Pascal Lapierre
Impact in
- Endocrinology top 2%
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Genomics and Phylogenetic Studies 20
- RNA and protein synthesis mechanisms 8
-
- Tuberculosis Research and Epidemiology 9
- Co-authors
- J. Peter Gogarten (13 shared papers)Olga Zhaxybayeva (4 shared papers)Kimberlee A. Musser (17 shared papers)Carol Smith (8 shared papers)Joseph T. Wade (5 shared papers)Tanya A. Halse (9 shared papers)Vincent Escuyer (5 shared papers)Joseph Shea (7 shared papers)
- Journals
- Journal of Clinical Microbiology (8 papers)Emerging infectious diseases (5 papers)Frontiers in Microbiology (3 papers)Trends in Genetics (2 papers)mBio (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Pascal Lapierre
51 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 109
- Endocrinology 217
- Molecular Medicine 126
- Infectious Diseases 438
- Periodontics 80
- Ecology 498
Countries citing papers authored by Pascal Lapierre
This map shows the geographic impact of Pascal Lapierre'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 Pascal Lapierre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Lapierre more than expected).
Fields of papers citing papers by Pascal Lapierre
This network shows the impact of papers produced by Pascal Lapierre. 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 Pascal Lapierre. The network helps show where Pascal Lapierre may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Lapierre, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 268 | |
| 2 | 2009 | 177 | |
| 3 | 2015 | 175 | |
| 4 | 2015 | 108 | |
| 5 | 2017 | 105 | |
| 6 | 2012 | 103 | |
| 7 | 2001 | 99 | |
| 8 | 2004 | 81 | |
| 9 | 2016 | 69 | |
| 10 | 2005 | 64 | |
| 11 | 2020 | 62 | |
| 12 | 2020 | 50 | |
| 13 | 2015 | 45 | |
| 14 | 2017 | 43 | |
| 15 | 2023 | 38 | |
| 16 | 2016 | 38 | |
| 17 | 2017 | 36 | |
| 18 | 2009 | 34 | |
| 19 | 2011 | 33 | |
| 20 | 2012 | 31 |
About Pascal Lapierre
Pascal Lapierre is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Ecology and Endocrinology, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (20 papers), Mycobacterium research and diagnosis (13 papers), Tuberculosis Research and Epidemiology (9 papers), RNA and protein synthesis mechanisms (8 papers), Bacterial Genetics and Biotechnology (8 papers), Legionella and Acanthamoeba research (7 papers), Antibiotic Resistance in Bacteria (7 papers) and Bacteriophages and microbial interactions (6 papers). The work is most often cited by research in Endocrinology (217 citations), Molecular Medicine (126 citations), Infectious Diseases (438 citations), Periodontics (80 citations) and Ecology (498 citations). Pascal Lapierre has collaborated with scholars based in United States, Canada and France. Frequent co-authors include J. Peter Gogarten, Olga Zhaxybayeva, Kimberlee A. Musser, Carol Smith, Joseph T. Wade, Tanya A. Halse, Vincent Escuyer, Joseph Shea, Kristen S. Swithers and Kenneth M. Noll. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases, Frontiers in Microbiology, Trends in Genetics and mBio.
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.