Maria Lasalvia
- Biophysics top 1%
- Analytical Chemistry top 2%
- Molecular Biology
- Biomedical Engineering
- Organic Chemistry
- Co-authors
- V. CapozziG. PernaVincenzo PiccialliMarcella de ChampdoréLorenzo MantiMaria LeporeInes DelfinoDonato Sica
- Topics
- Spectroscopy Techniques in Biomedical and Chemical Research (32 papers)Spectroscopy and Chemometric Analyses (28 papers)Bee Products Chemical Analysis (11 papers)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Maria Lasalvia
53 papers receiving 692 citations
Peers
Comparison fields: 5 of 128
- Biophysics 270
- Analytical Chemistry 171
- Molecular Biology 142
- Biomedical Engineering 111
- Organic Chemistry 101
Countries citing papers authored by Maria Lasalvia
This map shows the geographic impact of Maria Lasalvia'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 Maria Lasalvia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Lasalvia more than expected).
Fields of papers citing papers by Maria Lasalvia
This network shows the impact of papers produced by Maria Lasalvia. 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 Maria Lasalvia. The network helps show where Maria Lasalvia may publish in the future.
Co-authorship network of co-authors of Maria Lasalvia
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Lasalvia. A scholar is included among the top collaborators of Maria Lasalvia 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 Maria Lasalvia. Maria Lasalvia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 15 | |
| 12 | 24 | |
| 13 | 17 | |
| 14 | 15 | |
| 15 | 4 | |
| 16 | 34 | |
| 17 | 5 | |
| 18 | 84 | |
| 19 | Salivary markers of work stress in an emergency team of urban police (1 degree step). | 14 |
| 20 | Valutazione della variabilità della frequenza cardiaca (HRV) come indice di stress in addetti al pronto intervento nella polizia urbana | 2 |
About Maria Lasalvia
Maria Lasalvia is a scholar working on Biophysics, Analytical Chemistry and Insect Science, having authored 53 papers that have together received 704 indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (32 papers), Spectroscopy and Chemometric Analyses (28 papers) and Bee Products Chemical Analysis (11 papers). The work is most often cited by research in Biophysics (270 citations), Analytical Chemistry (171 citations) and Biochemistry (51 citations). Maria Lasalvia has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include V. Capozzi, G. Perna, Vincenzo Piccialli, Marcella de Champdoré, Lorenzo Manti, Maria Lepore, Ines Delfino, Donato Sica, Crescenzio Gallo and Roberto Zefferino. Their work appears in journals such as Applied Physics Letters, PLoS ONE and International Journal of Molecular Sciences.
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.