Denada Dibra
Impact in
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- Psoriasis: Treatment and Pathogenesis
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 9
- Cytokine Signaling Pathways and Interactions 3
- Cancer Cells and Metastasis 3
- Cancer-related Molecular Pathways 2
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- Viral Infectious Diseases and Gene Expression in Insects 2
- RNA Interference and Gene Delivery 2
- Co-authors
- Shulin Li (16 shared papers)Xueqing Xia (10 shared papers)Jeffry J. Cutrera (12 shared papers)Abhisek Mitra (5 shared papers)Guillermina Lozano (7 shared papers)Eugenie S. Kleinerman (2 shared papers)Lopa Mishra (2 shared papers)Arun Satelli (3 shared papers)
- Journals
- Cancer Research (4 papers)Hepatology (2 papers)PLoS ONE (2 papers)Clinical Cancer Research (1 paper)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Denada Dibra
21 papers receiving 486 citations
Peers
Comparison fields: 5 of 61
- Immunology 167
- Oncology 199
- Cancer Research 82
- Genetics 24
- Pulmonary and Respiratory Medicine 71
Countries citing papers authored by Denada Dibra
This map shows the geographic impact of Denada Dibra'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 Denada Dibra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denada Dibra more than expected).
Fields of papers citing papers by Denada Dibra
This network shows the impact of papers produced by Denada Dibra. 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 Denada Dibra. The network helps show where Denada Dibra may publish in the future.
Co-authors
The 25 scholars most cited alongside Denada Dibra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 135 | |
| 2 | 2015 | 80 | |
| 3 | 2011 | 44 | |
| 4 | 2011 | 38 | |
| 5 | 2015 | 30 | |
| 6 | 2024 | 25 | |
| 7 | 2009 | 25 | |
| 8 | 2012 | 21 | |
| 9 | 2023 | 19 | |
| 10 | 2014 | 15 | |
| 11 | 2016 | 12 | |
| 12 | 2013 | 11 | |
| 13 | 2018 | 8 | |
| 14 | 2011 | 8 | |
| 15 | 2016 | 5 | |
| 16 | 2013 | 4 | |
| 17 | 2009 | 4 | |
| 18 | 2013 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2013 | 1 |
About Denada Dibra
Denada Dibra is a scholar working on Oncology, Molecular Biology, Immunology, Genetics and Cancer Research, having authored 21 papers that have together received 488 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cancer Cells and Metastasis (3 papers), Immune Cell Function and Interaction (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), RNA Interference and Gene Delivery (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Immunology (167 citations), Oncology (199 citations), Cancer Research (82 citations), Genetics (24 citations) and Pulmonary and Respiratory Medicine (71 citations). Denada Dibra has collaborated with scholars based in United States and China. Frequent co-authors include Shulin Li, Xueqing Xia, Jeffry J. Cutrera, Abhisek Mitra, Guillermina Lozano, Eugenie S. Kleinerman, Lopa Mishra, Arun Satelli, Neeta Somaiah and Konrad Gabrusiewicz. Their work appears in journals such as Cancer Research, Hepatology, PLoS ONE, Clinical Cancer Research and Biochimica et Biophysica Acta (BBA) - Reviews on 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.