Peter J. Laud
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- Antibiotic Resistance in Bacteria 3
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- Statistical Methods in Clinical Trials 3
- Statistical Methods and Bayesian Inference 2
- Co-authors
- Leanne B. Gasink (1 shared paper)Angela Wardman (1 shared paper)Greg G. Stone (1 shared paper)Yehuda Carmeli (1 shared paper)Paul A. Newell (1 shared paper)Jon M. Armstrong (1 shared paper)Arshad Majid (6 shared papers)Joseph W. Chow (2 shared papers)
- Journals
- Pharmaceutical Statistics (3 papers)The Lancet Infectious Diseases (2 papers)British Journal of Cancer (2 papers)PLoS ONE (1 paper)International Journal of Clinical Oncology (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Peter J. Laud
24 papers receiving 1.7k citations
Peter J. Laud's Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Medicine 585
- Applied Microbiology and Biotechnology 194
- Neurology 279
- Pharmacology 367
- Critical Care and Intensive Care Medicine 81
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 | 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 | 373 |
| 2 | 2016 | 363 | |
| 3 | 2018 | 241 | |
| 4 | 2004 | 131 | |
| 5 | 2019 | 118 | |
| 6 | 2017 | 114 | |
| 7 | 2012 | 87 | |
| 8 | 2019 | 51 | |
| 9 | 2016 | 40 | |
| 10 | 2020 | 39 | |
| 11 | 2019 | 26 | |
| 12 | 2017 | 24 | |
| 13 | 2005 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2014 | 13 | |
| 16 | 2005 | 12 | |
| 17 | 2018 | 10 | |
| 18 | 2023 | 7 | |
| 19 | 2017 | 5 | |
| 20 | 2018 | 5 |
About Peter J. Laud
Peter J. Laud is a scholar working on Molecular Medicine, Statistics and Probability, Urology, Oncology and Neurology, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (3 papers), Lung Cancer Research Studies (3 papers), Antibiotic Resistance in Bacteria (3 papers), Biochemical effects in animals (3 papers), Vagus Nerve Stimulation Research (2 papers), Statistical Methods and Bayesian Inference (2 papers), Hair Growth and Disorders (2 papers) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Molecular Medicine (585 citations), Applied Microbiology and Biotechnology (194 citations), Neurology (279 citations), Pharmacology (367 citations) and Critical Care and Intensive Care Medicine (81 citations). Peter J. Laud has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Leanne B. Gasink, Angela Wardman, Greg G. Stone, Yehuda Carmeli, Paul A. Newell, Jon M. 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, PLoS ONE and International Journal of Clinical Oncology.
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.