Sally M. McFall

1.1k citations
39 papers · 831 · h-index 16

Impact in

Papers in

    • SARS-CoV-2 detection and testing 8
    • Tuberculosis Research and Epidemiology 6
    • HIV/AIDS Research and Interventions 4
    • Microbial Metabolic Engineering and Bioproduction 5

Sally M. McFall

37 papers receiving 803 citations

Peers

Sally M. McFall
Comparison fields: 5 of 101
  • Pollution 172
  • Infectious Diseases 138
  • Aging 11
  • Genetics 164
  • Molecular Biology 402
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Janek Bzdrenga France
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Kim Lee Chua Singapore
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Calvin Ho‐Fung Lau Canada
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Citations per field
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Citations per year

Countries citing papers authored by Sally M. McFall

Since Specialization
Citations

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

Fields of papers citing papers by Sally M. McFall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sally M. McFall. 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 Sally M. McFall. The network helps show where Sally M. McFall may publish in the future.

Co-authors

The 25 scholars most cited alongside Sally M. McFall, 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 Sally M. McFall Line = papers co-authored together Sally M. McFall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199891
2 201081
3 200974
4 199772
5 199954
6 199749
7 199449
8 201548
9 200238
10 199730
11 199727
12 201626
13 198926
14 199522
15 201722
16 201821
17 201612
18 201711
19 202310
20 201810

About Sally M. McFall

Sally M. McFall is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Biomedical Engineering and Genetics, having authored 39 papers that have together received 831 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (8 papers), Biosensors and Analytical Detection (7 papers), Bacterial Genetics and Biotechnology (7 papers), Microbial bioremediation and biosurfactants (6 papers), Tuberculosis Research and Epidemiology (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), HIV/AIDS Research and Interventions (4 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Pollution (172 citations), Infectious Diseases (138 citations), Aging (11 citations), Genetics (164 citations) and Molecular Biology (402 citations). Sally M. McFall has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include A. M. Chakrabarty, David M. Kelso, Sujit R. Jangam, Matthew R. Parsek, Sudha Chugani, Douglas H. Yamada, Brian J. Abraham, Thomas J. Montville, Thomas J. Klem and Jennifer L. Reed. Their work appears in journals such as Journal of Bacteriology, Diagnostic Microbiology and Infectious Disease, Current Opinion in Biomedical Engineering, Journal of Visualized Experiments and Journal of Clinical 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.

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