Emma Guagnellini
- Cancer Research top 5%
- Oncology top 10%
- Molecular Biology
- Hematology top 10%
- Surgery
- Co-authors
- Maria Luisa BiondiG GhilardiRoberto ScorzaOlivia TurriMaria CaputoDario DililloFederica CecchiniAntonella Zambon
- Topics
- Renal function and acid-base balance (4 papers)Protease and Inhibitor Mechanisms (4 papers)Neonatal Health and Biochemistry (3 papers)
- Partner nations
- Italy
In The Last Decade
Emma Guagnellini
21 papers receiving 672 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 332
- Oncology 236
- Molecular Biology 186
- Hematology 114
- Surgery 99
Countries citing papers authored by Emma Guagnellini
This map shows the geographic impact of Emma Guagnellini'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 Emma Guagnellini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Guagnellini more than expected).
Fields of papers citing papers by Emma Guagnellini
This network shows the impact of papers produced by Emma Guagnellini. 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 Emma Guagnellini. The network helps show where Emma Guagnellini may publish in the future.
Co-authorship network of co-authors of Emma Guagnellini
This figure shows the co-authorship network connecting the top 25 collaborators of Emma Guagnellini. A scholar is included among the top collaborators of Emma Guagnellini 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 Emma Guagnellini. Emma Guagnellini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Ser128Arg gene polymorphism for E-selectin and severity of atherosclerotic arterial disease. | 18 |
| 2 | 37 | |
| 3 | 30 | |
| 4 | 43 | |
| 5 | 51 | |
| 6 | 52 | |
| 7 | A single nucleotide polymorphism in the matrix metalloproteinase-3 promoter enhances breast cancer susceptibility. | 106 |
| 8 | 91 | |
| 9 | Matrix metalloproteinase-1 promoter polymorphism 1G/2G is correlated with colorectal cancer invasiveness. | 135 |
| 10 | Homocysteine concentration in primary and systemic sclerosis associated Raynaud's phenomenon. | 30 |
| 11 | 38 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | 11 | |
| 20 | 2 |
About Emma Guagnellini
Emma Guagnellini is a scholar working on Nephrology, Bioengineering and Cancer Research, having authored 21 papers that have together received 693 indexed citations. Recurring topics across this work include Renal function and acid-base balance (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Cancer Research (332 citations), Immunology and Allergy (67 citations) and Hematology (114 citations). Emma Guagnellini has collaborated with scholars based in Italy. Frequent co-authors include Maria Luisa Biondi, G Ghilardi, Roberto Scorza, Olivia Turri, Maria Caputo, Dario Dilillo, Federica Cecchini, Antonella Zambon, F. Zoppi and Adriana Lombardo. Their work appears in journals such as Stroke, Clinical Chemistry and Journal of Vascular Surgery.
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.