Denada Dibra
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Psoriasis: Treatment and Pathogenesis
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- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 13
- Cytokine Signaling Pathways and Interactions 5
- Cancer Cells and Metastasis 4
- Cancer-related Molecular Pathways 4
- Cancer Immunotherapy and Biomarkers 3
- 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)Lopa Mishra (2 shared papers)Arun Satelli (3 shared papers)Eugenie S. Kleinerman (2 shared papers)
- Journals
- Cancer Research (4 papers)Hepatology (2 papers)PLoS ONE (2 papers)Molecular Therapy (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Denada Dibra
21 papers receiving 473 citations
Peers
Comparison fields: 5 of 64
- Immunology 196
- Oncology 227
- Cancer Research 92
- Hepatology 22
- Genetics 29
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 | 131 | |
| 2 | 2015 | 80 | |
| 3 | 2011 | 43 | |
| 4 | 2011 | 38 | |
| 5 | 2015 | 29 | |
| 6 | 2009 | 25 | |
| 7 | 2024 | 22 | |
| 8 | 2012 | 20 | |
| 9 | 2014 | 15 | |
| 10 | 2023 | 15 | |
| 11 | 2016 | 12 | |
| 12 | 2013 | 11 | |
| 13 | 2018 | 8 | |
| 14 | 2011 | 8 | |
| 15 | 2009 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2023 | 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 475 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Virus-based gene therapy research (5 papers), Immune Cell Function and Interaction (5 papers), Cancer Cells and Metastasis (4 papers), Cancer-related Molecular Pathways (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (196 citations), Oncology (227 citations), Cancer Research (92 citations), Hepatology (22 citations) and Genetics (29 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, Lopa Mishra, Arun Satelli, Eugenie S. Kleinerman, Jun Yan and Keila E. Torres. Their work appears in journals such as Cancer Research, Hepatology, PLoS ONE, Molecular Therapy and Clinical 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.