Peter A. Lambert

228 papers receiving 7.7k citations

Peter A. Lambert's Hit Papers

Post-COVID-19 Adaptations; the Shifts Towards Online Learning, Hybrid Course Delivery and the Implications for Biosciences Courses in the Higher Education Setting 2021 · 208 citations
2080+1+3Years since publication50100150200

Peers

Peter A. Lambert
Comparison fields: 5 of 203
  • Molecular Medicine 1.1k
  • Applied Microbiology and Biotechnology 217
  • Endocrinology 522
  • Microbiology 551
  • Infectious Diseases 1.4k
Replace Michael M. Tunney with:
Michael M. Tunney United Kingdom
Patrick R. Murray United States
Yee‐Chun Chen Taiwan
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Citations per year

Countries citing papers authored by Peter A. Lambert

Since Specialization
Citations

This map shows the geographic impact of Peter A. Lambert'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 A. Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter A. Lambert more than expected).

Fields of papers citing papers by Peter A. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Lambert. 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 A. Lambert. The network helps show where Peter A. Lambert may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter A. Lambert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter A. Lambert Line = papers co-authored together Peter A. Lambert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 233 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanisms of antibiotic resistance in Pseudomonas aeruginosa.
2002382
2 2002358
3 2009298
4 2005288
5 2001253
6 2009252
7 2013239
8
Post-COVID-19 Adaptations; the Shifts Towards Online Learning, Hybrid Course Delivery and the Implications for Biosciences Courses in the Higher Education Setting
Hit paper breakdown →
2021208
9 2011196
10 1995164
11 2008147
12 1973145
13 1984138
14 2002132
15 2011132
16 2008130
17 2006128
18 2002122
19 1977118
20 2011115

About Peter A. Lambert

Peter A. Lambert is a scholar working on Infectious Diseases, Molecular Medicine, Clinical Biochemistry, Epidemiology and Endocrinology, having authored 233 papers that have together received 8.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (36 papers), Antibiotic Resistance in Bacteria (34 papers), Bacterial biofilms and quorum sensing (26 papers), Infective Endocarditis Diagnosis and Management (20 papers), Bacterial Identification and Susceptibility Testing (18 papers), Streptococcal Infections and Treatments (18 papers), Antibiotics Pharmacokinetics and Efficacy (13 papers) and Bacterial Genetics and Biotechnology (13 papers). The work is most often cited by research in Molecular Medicine (1.1k citations), Applied Microbiology and Biotechnology (217 citations), Endocrinology (522 citations), Microbiology (551 citations) and Infectious Diseases (1.4k citations). Peter A. Lambert has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Tony Worthington, Thomas Elliott, Barbara R. Conway, Michael Brown, A.L. Casey, T.J. Karpanen, JAMES BADDILEY, Ann B. Vernallis, Tom SJ Elliott and Thomas Elliott. Their work appears in journals such as Journal of Hospital Infection, Journal of Antimicrobial Chemotherapy, Microbiology, Journal of Medical Microbiology and Journal of Infection.

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.

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