P. Rocco LaSala
- Epidemiology top 10%
- Clinical Biochemistry top 1%
- Infectious Diseases top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Co-authors
- Donald A. WilsonJames J. DunnDag HarmsenPeter C. IwenAlexander MellmannGerri S. HallJoann L. CloudMarkus Kostrzewa
- Topics
- Antimicrobial Resistance in Staphylococcus (7 papers)Bacterial Identification and Susceptibility Testing (6 papers)Antifungal resistance and susceptibility (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEApplied and Environmental Microbiology
- Partner nations
- United StatesItalyGermany
In The Last Decade
P. Rocco LaSala
32 papers receiving 811 citations
Peers
Comparison fields: 5 of 99
- Epidemiology 340
- Clinical Biochemistry 291
- Infectious Diseases 243
- Molecular Biology 159
- Public Health, Environmental and Occupational Health 131
Countries citing papers authored by P. Rocco LaSala
This map shows the geographic impact of P. Rocco LaSala'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. Rocco LaSala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Rocco LaSala more than expected).
Fields of papers citing papers by P. Rocco LaSala
This network shows the impact of papers produced by P. Rocco LaSala. 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. Rocco LaSala. The network helps show where P. Rocco LaSala may publish in the future.
Co-authorship network of co-authors of P. Rocco LaSala
This figure shows the co-authorship network connecting the top 25 collaborators of P. Rocco LaSala. A scholar is included among the top collaborators of P. Rocco LaSala 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. Rocco LaSala. P. Rocco LaSala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | 14 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 35 | |
| 14 | 36 | |
| 15 | 7 | |
| 16 | 89 | |
| 17 | 25 | |
| 18 | 20 | |
| 19 | 21 | |
| 20 | 13 |
About P. Rocco LaSala
P. Rocco LaSala is a scholar working on Microbiology, Infectious Diseases and Clinical Biochemistry, having authored 34 papers that have together received 835 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (6 papers) and Antifungal resistance and susceptibility (5 papers). The work is most often cited by research in Microbiology (65 citations), Clinical Biochemistry (291 citations) and Endocrinology (78 citations). P. Rocco LaSala has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Donald A. Wilson, James J. Dunn, Dag Harmsen, Peter C. Iwen, Alexander Mellmann, Gerri S. Hall, Joann L. Cloud, Markus Kostrzewa, T. Maier and Michael R. Holbrook. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.
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.