Daniela Baiocchi
Impact in
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- Melanoma and MAPK Pathways
- Protein Kinase Regulation and GTPase Signaling
- Gene Regulatory Network Analysis
- Receptor Mechanisms and Signaling
- Bioinformatics and Genomic Networks
- Cancer therapeutics and mechanisms
Papers in
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- Cancer, Lipids, and Metabolism 2
- Cancer Genomics and Diagnostics 1
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- Melanoma and MAPK Pathways 1
- Cancer therapeutics and mechanisms 1
- Co-authors
- David Sumpton (1 shared paper)Walter Kölch (1 shared paper)Alex von Kriegsheim (1 shared paper)Richard Orton (1 shared paper)David Gilbert (1 shared paper)Nicholas A. Morrice (1 shared paper)Marc R. Birtwistle (1 shared paper)Angus I. Lamond (1 shared paper)
- Journals
- Oncology Reports (2 papers)The FASEB Journal (1 paper)Journal of Medicinal Chemistry (1 paper)Nature Cell Biology (1 paper)Toxicon (1 paper)
- Partner nations
- ItalyIrelandUnited Kingdom
In The Last Decade
Daniela Baiocchi
7 papers receiving 351 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 246
- Toxicology 10
- Cell Biology 36
- Oncology 52
- Biophysics 11
Countries citing papers authored by Daniela Baiocchi
This map shows the geographic impact of Daniela Baiocchi'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 Baiocchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Baiocchi more than expected).
Fields of papers citing papers by Daniela Baiocchi
This network shows the impact of papers produced by Daniela Baiocchi. 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 Baiocchi. The network helps show where Daniela Baiocchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Baiocchi, 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 | 2009 | 233 | |
| 2 | 2009 | 60 | |
| 3 | 2003 | 31 | |
| 4 | 2005 | 14 | |
| 5 | 2005 | 9 | |
| 6 | 2006 | 6 | |
| 7 | Caveolin-1 as a novel target of therapeutic activity of Fenretinide in osteosarcoma and glioblastoma in vitro | 2005 | 1 |
About Daniela Baiocchi
Daniela Baiocchi is a scholar working on Cancer Research, Molecular Biology, Oncology, Cell Biology and Plant Science, having authored 7 papers that have together received 354 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Caveolin-1 and cellular processes (2 papers), Cancer Genomics and Diagnostics (1 paper), Melanoma and MAPK Pathways (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Cancer therapeutics and mechanisms (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Molecular Biology (246 citations), Toxicology (10 citations), Cell Biology (36 citations), Oncology (52 citations) and Biophysics (11 citations). Daniela Baiocchi has collaborated with scholars based in Italy, Ireland and United Kingdom. Frequent co-authors include David Sumpton, Walter Kölch, Alex von Kriegsheim, Richard Orton, David Gilbert, Nicholas A. Morrice, Marc R. Birtwistle, Angus I. Lamond, Kayo Yamada and Willy V. Bienvenut. Their work appears in journals such as Oncology Reports, The FASEB Journal, Journal of Medicinal Chemistry, Nature Cell Biology and Toxicon.
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.