Gabriella Molinari
- Public Health, Environmental and Occupational Health top 2%
- Infectious Diseases top 5%
- Molecular Biology
- Epidemiology top 10%
- Pharmacology top 10%
- Co-authors
- Gursharan S. ChhatwalManfred RohdeCarlos A. GuzmánSusanne R. TalayGian Carlo SchitoPeter Valentin‐WeigandKenneth N. TimmisA. Pesce
- Topics
- Antimicrobial Resistance in Staphylococcus (13 papers)Streptococcal Infections and Treatments (11 papers)Antibiotic Resistance in Bacteria (7 papers)
- Partner nations
- GermanyItalyKazakhstan
In The Last Decade
Gabriella Molinari
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Public Health, Environmental and Occupational Health 614
- Infectious Diseases 536
- Molecular Biology 449
- Epidemiology 254
- Pharmacology 171
Countries citing papers authored by Gabriella Molinari
This map shows the geographic impact of Gabriella Molinari'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 Gabriella Molinari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella Molinari more than expected).
Fields of papers citing papers by Gabriella Molinari
This network shows the impact of papers produced by Gabriella Molinari. 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 Gabriella Molinari. The network helps show where Gabriella Molinari may publish in the future.
Co-authorship network of co-authors of Gabriella Molinari
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Molinari. A scholar is included among the top collaborators of Gabriella Molinari 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 Gabriella Molinari. Gabriella Molinari 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 | 6 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 25 | |
| 6 | 18 | |
| 7 | 92 | |
| 8 | 119 | |
| 9 | 101 | |
| 10 | 46 | |
| 11 | 90 | |
| 12 | 28 | |
| 13 | DRIVING UNDER THE INFLUENCE OF DRUGS. CORRELATION BETWEEN CLINICAL SIGNS AND TYPE OF INTOXICATION | 1 |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 41 | |
| 17 | 4 | |
| 18 | 16 | |
| 19 | 8 | |
| 20 | 4 |
About Gabriella Molinari
Gabriella Molinari is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (13 papers), Streptococcal Infections and Treatments (11 papers) and Antibiotic Resistance in Bacteria (7 papers). The work is most often cited by research in Infectious Diseases (536 citations), Molecular Medicine (119 citations) and Microbiology (135 citations). Gabriella Molinari has collaborated with scholars based in Germany, Italy and Kazakhstan. Frequent co-authors include Gursharan S. Chhatwal, Manfred Rohde, Carlos A. Guzmán, Susanne R. Talay, Gian Carlo Schito, Peter Valentin‐Weigand, Kenneth N. Timmis, A. Pesce, Eva Medina and Paola Paglia. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Journal of Bacteriology.
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.