Maria Staiano
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Bioengineering top 2%
- Co-authors
- Sabato D’AuriaAntonio VarrialeMosé RossiAnna PennacchioAlessandro CapoAnna MarabottiLuigi ZeniNunzio Cennamo
- Topics
- Enzyme Structure and Function (35 papers)Protein Structure and Dynamics (32 papers)Amino Acid Enzymes and Metabolism (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAnalytical Chemistry
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
Maria Staiano
107 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 892
- Biomedical Engineering 666
- Materials Chemistry 390
- Electrical and Electronic Engineering 341
- Bioengineering 196
Countries citing papers authored by Maria Staiano
This map shows the geographic impact of Maria Staiano'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 Staiano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Staiano more than expected).
Fields of papers citing papers by Maria Staiano
This network shows the impact of papers produced by Maria Staiano. 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 Staiano. The network helps show where Maria Staiano may publish in the future.
Co-authorship network of co-authors of Maria Staiano
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Staiano. A scholar is included among the top collaborators of Maria Staiano 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 Staiano. Maria Staiano 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 | 6 | |
| 3 | 10 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 81 | |
| 11 | 18 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | Simple Methods for Estimating Highway Noise | 0 |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 25 | |
| 18 | Representing Highway Noise Exposures—Confessions of a Contourtionist | 0 |
| 19 | 5 | |
| 20 | CONTROL OF WHEEL SQUEAL NOISE IN RAIL TRANSIT CARS | 1 |
About Maria Staiano
Maria Staiano is a scholar working on Biochemistry, Sensory Systems and Gastroenterology, having authored 111 papers that have together received 1.8k indexed citations. Recurring topics across this work include Enzyme Structure and Function (35 papers), Protein Structure and Dynamics (32 papers) and Amino Acid Enzymes and Metabolism (15 papers). The work is most often cited by research in Sensory Systems (177 citations), Bioengineering (196 citations) and Biomedical Engineering (666 citations). Maria Staiano has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Sabato D’Auria, Antonio Varriale, Mosé Rossi, Anna Pennacchio, Alessandro Capo, Anna Marabotti, Luigi Zeni, Nunzio Cennamo, Viviana Scognamiglio and Angela Pennacchio. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.
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.