Manuela Gariboldi
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 2%
- Genetics top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Marco A. PierottiTommaso A. DraganiGiacomo ManentiLoris De CeccoJames F. ReidSilvana PilottiFelicia Stefania FalvellaFederico Canzian
- Topics
- Genetic factors in colorectal cancer (12 papers)MicroRNA in disease regulation (12 papers)Cancer-related molecular mechanisms research (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNature GeneticsSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Manuela Gariboldi
100 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 2.2k
- Cancer Research 1.1k
- Oncology 1.0k
- Genetics 480
- Pathology and Forensic Medicine 362
Countries citing papers authored by Manuela Gariboldi
This map shows the geographic impact of Manuela Gariboldi'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 Manuela Gariboldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuela Gariboldi more than expected).
Fields of papers citing papers by Manuela Gariboldi
This network shows the impact of papers produced by Manuela Gariboldi. 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 Manuela Gariboldi. The network helps show where Manuela Gariboldi may publish in the future.
Co-authorship network of co-authors of Manuela Gariboldi
This figure shows the co-authorship network connecting the top 25 collaborators of Manuela Gariboldi. A scholar is included among the top collaborators of Manuela Gariboldi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manuela Gariboldi. Manuela Gariboldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 16 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 46 | |
| 8 | 53 | |
| 9 | 11 | |
| 10 | 112 | |
| 11 | 50 | |
| 12 | 114 | |
| 13 | 26 | |
| 14 | 12 | |
| 15 | 34 | |
| 16 | 94 | |
| 17 | 28 | |
| 18 | 36 | |
| 19 | 10 | |
| 20 | 16 |
About Manuela Gariboldi
Manuela Gariboldi is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 104 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (12 papers), MicroRNA in disease regulation (12 papers) and Cancer-related molecular mechanisms research (11 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.0k citations) and Molecular Biology (2.2k citations). Manuela Gariboldi has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Marco A. Pierotti, Tommaso A. Dragani, Giacomo Manenti, Loris De Cecco, James F. Reid, Silvana Pilotti, Felicia Stefania Falvella, Federico Canzian, Cristina Ferrario and Laura De Gregorio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.
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.