Alessandro Datti
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Glycosylation and Glycoproteins Research
Papers in
-
- Glycosylation and Glycoproteins Research 12
- Ubiquitin and proteasome pathways 7
- PI3K/AKT/mTOR signaling in cancer 5
- Cancer therapeutics and mechanisms 5
- Hematology 10
- Multiple Myeloma Research and Treatments 5
- Co-authors
- Jeffrey L. WranaPayman Samavarchi‐TehraniTobias A. BeyerAzadeh GolipourKnut WoltjenLaurent DavidAndrás NagyHoon‐Ki Sung
- Journals
- Blood (11 papers)Cancer Research (6 papers)Oncotarget (5 papers)Journal of Biological Chemistry (4 papers)Analytical Biochemistry (3 papers)
- Partner nations
- CanadaItalyUnited States
In The Last Decade
Alessandro Datti
95 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 618
- Molecular Biology 2.7k
- Oncology 812
- Cell Biology 339
- Genetics 183
Countries citing papers authored by Alessandro Datti
This map shows the geographic impact of Alessandro Datti'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 Alessandro Datti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Datti more than expected).
Fields of papers citing papers by Alessandro Datti
This network shows the impact of papers produced by Alessandro Datti. 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 Alessandro Datti. The network helps show where Alessandro Datti may publish in the future.
Co-authors
The 25 scholars most cited alongside Alessandro Datti, 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 | 5 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 9 | |
| 5 | 2020 | 107 | |
| 6 | 2020 | 6 | |
| 7 | 2016 | 169 | |
| 8 | 2016 | 26 | |
| 9 | 2015 | 134 | |
| 10 | 2015 | 32 | |
| 11 | 2011 | 69 | |
| 12 | 2011 | 76 | |
| 13 | 2011 | 12 | |
| 14 | 2009 | 84 | |
| 15 | 2008 | 23 | |
| 16 | 2007 | 45 | |
| 17 | 2003 | 15 | |
| 18 | 1998 | 12 | |
| 19 | 1997 | 12 | |
| 20 | 1991 | 5 |
About Alessandro Datti
Alessandro Datti is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Immunology and Allergy, having authored 97 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), Glycosylation and Glycoproteins Research (12 papers), Carbohydrate Chemistry and Synthesis (8 papers), Ubiquitin and proteasome pathways (7 papers), Galectins and Cancer Biology (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Multiple Myeloma Research and Treatments (5 papers) and Cancer therapeutics and mechanisms (5 papers). The work is most often cited by research in Cancer Research (618 citations), Molecular Biology (2.7k citations), Oncology (812 citations), Cell Biology (339 citations) and Genetics (183 citations). Alessandro Datti has collaborated with scholars based in Canada, Italy and United States. Frequent co-authors include Jeffrey L. Wrana, Payman Samavarchi‐Tehrani, Tobias A. Beyer, Azadeh Golipour, Knut Woltjen, Laurent David, András Nagy, Hoon‐Ki Sung, Aaron D. Schimmer and Rose Hurren. Their work appears in journals such as Blood, Cancer Research, Oncotarget, Journal of Biological Chemistry and Analytical Biochemistry.
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.