Paul B. Iannini
- Epidemiology top 5%
- Clinical Biochemistry top 0.5%
- Infectious Diseases top 5%
- Pharmacology top 5%
- Molecular Medicine top 2%
- Co-authors
- G J CuchuralTheodore C. EickhoffS M FinegoldN V JacobusJ. Paul O'KeefeKent CrossleyM KünkelMelvin P. Weinstein
- Topics
- Pneumonia and Respiratory Infections (12 papers)Bacterial Identification and Susceptibility Testing (11 papers)Antibiotics Pharmacokinetics and Efficacy (11 papers)
- Partner nations
- United States
In The Last Decade
Paul B. Iannini
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Epidemiology 625
- Clinical Biochemistry 514
- Infectious Diseases 424
- Pharmacology 333
- Molecular Medicine 288
Countries citing papers authored by Paul B. Iannini
This map shows the geographic impact of Paul B. Iannini'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 Paul B. Iannini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul B. Iannini more than expected).
Fields of papers citing papers by Paul B. Iannini
This network shows the impact of papers produced by Paul B. Iannini. 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 Paul B. Iannini. The network helps show where Paul B. Iannini may publish in the future.
Co-authorship network of co-authors of Paul B. Iannini
This figure shows the co-authorship network connecting the top 25 collaborators of Paul B. Iannini. A scholar is included among the top collaborators of Paul B. Iannini 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 Paul B. Iannini. Paul B. Iannini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 12 | |
| 3 | 21 | |
| 4 | 7 | |
| 5 | Macrolide-resistant Streptococcus pneumoniae: clinical implications for the empiric treatment of community-acquired respiratory tract infections. | 0 |
| 6 | Macrolide Failure in Streptococcus pneumoniae Infections is an Identifiable Clinical Event. | 5 |
| 7 | 3 | |
| 8 | 97 | |
| 9 | 31 | |
| 10 | 57 | |
| 11 | 40 | |
| 12 | 22 | |
| 13 | 45 | |
| 14 | 40 | |
| 15 | 48 | |
| 16 | 69 | |
| 17 | 57 | |
| 18 | 165 | |
| 19 | 12 | |
| 20 | 14 |
About Paul B. Iannini
Paul B. Iannini is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Molecular Medicine, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (12 papers), Bacterial Identification and Susceptibility Testing (11 papers) and Antibiotics Pharmacokinetics and Efficacy (11 papers). The work is most often cited by research in Clinical Biochemistry (514 citations), Applied Microbiology and Biotechnology (134 citations) and Molecular Medicine (288 citations). Paul B. Iannini has collaborated with scholars based in United States. Frequent co-authors include G J Cuchural, Theodore C. Eickhoff, S M Finegold, N V Jacobus, J. Paul O'Keefe, Kent Crossley, M Künkel, Melvin P. Weinstein, Charles W. Stratton and Timothy J. Cleary. Their work appears in journals such as New England Journal of Medicine, JAMA and Annals of Internal Medicine.
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.