Aleksandar Dakic
- Immunology top 2%
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 5
- Immune Response and Inflammation 4
- Hematology top 5%
- Acute Myeloid Leukemia Research 4
- Oncology top 5%
- Cancer Cells and Metastasis 3
- Cancer-related Molecular Pathways 2
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 2
- Molecular Biology top 10%
- Co-authors
- Stephen L. NuttLi WuPriscilla N. KellyAndreas StrasserJerry M. AdamsDonald MetcalfSandra MifsudLadina Di Rago
- Cited by
- ImmunologyHematologyOncology
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (2 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Aleksandar Dakic
18 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Immunology 1.2k
- Hematology 312
- Oncology 667
- Cancer Research 296
- Molecular Biology 871
Countries citing papers authored by Aleksandar Dakic
This map shows the geographic impact of Aleksandar Dakic'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 Aleksandar Dakic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksandar Dakic more than expected).
Fields of papers citing papers by Aleksandar Dakic
This network shows the impact of papers produced by Aleksandar Dakic. 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 Aleksandar Dakic. The network helps show where Aleksandar Dakic may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aleksandar Dakic, 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 | 2024 | 1 | |
| 2 | 2017 | 23 | |
| 3 | 2016 | 13 | |
| 4 | 2014 | 158 | |
| 5 | 2010 | 212 | |
| 6 | 2008 | 23 | |
| 7 | 2008 | 101 | |
| 8 | 2007 | 58 | |
| 9 | 2007 | 15 | |
| 10 | Tumor Growth Need Not Be Driven by Rare Cancer Stem Cellsbreakdown → | 2007 | 622 |
| 11 | 2006 | 84 | |
| 12 | 2005 | 222 | |
| 13 | 2005 | 431 | |
| 14 | 2005 | 62 | |
| 15 | 2004 | 115 | |
| 16 | Development of dendritic cell system. | 2004 | 50 |
| 17 | 2003 | 10 | |
| 18 | 2003 | 5 |
About Aleksandar Dakic
Aleksandar Dakic is a scholar working on Immunology, Hematology and Periodontics, having authored 18 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (5 papers), Acute Myeloid Leukemia Research (4 papers), Immune Response and Inflammation (4 papers), Cancer Cells and Metastasis (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Immunology (1.2k citations), Hematology (312 citations) and Oncology (667 citations). Aleksandar Dakic has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Stephen L. Nutt, Li Wu, Priscilla N. Kelly, Andreas Strasser, Jerry M. Adams, Donald Metcalf, Sandra Mifsud, Ladina Di Rago, Wei‐Feng Chen and Ken Shortman. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.