Daniela Buac
Impact in
- Oncology top 10%
- Metal complexes synthesis and properties
- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
-
- Ubiquitin and proteasome pathways 6
- Protein Degradation and Inhibitors 3
- Cell death mechanisms and regulation 2
- Oncology 6
- Metal complexes synthesis and properties 3
- Peptidase Inhibition and Analysis 2
- Co-authors
- Q. Ping Dou (8 shared papers)Sara M. Schmitt (3 shared papers)Fathima R. Kona (7 shared papers)Min Shen (2 shared papers)Caifeng Bi (3 shared papers)Yuhua Fan (3 shared papers)Jian Zuo (2 shared papers)Annalisa Fiasella (1 shared paper)
- Journals
- Journal of Inorganic Biochemistry (2 papers)Mini-Reviews in Medicinal Chemistry (1 paper)Blood (1 paper)Expert Opinion on Therapeutic Targets (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Daniela Buac
12 papers receiving 835 citations
Peers
Comparison fields: 5 of 83
- Oncology 304
- Hematology 91
- Organic Chemistry 214
- Molecular Biology 411
- Toxicology 19
Countries citing papers authored by Daniela Buac
This map shows the geographic impact of Daniela Buac'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 Buac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Buac more than expected).
Fields of papers citing papers by Daniela Buac
This network shows the impact of papers produced by Daniela Buac. 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 Buac. The network helps show where Daniela Buac may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Buac, 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 | 2013 | 169 | |
| 2 | 2010 | 139 | |
| 3 | 2013 | 121 | |
| 4 | 2012 | 105 | |
| 5 | 2012 | 99 | |
| 6 | 2014 | 67 | |
| 7 | 2011 | 51 | |
| 8 | 2013 | 44 | |
| 9 | 2017 | 26 | |
| 10 | 2013 | 18 | |
| 11 | 2012 | 11 | |
| 12 | 2013 | 1 |
About Daniela Buac
Daniela Buac is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Infectious Diseases, having authored 12 papers that have together received 851 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Protein Degradation and Inhibitors (3 papers), Metal complexes synthesis and properties (3 papers), Cell death mechanisms and regulation (2 papers), Multiple Myeloma Research and Treatments (2 papers), Peptidase Inhibition and Analysis (2 papers), Cancer Mechanisms and Therapy (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Oncology (304 citations), Hematology (91 citations), Organic Chemistry (214 citations), Molecular Biology (411 citations) and Toxicology (19 citations). Daniela Buac has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Q. Ping Dou, Sara M. Schmitt, Fathima R. Kona, Min Shen, Caifeng Bi, Yuhua Fan, Jian Zuo, Annalisa Fiasella, Andrea Brancale and Andrew D. Westwell. Their work appears in journals such as Journal of Inorganic Biochemistry, Mini-Reviews in Medicinal Chemistry, Blood, Expert Opinion on Therapeutic Targets and Breast Cancer Research and Treatment.
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.