William Smith

504 citations
7 papers · 388 · h-index 5

Impact in

    • Antifungal resistance and susceptibility
  • Epidemiology top 10%
    • Fungal Infections and Studies
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

    • Antifungal resistance and susceptibility 3
    • Antimicrobial Resistance in Staphylococcus 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Histone Deacetylase Inhibitors Research 1

William Smith

6 papers receiving 379 citations

Peers

William Smith
Comparison fields: 5 of 56
  • Infectious Diseases 274
  • Epidemiology 211
  • Cell Biology 51
  • Pharmacology 39
  • Molecular Medicine 11
Replace Minoru Nagi with:
Minoru Nagi Japan
Sabrina Schneider Germany
Laurel Metzler United States
Graham E. M. Sibley United Kingdom
Takahiro Oura Japan
S. J. Howard United Kingdom
Sang Hu Kim Canada
Annie Lee United States
W. HOEKSTRA United States
Saskia du Pré United Kingdom
William Smith relative to Minoru Nagi Japan Minoru Nagi's profile →
Citations per field
00.5×1.5×1.8×
Minoru Nagi · 1×
Citations per year

Countries citing papers authored by William Smith

Since Specialization
Citations

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

Fields of papers citing papers by William Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2006191
2 2002121
3 201548
4 201314
5 200512
6 19511
7 20251

About William Smith

William Smith is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Pharmacology and Clinical Biochemistry, having authored 7 papers that have together received 388 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Animal Genetics and Reproduction (1 paper), Fungal Biology and Applications (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Fungal Infections and Studies (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Infectious Diseases (274 citations), Epidemiology (211 citations), Cell Biology (51 citations), Pharmacology (39 citations) and Molecular Medicine (11 citations). William Smith has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Thomas D. Edlind, John‐Paul Vermitsky, P. David Rogers, Ramin Homayouni, Chris MacDonald, Johanna A. Payne, Mariam Aboian, Robert C. Piper, David J. Katzmann and Martin E. Adelson. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Molecular & Cellular Proteomics, Geological Magazine, Developmental Cell 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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