L. E. Pearce
Impact in
- Biotechnology top 5%
- Microbial Inactivation Methods
- Listeria monocytogenes in Food Safety
- Food Science top 5%
- Probiotics and Fermented Foods
Papers in
-
- RNA and protein synthesis mechanisms 3
- Genetics 13
- Bacterial Genetics and Biotechnology 11
- Co-authors
- E. MEYNELL (2 shared papers)Pak‐Lam Yu (4 shared papers)J. S. Loutit (5 shared papers)Vaughan L. Crow (3 shared papers)Graham P. Davey (2 shared papers)Fengfeng Xu (2 shared papers)Robert Crawford (2 shared papers)Martin Marinus (2 shared papers)
- Journals
- Journal of Bacteriology (4 papers)Journal of Applied Microbiology (3 papers)Genetics Research (2 papers)Journal of Dairy Science (2 papers)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- New ZealandUnited KingdomAustralia
In The Last Decade
L. E. Pearce
34 papers receiving 516 citations
Peers
Comparison fields: 5 of 78
- Biotechnology 109
- Food Science 210
- Molecular Medicine 43
- Genetics 167
- Endocrinology 31
Countries citing papers authored by L. E. Pearce
This map shows the geographic impact of L. E. Pearce'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 L. E. Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. E. Pearce more than expected).
Fields of papers citing papers by L. E. Pearce
This network shows the impact of papers produced by L. E. Pearce. 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 L. E. Pearce. The network helps show where L. E. Pearce may publish in the future.
Co-authors
The 25 scholars most cited alongside L. E. Pearce, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 67 | |
| 2 | 2001 | 65 | |
| 3 | 2011 | 42 | |
| 4 | 1991 | 41 | |
| 5 | 1991 | 35 | |
| 6 | 1968 | 34 | |
| 7 | 2006 | 27 | |
| 8 | 1968 | 26 | |
| 9 | 1974 | 26 | |
| 10 | 1968 | 25 | |
| 11 | 2002 | 22 | |
| 12 | 1991 | 21 | |
| 13 | 1986 | 15 | |
| 14 | 2000 | 14 | |
| 15 | 1965 | 14 | |
| 16 | 1986 | 13 | |
| 17 | 1996 | 13 | |
| 18 | 1968 | 13 | |
| 19 | 1979 | 12 | |
| 20 | 2008 | 11 |
About L. E. Pearce
L. E. Pearce is a scholar working on Molecular Biology, Genetics, Food Science, Nutrition and Dietetics and Biotechnology, having authored 35 papers that have together received 588 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), Probiotics and Fermented Foods (10 papers), Microbial Metabolites in Food Biotechnology (4 papers), Bacteriophages and microbial interactions (4 papers), Streptococcal Infections and Treatments (3 papers), RNA and protein synthesis mechanisms (3 papers), Microbial Inactivation Methods (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Biotechnology (109 citations), Food Science (210 citations), Molecular Medicine (43 citations), Genetics (167 citations) and Endocrinology (31 citations). L. E. Pearce has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include E. MEYNELL, Pak‐Lam Yu, J. S. Loutit, Vaughan L. Crow, Graham P. Davey, Fengfeng Xu, Robert Crawford, Martin Marinus, Geoffrey W. de Lisle and Gary F. Yates. Their work appears in journals such as Journal of Bacteriology, Journal of Applied Microbiology, Genetics Research, Journal of Dairy Science and Applied Microbiology and Biotechnology.
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.