Francesca Lee

837 citations
30 papers · 404 · h-index 11

Impact in

Papers in

    • SARS-CoV-2 detection and testing 6
    • SARS-CoV-2 and COVID-19 Research 4
    • Antimicrobial Resistance in Staphylococcus 3
    • COVID-19 Clinical Research Studies 2
    • Viral Infections and Vectors 2
    • Drug-Induced Adverse Reactions 6
    • Antibiotics Pharmacokinetics and Efficacy 2

Francesca Lee

26 papers receiving 394 citations

Peers

Francesca Lee
Comparison fields: 5 of 66
  • Clinical Biochemistry 107
  • Molecular Medicine 46
  • Infectious Diseases 127
  • Applied Microbiology and Biotechnology 12
  • Pharmacology 101
Replace Lawrence E. Eisenstein with:
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Infection & Immunity Netherlands
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Francesca Lee relative to Lawrence E. Eisenstein United States Lawrence E. Eisenstein's profile →
Citations per field
00.5×10×20×30×36.5×
Lawrence E. Eisenstein · 1×
Citations per year

Countries citing papers authored by Francesca Lee

Since Specialization
Citations

This map shows the geographic impact of Francesca Lee'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 Francesca Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Lee more than expected).

Fields of papers citing papers by Francesca Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca Lee. 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 Francesca Lee. The network helps show where Francesca Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Francesca Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesca Lee Line = papers co-authored together Francesca Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201369
2 201862
3 202045
4 202033
5 202327
6 201324
7 202019
8 202415
9 202014
10 201813
11 202113
12 202011
13 202310
14 202010
15 20187
16 20216
17 20235
18 20185
19 20234
20 20223

About Francesca Lee

Francesca Lee is a scholar working on Infectious Diseases, Pharmacology, Toxicology, Molecular Medicine and Epidemiology, having authored 30 papers that have together received 404 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (6 papers), Drug-Induced Adverse Reactions (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Biosensors and Analytical Detection (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), COVID-19 Clinical Research Studies (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Clinical Biochemistry (107 citations), Molecular Medicine (46 citations), Infectious Diseases (127 citations), Applied Microbiology and Biotechnology (12 citations) and Pharmacology (101 citations). Francesca Lee has collaborated with scholars based in United States, Canada and Jordan. Frequent co-authors include Jennifer Dien Bard, Tanaya Bhowmick, Michael J. Postelnick, Lucas T. Schulz, Kimberly G. Blumenthal, Rita M. Gander, Stacy G. Beal, Kristi M. Kuper, Rochelle P. Walensky and Jeffrey St. John. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, Diagnostic Microbiology and Infectious Disease, Journal of Allergy and Clinical Immunology and Academic Emergency Medicine.

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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