P. Fasella
- Molecular Biology top 5%
- Materials Chemistry top 5%
- Biochemistry top 0.5%
- Cell Biology top 5%
- Spectroscopy top 2%
- Co-authors
- Gordon G. HammesG. CareriEnrico GrattonFrancesca RivaC TuranoMarino Martinez‐CarrionFrancesco BossaA. Giartosio
- Topics
- Amino Acid Enzymes and Metabolism (18 papers)Enzyme Structure and Function (17 papers)Protein Structure and Dynamics (9 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
P. Fasella
90 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.8k
- Materials Chemistry 1.0k
- Biochemistry 664
- Cell Biology 429
- Spectroscopy 369
Countries citing papers authored by P. Fasella
This map shows the geographic impact of P. Fasella'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 P. Fasella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Fasella more than expected).
Fields of papers citing papers by P. Fasella
This network shows the impact of papers produced by P. Fasella. 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 P. Fasella. The network helps show where P. Fasella may publish in the future.
Co-authorship network of co-authors of P. Fasella
This figure shows the co-authorship network connecting the top 25 collaborators of P. Fasella. A scholar is included among the top collaborators of P. Fasella 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 P. Fasella. P. Fasella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | Rat brain monitoring by near-infrared spectroscopy: an assessment of possible clinical significance. | 29 |
| 4 | X-ray absorption spectroscopy (EXAFS and XANES) a structural tool for calcium binding proteins: effect of Mg2+ on Ca2+ binding sites of troponin-C. | 1 |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 27 | |
| 10 | 15 | |
| 11 | Determination of glutamic acid decarboxylase activity using a PH-STAT apparatus. | 5 |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 15 | |
| 16 | 23 | |
| 17 | 79 | |
| 18 | 32 | |
| 19 | [On the mechanism of action of glutamic-aspartic transaminase: kinetic studies]. | 1 |
| 20 | 5 |
About P. Fasella
P. Fasella is a scholar working on Biochemistry, Clinical Biochemistry and Biophysics, having authored 91 papers that have together received 3.0k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (18 papers), Enzyme Structure and Function (17 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Biochemistry (664 citations), Clinical Biochemistry (286 citations) and Cell Biology (429 citations). P. Fasella has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gordon G. Hammes, G. Careri, Enrico Gratton, Francesca Riva, C Turano, Marino Martinez‐Carrion, Francesco Bossa, A. Giartosio, Maarten R. Egmond and Robert F. Pasternack. Their work appears in journals such as Science, The Lancet and Journal of the American Chemical Society.
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.