Arpad Danos
Impact in
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- Glycogen Storage Diseases and Myoclonus
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- Adipose Tissue and Metabolism
Papers in
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- Metabolism, Diabetes, and Cancer 3
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Matthew Brady (6 shared papers)Cynthia C. Greenberg (3 shared papers)Michael J. Jurczak (3 shared papers)Xiaoyan Wu (1 shared paper)Tatiana K. Zagranichnaya (1 shared paper)Mitchel L. Villereal (1 shared paper)Obi L. Griffith (8 shared papers)Malachi Griffith (8 shared papers)
- Journals
- JCO Clinical Cancer Informatics (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Physiological Genomics (1 paper)Obesity (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- United StatesCanadaMalaysia
In The Last Decade
Arpad Danos
16 papers receiving 330 citations
Peers
Comparison fields: 5 of 79
- Rheumatology 43
- Physiology 63
- Cancer Research 34
- Molecular Biology 154
- Aquatic Science 16
Countries citing papers authored by Arpad Danos
This map shows the geographic impact of Arpad Danos'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 Arpad Danos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpad Danos more than expected).
Fields of papers citing papers by Arpad Danos
This network shows the impact of papers produced by Arpad Danos. 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 Arpad Danos. The network helps show where Arpad Danos may publish in the future.
Co-authors
The 25 scholars most cited alongside Arpad Danos, 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 | 2006 | 147 | |
| 2 | 2006 | 32 | |
| 3 | 2019 | 29 | |
| 4 | 2004 | 27 | |
| 5 | 2005 | 26 | |
| 6 | 2007 | 15 | |
| 7 | 2009 | 13 | |
| 8 | 2018 | 12 | |
| 9 | 2012 | 9 | |
| 10 | 2022 | 6 | |
| 11 | 2019 | 6 | |
| 12 | 2009 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2019 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2023 | 0 |
About Arpad Danos
Arpad Danos is a scholar working on Molecular Biology, Cancer Research, Surgery, Rheumatology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 338 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Treatments and Mutations (2 papers), Adipose Tissue and Metabolism (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Rheumatology (43 citations), Physiology (63 citations), Cancer Research (34 citations), Molecular Biology (154 citations) and Aquatic Science (16 citations). Arpad Danos has collaborated with scholars based in United States, Canada and Malaysia. Frequent co-authors include Matthew Brady, Cynthia C. Greenberg, Michael J. Jurczak, Xiaoyan Wu, Tatiana K. Zagranichnaya, Mitchel L. Villereal, Obi L. Griffith, Malachi Griffith, Margaret B. Allison and Kilannin Krysiak. Their work appears in journals such as JCO Clinical Cancer Informatics, American Journal of Physiology-Endocrinology and Metabolism, Physiological Genomics, Obesity and Journal of Cellular Biochemistry.
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.