Daniela Loi
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Hematology top 10%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
-
- Analog and Mixed-Signal Circuit Design 6
- Co-authors
- Luigi Raffo (8 shared papers)R. Galanello (5 shared papers)Antonio Cao (8 shared papers)Paolo Meloni (7 shared papers)Pasquale Montagna (2 shared papers)Federica Provini (2 shared papers)Roberto Vetrugno (2 shared papers)Roberto D’Angelo (2 shared papers)
- Journals
- Human Mutation (4 papers)Movement Disorders (2 papers)Blood Cells Molecules and Diseases (2 papers)British Journal of Haematology (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- ItalyUnited KingdomSwitzerland
In The Last Decade
Daniela Loi
37 papers receiving 534 citations
Peers
Comparison fields: 5 of 98
- Genetics 136
- Hematology 102
- Cognitive Neuroscience 104
- Neurology 77
- Cardiology and Cardiovascular Medicine 68
Countries citing papers authored by Daniela Loi
This map shows the geographic impact of Daniela Loi'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 Loi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Loi more than expected).
Fields of papers citing papers by Daniela Loi
This network shows the impact of papers produced by Daniela Loi. 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 Loi. The network helps show where Daniela Loi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Loi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 62 | |
| 2 | 1998 | 56 | |
| 3 | 1994 | 46 | |
| 4 | 2019 | 37 | |
| 5 | 2006 | 35 | |
| 6 | 2011 | 34 | |
| 7 | 2009 | 33 | |
| 8 | 2021 | 23 | |
| 9 | 1998 | 23 | |
| 10 | 2008 | 20 | |
| 11 | 2012 | 18 | |
| 12 | 2007 | 15 | |
| 13 | 1998 | 13 | |
| 14 | 2011 | 13 | |
| 15 | 1993 | 12 | |
| 16 | 2015 | 12 | |
| 17 | 2019 | 11 | |
| 18 | 2001 | 10 | |
| 19 | 2013 | 8 | |
| 20 | 2015 | 8 |
About Daniela Loi
Daniela Loi is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Genetics and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 552 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (7 papers), Iron Metabolism and Disorders (6 papers), Analog and Mixed-Signal Circuit Design (6 papers), EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (4 papers), Advanced Neural Network Applications (4 papers), Analytical Chemistry and Sensors (4 papers) and Technology Use by Older Adults (4 papers). The work is most often cited by research in Genetics (136 citations), Hematology (102 citations), Cognitive Neuroscience (104 citations), Neurology (77 citations) and Cardiology and Cardiovascular Medicine (68 citations). Daniela Loi has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Luigi Raffo, R. Galanello, Antonio Cao, Paolo Meloni, Pasquale Montagna, Federica Provini, Roberto Vetrugno, Roberto D’Angelo, Anna Mateddu and Massimo Barbaro. Their work appears in journals such as Human Mutation, Movement Disorders, Blood Cells Molecules and Diseases, British Journal of Haematology and Applied Physics Letters.
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.