Laura J. V. Piddock
- Molecular Medicine top 0.01%
- Antibiotic Resistance in Bacteria 184
- Applied Microbiology and Biotechnology top 0.05%
- Antibiotic Use and Resistance 29
- Endocrinology top 0.05%
- Pollution top 0.1%
- Pharmaceutical and Antibiotic Environmental Impacts 34
- Microbiology top 0.1%
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- Antibiotics Pharmacokinetics and Efficacy 84
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- Salmonella and Campylobacter epidemiology 52
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- Bacterial Genetics and Biotechnology 29
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- Cancer therapeutics and mechanisms 26
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- Pneumonia and Respiratory Infections 23
- Co-authors
- Mark WebberJessica M. A. BlairAlison J. BaylayDavid Olusoga OgboluVito RicciMartin J. WoodwardLuke MoorePhilippe J. Guérin
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Laura J. V. Piddock
259 papers receiving 21.6k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Molecular Medicine 11.2k
- Applied Microbiology and Biotechnology 1.7k
- Endocrinology 3.2k
- Pollution 3.4k
- Microbiology 1.7k
Countries citing papers authored by Laura J. V. Piddock
This map shows the geographic impact of Laura J. V. Piddock'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 Laura J. V. Piddock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura J. V. Piddock more than expected).
Fields of papers citing papers by Laura J. V. Piddock
This network shows the impact of papers produced by Laura J. V. Piddock. 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 Laura J. V. Piddock. The network helps show where Laura J. V. Piddock may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura J. V. Piddock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 40 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 26 | |
| 8 | 2020 | 64 | |
| 9 | 2019 | 15 | |
| 10 | 2018 | 29 | |
| 11 | 2018 | 140 | |
| 12 | 2018 | 174 | |
| 13 | 2018 | 13 | |
| 14 | 2017 | 89 | |
| 15 | 2017 | 118 | |
| 16 | 2016 | 127 | |
| 17 | 2015 | 115 | |
| 18 | 2013 | 61 | |
| 19 | 2008 | 84 | |
| 20 | 1995 | 59 |
About Laura J. V. Piddock
Laura J. V. Piddock is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 262 papers that have together received 22.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (184 papers), Antibiotics Pharmacokinetics and Efficacy (84 papers), Salmonella and Campylobacter epidemiology (52 papers), Pharmaceutical and Antibiotic Environmental Impacts (34 papers), Antibiotic Use and Resistance (29 papers), Bacterial Genetics and Biotechnology (29 papers), Cancer therapeutics and mechanisms (26 papers) and Pneumonia and Respiratory Infections (23 papers). The work is most often cited by research in Molecular Medicine (11.2k citations), Applied Microbiology and Biotechnology (1.7k citations) and Endocrinology (3.2k citations). Laura J. V. Piddock has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Mark Webber, Jessica M. A. Blair, Alison J. Baylay, David Olusoga Ogbolu, Vito Ricci, Martin J. Woodward, Luke Moore, Philippe J. Guérin, Alison Holmes and Abhilasha Karkey. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.
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.