Luisa Pieroni
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Molecular Biology top 10%
- Viral Infectious Diseases and Gene Expression in Insects
- RNA Interference and Gene Delivery
Papers in
- Neurology 10
- Amyotrophic Lateral Sclerosis Research 5
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- Erythropoietin and Anemia Treatment 4
- Co-authors
- Andrea UrbaniNicola La MonicaViviana GrecoMaurizio RonciDomenico MaioneFlaminia PavoneSara MarinelliValentina Vacca
- Journals
- International Journal of Molecular Sciences (7 papers)Molecular BioSystems (7 papers)Journal of Proteome Research (3 papers)Scientific Reports (2 papers)Frontiers in Cell and Developmental Biology (2 papers)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Luisa Pieroni
63 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 117
- Nephrology 112
- Molecular Biology 905
- Spectroscopy 188
- Physiology 283
- Genetics 286
Countries citing papers authored by Luisa Pieroni
This map shows the geographic impact of Luisa Pieroni'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 Luisa Pieroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Pieroni more than expected).
Fields of papers citing papers by Luisa Pieroni
This network shows the impact of papers produced by Luisa Pieroni. 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 Luisa Pieroni. The network helps show where Luisa Pieroni may publish in the future.
Co-authors
The 25 scholars most cited alongside Luisa Pieroni, 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 | 2023 | 4 | |
| 2 | 2022 | 8 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 17 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 15 | |
| 9 | 2015 | 34 | |
| 10 | 2015 | 19 | |
| 11 | 2015 | 27 | |
| 12 | 2015 | 34 | |
| 13 | 2014 | 33 | |
| 14 | 2013 | 13 | |
| 15 | 2013 | 101 | |
| 16 | 2012 | 34 | |
| 17 | 2011 | 13 | |
| 18 | 2010 | 31 | |
| 19 | 2008 | 81 | |
| 20 | 1998 | 43 |
About Luisa Pieroni
Luisa Pieroni is a scholar working on Neurology, Hematology, Nephrology, Molecular Biology and Spectroscopy, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Blood properties and coagulation (4 papers), Virus-based gene therapy research (4 papers), CRISPR and Genetic Engineering (4 papers), Dialysis and Renal Disease Management (4 papers), Ubiquitin and proteasome pathways (4 papers) and Erythropoietin and Anemia Treatment (4 papers). The work is most often cited by research in Nephrology (112 citations), Molecular Biology (905 citations), Spectroscopy (188 citations), Physiology (283 citations) and Genetics (286 citations). Luisa Pieroni has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Andrea Urbani, Nicola La Monica, Viviana Greco, Maurizio Ronci, Domenico Maione, Flaminia Pavone, Sara Marinelli, Valentina Vacca, Siro Luvisetto and Giorgio Federici. Their work appears in journals such as International Journal of Molecular Sciences, Molecular BioSystems, Journal of Proteome Research, Scientific Reports and Frontiers in Cell and Developmental Biology.
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.