Michael D. Schultz

853 citations
9 papers · 579 · h-index 6

Impact in

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

Papers in

    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 2
    • Respiratory viral infections research 3

Michael D. Schultz

9 papers receiving 573 citations

Peers

Michael D. Schultz
Comparison fields: 5 of 59
  • Immunology 311
  • Infectious Diseases 201
  • Epidemiology 101
  • Microbiology 19
  • Health 23
Replace Anja Bubke with:
Anja Bubke Germany
Stefan Bauernfried Germany
Angéline Rouers Singapore
Shangguo Tang Canada
Chun-Yang Lin United States
Christian Albano Italy
Candie Joly France
Clare F. Quarnstrom United States
Alexandria J. Sturtz United States
Natalia Laufer Argentina
Michael D. Schultz relative to Anja Bubke Germany Anja Bubke's profile →
Citations per field
00.5×1.5×
Anja Bubke · 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

9 of 9 papers shown
#Work
1 2018307
2 2021101
3 201996
4 202137
5 202212
6 20209
7 20176
8 20256
9 20255

About Michael D. Schultz

Michael D. Schultz is a scholar working on Immunology, Epidemiology, Infectious Diseases, Pediatrics, Perinatology and Child Health and Physiology, having authored 9 papers that have together received 579 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Respiratory viral infections research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (2 papers), Immunotherapy and Immune Responses (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Immunology (311 citations), Infectious Diseases (201 citations), Epidemiology (101 citations), Microbiology (19 citations) and Health (23 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, Beth A. Graf, S. Rameeza Allie, Uma Mudunuru, John Bradley, Davide Botta, Alexander F. Rosenberg, Holly Bachus and André Ballesteros‐Tato. Their work appears in journals such as Immunity, ACS Chemical Biology, Nature Immunology, Molecular Therapy and PLoS Pathogens.

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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