and Mutations 2
- Co-authors
- Young Kwang Chae (4 shared papers)Francis J. Giles (3 shared papers)Wade T. Iams (2 shared papers)Jaehyuk Choi (2 shared papers)Marcelo Cruz (1 shared paper)Sunandana Chandra (1 shared paper)Benedito A. Carneiro (1 shared paper)Leonidas C. Platanias (1 shared paper)
- Journals
- Oncotarget (2 papers)Annals of Translational Medicine (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- United States
In The Last Decade
Ayush Arya
4 papers receiving 581 citations
Ayush Arya's Hit Papers
Peers
Comparison fields: 5 of 72
- Oncology 329
- Cancer Research 130
- Immunology 154
- Molecular Biology 294
- Pulmonary and Respiratory Medicine 110
Countries citing papers authored by Ayush Arya
This map shows the geographic impact of Ayush Arya'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 Ayush Arya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayush Arya more than expected).
Fields of papers citing papers by Ayush Arya
This network shows the impact of papers produced by Ayush Arya. 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 Ayush Arya. The network helps show where Ayush Arya may publish in the future.
Co-authors
The 23 scholars most cited alongside Ayush Arya, 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 | Current landscape and future of dual anti-CTLA4 and PD-1/PD-L1 blockade immunotherapy in cancer; lessons learned from clinical trials with melanoma and non-small cell lung cancer (NSCLC) Hit paper breakdown → | 2018 | 321 |
| 2 | 2016 | 240 | |
| 3 | 2017 | 17 | |
| 4 | 2018 | 13 |
About Ayush Arya
Ayush Arya is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 4 papers that have together received 591 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer-related Molecular Pathways (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Oncology (329 citations), Cancer Research (130 citations), Immunology (154 citations), Molecular Biology (294 citations) and Pulmonary and Respiratory Medicine (110 citations). Ayush Arya has collaborated with scholars based in United States. Frequent co-authors include Young Kwang Chae, Francis J. Giles, Wade T. Iams, Jaehyuk Choi, Marcelo Cruz, Sunandana Chandra, Benedito A. Carneiro, Leonidas C. Platanias, Mary‐Kate Malecek and Francis J. Giles. Their work appears in journals such as Oncotarget, Annals of Translational Medicine and Journal for ImmunoTherapy of Cancer.
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.