Peter J. Laud
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
-
- Antibiotic Use and Resistance
Papers in
-
- Pneumonia and Respiratory Infections 2
- Oncology 4
- Lung Cancer Research Studies 3
- Co-authors
- Yehuda Carmeli (1 shared paper)Paul Newell (1 shared paper)Angela Wardman (1 shared paper)Greg Stone (1 shared paper)Leanne B. Gasink (1 shared paper)J. Armstrong (1 shared paper)Arshad Majid (6 shared papers)Joseph W. Chow (3 shared papers)
- Journals
- Pharmaceutical Statistics (2 papers)The Lancet Infectious Diseases (2 papers)British Journal of Cancer (2 papers)Neuropharmacology (1 paper)Open Forum Infectious Diseases (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Peter J. Laud
24 papers receiving 1.4k citations
Peter J. Laud's Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Medicine 514
- Applied Microbiology and Biotechnology 175
- Neurology 260
- Pharmacology 337
- Critical Care and Intensive Care Medicine 67
Countries citing papers authored by Peter J. Laud
This map shows the geographic impact of Peter J. Laud'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 Peter J. Laud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Laud more than expected).
Fields of papers citing papers by Peter J. Laud
This network shows the impact of papers produced by Peter J. Laud. 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 Peter J. Laud. The network helps show where Peter J. Laud may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter J. Laud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 326 | |
| 2 | Ceftazidime-avibactam versus meropenem in nosocomial pneumonia, including ventilator-associated pneumonia (REPROVE): a randomised, double-blind, phase 3 non-inferiority trial Hit paper breakdown → | 2017 | 326 |
| 3 | 2018 | 218 | |
| 4 | 2004 | 125 | |
| 5 | 2017 | 106 | |
| 6 | 2012 | 83 | |
| 7 | 2019 | 50 | |
| 8 | 2016 | 36 | |
| 9 | 2020 | 34 | |
| 10 | 2019 | 25 | |
| 11 | 2005 | 17 | |
| 12 | 2017 | 17 | |
| 13 | 2021 | 14 | |
| 14 | 2014 | 10 | |
| 15 | 2005 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2017 | 5 |
About Peter J. Laud
Peter J. Laud is a scholar working on Epidemiology, Oncology, Molecular Medicine, Physiology and Surgery, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Lung Cancer Research Studies (3 papers), Biochemical effects in animals (3 papers), Pneumonia and Respiratory Infections (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Statistical Methods and Bayesian Inference (2 papers), Hair Growth and Disorders (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Molecular Medicine (514 citations), Applied Microbiology and Biotechnology (175 citations), Neurology (260 citations), Pharmacology (337 citations) and Critical Care and Intensive Care Medicine (67 citations). Peter J. Laud has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Yehuda Carmeli, Paul Newell, Angela Wardman, Greg Stone, Leanne B. Gasink, J. Armstrong, Arshad Majid, Joseph W. Chow, Jie Song and Gregory G. Stone. Their work appears in journals such as Pharmaceutical Statistics, The Lancet Infectious Diseases, British Journal of Cancer, Neuropharmacology and Open Forum Infectious Diseases.
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.