Jennifer Lo

19 total papers · 692 total citations
15 papers, 339 citations indexed

About

Jennifer Lo is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and General Health Professions. According to data from OpenAlex, Jennifer Lo has authored 15 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Applied Microbiology and Biotechnology, 5 papers in Critical Care and Intensive Care Medicine and 5 papers in General Health Professions. Recurrent topics in Jennifer Lo's work include Antibiotic Use and Resistance (11 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Patient Satisfaction in Healthcare (5 papers). Jennifer Lo is often cited by papers focused on Antibiotic Use and Resistance (11 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Patient Satisfaction in Healthcare (5 papers). Jennifer Lo collaborates with scholars based in Canada, United States and Lebanon. Jennifer Lo's co-authors include Nick Daneman, Valerie Leung, Bradley J. Langford, Derek R. MacFadden, Sumit Raybardhan, Miranda So, Jean‐Paul Soucy, Kevin A. Brown, Gary Garber and Elizabeth Leung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Jennifer Lo

15 papers receiving 335 citations

Hit Papers

Antimicrobial resistance ... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer Lo 163 87 67 63 56 15 339
Andrea Patton 168 1.0× 77 0.9× 41 0.6× 44 0.7× 29 0.5× 19 394
Stuart Bond 199 1.2× 68 0.8× 46 0.7× 28 0.4× 62 1.1× 27 300
Wajeeha Ansari 233 1.4× 76 0.9× 49 0.7× 37 0.6× 71 1.3× 19 333
Richard N. Olans 183 1.1× 100 1.1× 42 0.6× 48 0.8× 14 0.3× 15 395
Della Varghese 229 1.4× 75 0.9× 70 1.0× 29 0.5× 67 1.2× 15 369
Rolanda Valintėlienė 140 0.9× 164 1.9× 23 0.3× 138 2.2× 39 0.7× 17 380
E. Papy 96 0.6× 94 1.1× 28 0.4× 46 0.7× 89 1.6× 15 320
Gina Maki 152 0.9× 51 0.6× 24 0.4× 37 0.6× 64 1.1× 17 298
Rita Drummond Olans 255 1.6× 47 0.5× 60 0.9× 75 1.2× 14 0.3× 13 308
Carla Morales Guerra 135 0.8× 126 1.4× 23 0.3× 39 0.6× 108 1.9× 12 397

Countries citing papers authored by Jennifer Lo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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