Jennifer Lo
- Applied Microbiology and Biotechnology top 1%
- Epidemiology
- Geriatrics and Gerontology top 5%
- Critical Care and Intensive Care Medicine top 10%
- Molecular Medicine top 10%
- Co-authors
- Nick DanemanValerie LeungBradley J. LangfordDerek R. MacFaddenMiranda SoSumit RaybardhanJean‐Paul SoucyJulie H. Wu
- Topics
- Antibiotic Use and Resistance (11 papers)Bacterial Identification and Susceptibility Testing (5 papers)Patient Satisfaction in Healthcare (5 papers)
- Cited by
- Applied Microbiology and BiotechnologyGeriatrics and GerontologyCritical Care and Intensive Care Medicine
- Journals
- SHILAP Revista de lepidopterologíaClinical Infectious DiseasesAntimicrobial Agents and Chemotherapy
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Jennifer Lo
15 papers receiving 340 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Applied Microbiology and Biotechnology 164
- Epidemiology 88
- Geriatrics and Gerontology 67
- Critical Care and Intensive Care Medicine 63
- Molecular Medicine 58
Countries citing papers authored by Jennifer Lo
This map shows the geographic impact of Jennifer Lo'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 Jennifer Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Lo more than expected).
Fields of papers citing papers by Jennifer Lo
This network shows the impact of papers produced by Jennifer Lo. 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 Jennifer Lo. The network helps show where Jennifer Lo may publish in the future.
Co-authorship network of co-authors of Jennifer Lo
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Lo. A scholar is included among the top collaborators of Jennifer Lo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer Lo. Jennifer Lo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Antimicrobial resistance in patients with COVID-19: a systematic review and meta-analysisbreakdown → | 91 |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 58 | |
| 8 | 59 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 71 | |
| 15 | 8 |
About Jennifer Lo
Jennifer Lo is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Geriatrics and Gerontology, having authored 15 papers that have together received 344 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (11 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Patient Satisfaction in Healthcare (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (164 citations), Geriatrics and Gerontology (67 citations) and Critical Care and Intensive Care Medicine (63 citations). Jennifer Lo has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Nick Daneman, Valerie Leung, Bradley J. Langford, Derek R. MacFadden, Miranda So, Sumit Raybardhan, Jean‐Paul Soucy, Julie H. Wu, Kevin L. Schwartz and Gary Garber. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.
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.