Melissa Lacey
Impact in
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- Antibiotic Resistance in Bacteria
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- Escherichia coli research studies
Papers in
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- Bacterial biofilms and quorum sensing 3
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- Online and Blended Learning 2
- Innovations in Educational Methods 2
- Higher Education Research Studies 2
- Co-authors
- Jeffrey Green (3 shared papers)David P. Smith (7 shared papers)Sarah Forbes (5 shared papers)Thomas J. Smith (3 shared papers)Jonathan D. Partridge (1 shared paper)Leander D. L. Anderegg (1 shared paper)Elizabeth Van Volkenburgh (1 shared paper)Keith Miller (2 shared papers)
- Journals
- FEBS Open Bio (3 papers)Microbiology (2 papers)Open Biology (1 paper)Pharmaceutics (1 paper)Journal of Applied Microbiology (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Melissa Lacey
21 papers receiving 228 citations
Peers
Comparison fields: 5 of 85
- Molecular Medicine 29
- Endocrinology 29
- Health Informatics 7
- Microbiology 24
- Computer Science Applications 11
Countries citing papers authored by Melissa Lacey
This map shows the geographic impact of Melissa Lacey'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 Melissa Lacey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Lacey more than expected).
Fields of papers citing papers by Melissa Lacey
This network shows the impact of papers produced by Melissa Lacey. 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 Melissa Lacey. The network helps show where Melissa Lacey may publish in the future.
Co-authors
The 25 scholars most cited alongside Melissa Lacey, 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 | 2019 | 39 | |
| 2 | 2010 | 30 | |
| 3 | 2017 | 26 | |
| 4 | 2017 | 17 | |
| 5 | 2023 | 16 | |
| 6 | 2020 | 14 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2012 | 5 | |
| 18 | 2023 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 1 |
About Melissa Lacey
Melissa Lacey is a scholar working on Molecular Biology, Education, Sociology and Political Science, Molecular Medicine and Genetics, having authored 24 papers that have together received 235 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (3 papers), Bacterial biofilms and quorum sensing (3 papers), Bacterial Genetics and Biotechnology (3 papers), Online and Blended Learning (2 papers), Antimicrobial Peptides and Activities (2 papers), Animal and Plant Science Education (2 papers), Innovations in Educational Methods (2 papers) and Higher Education Research Studies (2 papers). The work is most often cited by research in Molecular Medicine (29 citations), Endocrinology (29 citations), Health Informatics (7 citations), Microbiology (24 citations) and Computer Science Applications (11 citations). Melissa Lacey has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Jeffrey Green, David P. Smith, Sarah Forbes, Thomas J. Smith, Jonathan D. Partridge, Leander D. L. Anderegg, Elizabeth Van Volkenburgh, Keith Miller, Janneke HilleRisLambers and Tim Nichol. Their work appears in journals such as FEBS Open Bio, Microbiology, Open Biology, Pharmaceutics and Journal of Applied Microbiology.
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.