Daniela Buglio
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Histone Deacetylase Inhibitors Research 17
- Protein Degradation and Inhibitors 7
- Ubiquitin and proteasome pathways 4
- Biochemical and Molecular Research 4
-
- Lymphoma Diagnosis and Treatment 11
- Co-authors
- Anas Younes (28 shared papers)Noor M. Khaskhely (8 shared papers)Georgios Georgakis (5 shared papers)Sattva S. Neelapu (9 shared papers)Yuan Ji (6 shared papers)Amanda Copeland (7 shared papers)L. Jeffrey Medeiros (6 shared papers)Jorge Romaguera (3 shared papers)
- Journals
- Blood (20 papers)Experimental Hematology (2 papers)British Journal of Haematology (2 papers)Journal of Clinical Oncology (1 paper)Investigational New Drugs (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Daniela Buglio
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Pathology and Forensic Medicine 391
- Genetics 173
- Oncology 390
- Molecular Biology 699
- Hematology 99
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 158 | |
| 2 | 2008 | 133 | |
| 3 | 2008 | 118 | |
| 4 | 2012 | 97 | |
| 5 | 2011 | 91 | |
| 6 | 2013 | 85 | |
| 7 | 2009 | 78 | |
| 8 | 2012 | 68 | |
| 9 | 2011 | 52 | |
| 10 | 2012 | 50 | |
| 11 | 2010 | 44 | |
| 12 | 2016 | 40 | |
| 13 | 2011 | 39 | |
| 14 | 2010 | 29 | |
| 15 | 2007 | 26 | |
| 16 | 2010 | 22 | |
| 17 | 2011 | 13 | |
| 18 | 2009 | 12 | |
| 19 | 2007 | 9 | |
| 20 | 2012 | 8 |
About Daniela Buglio
Daniela Buglio is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cancer Research and Genetics, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (17 papers), Lymphoma Diagnosis and Treatment (11 papers), Protein Degradation and Inhibitors (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Ubiquitin and proteasome pathways (4 papers), Peptidase Inhibition and Analysis (4 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (391 citations), Genetics (173 citations), Oncology (390 citations), Molecular Biology (699 citations) and Hematology (99 citations). Daniela Buglio has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Anas Younes, Noor M. Khaskhely, Georgios Georgakis, Sattva S. Neelapu, Yuan Ji, Amanda Copeland, L. Jeffrey Medeiros, Jorge Romaguera, Enrico Derenzini and Shino Hanabuchi. Their work appears in journals such as Blood, Experimental Hematology, British Journal of Haematology, Journal of Clinical Oncology and Investigational New Drugs.
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.