John P. Manzella
- Epidemiology top 10%
- Clinical Biochemistry top 2%
- Public Health, Environmental and Occupational Health
- Infectious Diseases top 10%
- Molecular Biology
- Co-authors
- James A. KelloggDavid A. BankertNorbert J. RobertsKelly ParseySally CavanaughJohn L. GreenCaroline B. HallRonald Benenson
- Topics
- Bacterial Identification and Susceptibility Testing (8 papers)Antimicrobial Resistance in Staphylococcus (4 papers)Antibiotic Resistance in Bacteria (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
John P. Manzella
22 papers receiving 519 citations
Peers
Comparison fields: 5 of 88
- Epidemiology 264
- Clinical Biochemistry 188
- Public Health, Environmental and Occupational Health 138
- Infectious Diseases 130
- Molecular Biology 57
Countries citing papers authored by John P. Manzella
This map shows the geographic impact of John P. Manzella'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 John P. Manzella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Manzella more than expected).
Fields of papers citing papers by John P. Manzella
This network shows the impact of papers produced by John P. Manzella. 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 John P. Manzella. The network helps show where John P. Manzella may publish in the future.
Co-authorship network of co-authors of John P. Manzella
This figure shows the co-authorship network connecting the top 25 collaborators of John P. Manzella. A scholar is included among the top collaborators of John P. Manzella 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 John P. Manzella. John P. Manzella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Quinupristin-dalfopristin: a new antibiotic for severe gram-positive infections. | 25 |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 116 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 30 | |
| 8 | 31 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 44 | |
| 12 | 10 | |
| 13 | 0 | |
| 14 | 56 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | 46 | |
| 18 | 22 | |
| 19 | 51 | |
| 20 | 15 |
About John P. Manzella
John P. Manzella is a scholar working on Clinical Biochemistry, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 24 papers that have together received 577 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (8 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Clinical Biochemistry (188 citations), Endocrinology (55 citations) and Epidemiology (264 citations). John P. Manzella has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James A. Kellogg, David A. Bankert, Norbert J. Roberts, Kelly Parsey, Sally Cavanaugh, John L. Green, Caroline B. Hall, Ronald Benenson, Theodore Bell and Ella M. Swierkosz. Their work appears in journals such as JAMA, The Journal of Immunology and PEDIATRICS.
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.