Daniel G. Fuja
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Biophysics top 10%
Papers in
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- RNA Research and Splicing 2
- Epigenetics and DNA Methylation 1
- Bone Metabolism and Diseases 1
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- Blood properties and coagulation 1
- Ferroptosis and cancer prognosis 1
- Renal cell carcinoma treatment 1
- Co-authors
- James Tyrrell (2 shared papers)Emmanuelle di Tomaso (2 shared papers)Ricky T. Tong (1 shared paper)Kevin R. Kozak (1 shared paper)Badrinath Roysam (1 shared paper)Walid S. Kamoun (1 shared paper)Lance L. Munn (1 shared paper)Nyall R. London (1 shared paper)
- Journals
- Cancer Medicine (1 paper)Genes Chromosomes and Cancer (1 paper)IEEE Transactions on Medical Imaging (1 paper)PLoS ONE (1 paper)Molecular Cancer Research (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel G. Fuja
8 papers receiving 370 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 142
- Biophysics 24
- Pulmonary and Respiratory Medicine 99
- Computer Vision and Pattern Recognition 57
- Molecular Biology 182
Countries citing papers authored by Daniel G. Fuja
This map shows the geographic impact of Daniel G. Fuja'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 Daniel G. Fuja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Fuja more than expected).
Fields of papers citing papers by Daniel G. Fuja
This network shows the impact of papers produced by Daniel G. Fuja. 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 Daniel G. Fuja. The network helps show where Daniel G. Fuja may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel G. Fuja, 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 | 2007 | 101 | |
| 2 | 2009 | 94 | |
| 3 | 2015 | 66 | |
| 4 | 2022 | 49 | |
| 5 | 2015 | 24 | |
| 6 | 2019 | 19 | |
| 7 | 2015 | 16 | |
| 8 | Transglutaminase-2 promotes metastatic and stem-like phenotypes in osteosarcoma. | 2018 | 12 |
About Daniel G. Fuja
Daniel G. Fuja is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Neurology, having authored 8 papers that have together received 381 indexed citations. Recurring topics across this work include RNA Research and Splicing (2 papers), Blood properties and coagulation (1 paper), Ferroptosis and cancer prognosis (1 paper), Epigenetics and DNA Methylation (1 paper), Renal cell carcinoma treatment (1 paper), Medical Image Segmentation Techniques (1 paper), Advanced Vision and Imaging (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Cancer Research (142 citations), Biophysics (24 citations), Pulmonary and Respiratory Medicine (99 citations), Computer Vision and Pattern Recognition (57 citations) and Molecular Biology (182 citations). Daniel G. Fuja has collaborated with scholars based in United States. Frequent co-authors include James Tyrrell, Emmanuelle di Tomaso, Ricky T. Tong, Kevin R. Kozak, Badrinath Roysam, Walid S. Kamoun, Lance L. Munn, Nyall R. London, James J. Logie and Lawrence A. Donehower. Their work appears in journals such as Cancer Medicine, Genes Chromosomes and Cancer, IEEE Transactions on Medical Imaging, PLoS ONE and Molecular Cancer Research.
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.