Michael D. Schultz

820 citations
6 papers · 330 · h-index 6

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune responses and vaccinations
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Pneumocystis jirovecii pneumonia detection and treatment 1
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2

Michael D. Schultz

6 papers receiving 327 citations

Peers

Michael D. Schultz
Comparison fields: 5 of 51
  • Immunology 198
  • Infectious Diseases 98
  • Epidemiology 60
  • Microbiology 11
  • Transplantation 4
Replace Anaísa V. Ferreira with:
Anaísa V. Ferreira Netherlands
Tamara García‐Salum Chile
Haley L. Dugan United States
Wilbur Chen United States
Federico Perdomo-Celis Colombia
Christian Albano Italy
Ane Ogbe United Kingdom
Matthew D. Slein United States
Hong Cai United States
E.I. Arafa United States
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Citations per field
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Anaísa V. Ferreira · 1×
Citations per year

Countries citing papers authored by Michael D. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Schultz. 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 Michael D. Schultz. The network helps show where Michael D. Schultz may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2018267
2 202134
3 202211
4 20208
5 20255
6 20175

About Michael D. Schultz

Michael D. Schultz is a scholar working on Epidemiology, Immunology, Pediatrics, Perinatology and Child Health, Infectious Diseases and Physiology, having authored 6 papers that have together received 330 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Immunotherapy and Immune Responses (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Parasites and Host Interactions (1 paper), COVID-19 Clinical Research Studies (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Immunology (198 citations), Infectious Diseases (98 citations), Epidemiology (60 citations), Microbiology (11 citations) and Transplantation (4 citations). Michael D. Schultz has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Frances E. Lund, Troy D. Randall, S. Rameeza Allie, Uma Mudunuru, John Bradley, Beth Graf, Davide Botta, André Ballesteros‐Tato, Holly Bachus and Alexander F. Rosenberg. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Science Immunology, ACS Chemical Biology, Immunity and Nature Immunology.

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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