J Ferguson

715 citations
16 papers · 593 · h-index 8

Impact in

    • Fungal and yeast genetics research
    • Microbial Metabolic Engineering and Bioproduction
    • RNA and protein synthesis mechanisms
    • Polyomavirus and related diseases

Papers in

    • SARS-CoV-2 and COVID-19 Research 2
    • COVID-19 Clinical Research Studies 1
    • Tuberculosis Research and Epidemiology 1
    • Fungal Infections and Studies 1

J Ferguson

15 papers receiving 516 citations

Peers

J Ferguson
Comparison fields: 5 of 70
  • Molecular Biology 429
  • Oncology 118
  • Genetics 101
  • Cell Biology 59
  • Ecology 82
Replace Joanne Tornow with:
Joanne Tornow United States
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Michael I. Riley United States
Jean‐Hervé Alix France
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Daniel E. Todd United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by J Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by J Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1983162
2 1975158
3 1988103
4 198252
5 197852
6 198331
7
Optimization and Characterization of an Inhibitor for NADPH Oxidase 1 (NOX-1)
201111
8 20219
9 20245
10
Probe Development Efforts to Identify Novel Antagonists of the Sphingosine 1-phosphate Receptor 4 (S1P4)
20105
11 20221
12 20211
13 20231
14
Probe Development Efforts to Identify Novel Inhibitors of Protein Phosphatase Methylesterase-1 (PME-1)
20111
15 20231
16 20250

About J Ferguson

J Ferguson is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Cell Biology and Structural Biology, having authored 16 papers that have together received 593 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Infection Control and Ventilation (1 paper), COVID-19 Clinical Research Studies (1 paper), Fungal Infections and Studies (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Molecular Biology (429 citations), Oncology (118 citations), Genetics (101 citations), Cell Biology (59 citations) and Ecology (82 citations). J Ferguson has collaborated with scholars based in United States, Italy and Colombia. Frequent co-authors include Steven I. Reed, Ronald W. Davis, E T Young, Clyde L. Denis, George Robert Stark, Kwang‐Yeop Jahng, Jay Clemens Groppe, Hans J. Breter, Thomas A Peterson and Davide Gianni. Their work appears in journals such as Molecular and Cellular Biology, Open Forum Infectious Diseases, Infection Control and Hospital Epidemiology, Journal of Biological Chemistry and Hepatology Communications.

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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