Phillip J. Bergen
- Molecular Medicine top 0.1%
- Pharmacology top 0.5%
- Epidemiology top 5%
- Molecular Biology
- Applied Microbiology and Biotechnology top 0.5%
- Co-authors
- Jian LiRoger L. NationCornelia B. LandersdorferBrian T. TsujiAlan ForrestJürgen B. BulittaCraig R. RaynerTony Velkov
- Topics
- Antibiotic Resistance in Bacteria (63 papers)Antibiotics Pharmacokinetics and Efficacy (56 papers)Antibiotic Use and Resistance (15 papers)
- Journals
- Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Phillip J. Bergen
78 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Medicine 2.2k
- Pharmacology 1.6k
- Epidemiology 893
- Molecular Biology 655
- Applied Microbiology and Biotechnology 380
Countries citing papers authored by Phillip J. Bergen
This map shows the geographic impact of Phillip J. Bergen'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 Phillip J. Bergen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip J. Bergen more than expected).
Fields of papers citing papers by Phillip J. Bergen
This network shows the impact of papers produced by Phillip J. Bergen. 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 Phillip J. Bergen. The network helps show where Phillip J. Bergen may publish in the future.
Co-authorship network of co-authors of Phillip J. Bergen
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip J. Bergen. A scholar is included among the top collaborators of Phillip J. Bergen 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 Phillip J. Bergen. Phillip J. Bergen 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 | 11 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 20 | |
| 12 | 11 | |
| 13 | 19 | |
| 14 | 27 | |
| 15 | 71 | |
| 16 | 27 | |
| 17 | 104 | |
| 18 | Development of an online pharmaceutical calculations learning module | 1 |
| 19 | Pharmacokinetic (PK)/Pharmacodynamic (PD) Investigation of Colistin (C) Against Pseudomonas aeruginosa (Pa) Using an In Vitro Model | 2 |
| 20 | Design and implementation of a library-based information service in molecular biology and genetics at the University of Pittsburgh. | 19 |
About Phillip J. Bergen
Phillip J. Bergen is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Pharmacology, having authored 79 papers that have together received 3.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (63 papers), Antibiotics Pharmacokinetics and Efficacy (56 papers) and Antibiotic Use and Resistance (15 papers). The work is most often cited by research in Molecular Medicine (2.2k citations), Applied Microbiology and Biotechnology (380 citations) and Pharmacology (1.6k citations). Phillip J. Bergen has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Jian Li, Roger L. Nation, Cornelia B. Landersdorfer, Brian T. Tsuji, Alan Forrest, Jürgen B. Bulitta, Craig R. Rayner, Tony Velkov, Yan Zhu and Xukai Jiang. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.