Daniela Buglio
Impact in
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- Lymphoma Diagnosis and Treatment
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
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- Lymphoma Diagnosis and Treatment 19
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- Cancer, Hypoxia, and Metabolism 4
- NF-κB Signaling Pathways 2
- Co-authors
- Anas Younes (29 shared papers)Noor M. Khaskhely (8 shared papers)Georgios V. Georgakis (5 shared papers)Sattva Swarup Neelapu (9 shared papers)Amanda R. M. Copeland (7 shared papers)Yuan Ji (6 shared papers)L. Jeffrey Medeiros (6 shared papers)Jorge Enrique Romaguera (3 shared papers)
- Journals
- Blood (20 papers)Experimental Hematology (2 papers)British Journal of Haematology (2 papers)Blood Cancer Journal (2 papers)Current Opinion in Oncology (1 paper)
- Partner nations
- United StatesHungaryGermany
In The Last Decade
Daniela Buglio
35 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 52
- Pathology and Forensic Medicine 528
- Genetics 127
- Molecular Biology 606
- Oncology 152
- Cancer Research 80
Countries citing papers authored by Daniela Buglio
This map shows the geographic impact of Daniela Buglio'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 Daniela Buglio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Buglio more than expected).
Fields of papers citing papers by Daniela Buglio
This network shows the impact of papers produced by Daniela Buglio. 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 Daniela Buglio. The network helps show where Daniela Buglio may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Buglio, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 181 | |
| 2 | 2011 | 171 | |
| 3 | 2008 | 144 | |
| 4 | 2008 | 125 | |
| 5 | 2012 | 110 | |
| 6 | 2011 | 100 | |
| 7 | 2013 | 96 | |
| 8 | 2009 | 83 | |
| 9 | 2012 | 68 | |
| 10 | 2011 | 57 | |
| 11 | 2014 | 56 | |
| 12 | 2012 | 55 | |
| 13 | 2016 | 49 | |
| 14 | 2010 | 47 | |
| 15 | 2011 | 43 | |
| 16 | 2010 | 31 | |
| 17 | 2007 | 28 | |
| 18 | 2010 | 22 | |
| 19 | 2011 | 13 | |
| 20 | 2009 | 12 |
About Daniela Buglio
Daniela Buglio is a scholar working on Pathology and Forensic Medicine, Cancer Research, Molecular Biology, Genetics and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (19 papers), Histone Deacetylase Inhibitors Research (14 papers), Cancer, Hypoxia, and Metabolism (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), NF-κB Signaling Pathways (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Chronic Lymphocytic Leukemia Research (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (528 citations), Genetics (127 citations), Molecular Biology (606 citations), Oncology (152 citations) and Cancer Research (80 citations). Daniela Buglio has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Anas Younes, Noor M. Khaskhely, Georgios V. Georgakis, Sattva Swarup Neelapu, Amanda R. M. Copeland, Yuan Ji, L. Jeffrey Medeiros, Jorge Enrique Romaguera, Enrico Derenzini and Kazuhiko Arima. Their work appears in journals such as Blood, Experimental Hematology, British Journal of Haematology, Blood Cancer Journal and Current Opinion in Oncology.
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.