S M Levitz

632 citations
11 papers · 498 · h-index 9

Impact in

    • Antifungal resistance and susceptibility
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Toxin Mechanisms and Immunotoxins
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways

Papers in

    • Fungal Infections and Studies 9
    • Nail Diseases and Treatments 2
    • Toxin Mechanisms and Immunotoxins 4
    • Immune Cell Function and Interaction 2
    • IL-33, ST2, and ILC Pathways 1
    • T-cell and Retrovirus Studies 1

S M Levitz

11 papers receiving 488 citations

Peers

S M Levitz
Comparison fields: 5 of 52
  • Infectious Diseases 243
  • Immunology 248
  • Epidemiology 356
  • Microbiology 37
  • Parasitology 28
Replace A Tabuni with:
A Tabuni United States
R Turcotte Canada
Wendy Chaka Netherlands
Carolyn Saylor United States
Izaíra Tincani Brandão Brazil
Taff Jones Canada
Marisa Harton United States
N Venkataprasad United Kingdom
Stefan Borsutzky Germany
Tera L. McCool United States
S M Levitz relative to A Tabuni United States A Tabuni's profile →
Citations per field
00.5×3.5×
A Tabuni · 1×
Citations per year

Countries citing papers authored by S M Levitz

Since Specialization
Citations

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

Fields of papers citing papers by S M Levitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside S M Levitz, 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 S M Levitz Line = papers co-authored together S M Levitz links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 199499
2 201188
3 198970
4 199368
5 199148
6 199537
7 199230
8 199724
9 199324
10 19925
11
Aspergillosis.
19895

About S M Levitz

S M Levitz is a scholar working on Epidemiology, Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health and Small Animals, having authored 11 papers that have together received 498 indexed citations. Recurring topics across this work include Fungal Infections and Studies (9 papers), Antifungal resistance and susceptibility (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Immune Cell Function and Interaction (2 papers), Nail Diseases and Treatments (2 papers), Peptidase Inhibition and Analysis (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Infectious Diseases (243 citations), Immunology (248 citations), Epidemiology (356 citations), Microbiology (37 citations) and Parasitology (28 citations). S M Levitz has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Maxime Dupont, David DiBenedetto, A Tabuni, Richard T. Maziarz, J W Murphy, Herbert L. Mathews, Hardy Kornfeld, Amariliz Rivera, Asako Chiba and Beth Burgwyn Fuchs. Their work appears in journals such as Infection and Immunity, The Journal of Infectious Diseases, The Journal of Immunology, Cell Host & Microbe and Journal of Clinical Investigation.

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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