Michael E. Wortzman

486 citations
14 papers · 394 · h-index 10

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • interferon and immune responses
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 10
    • Immunotherapy and Immune Responses 9
    • T-cell and B-cell Immunology 9
    • Immune Response and Inflammation 5
    • interferon and immune responses 2
    • Immunodeficiency and Autoimmune Disorders 1
    • Influenza Virus Research Studies 1
    • Herpesvirus Infections and Treatments 1

Michael E. Wortzman

14 papers receiving 389 citations

Peers

Michael E. Wortzman
Comparison fields: 5 of 49
  • Immunology 322
  • Oncology 75
  • Infectious Diseases 45
  • Virology 8
  • Epidemiology 51
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Citations per field
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Citations per year

Countries citing papers authored by Michael E. Wortzman

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Wortzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201378
2 201273
3 201749
4 201238
5 201537
6 201332
7 201126
8 201320
9 201215
10 201310
11 20219
12 20174
13
LT{beta}R signaling in Dendritic Cells induces a Type I IFN response that is required for optimal clonal expansion of CD8+ T cells
20112
14 20151

About Michael E. Wortzman

Michael E. Wortzman is a scholar working on Immunology, Epidemiology, Infectious Diseases, Organic Chemistry and Surgery, having authored 14 papers that have together received 394 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (9 papers), Immune Response and Inflammation (5 papers), interferon and immune responses (2 papers), Influenza Virus Research Studies (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Immunology (322 citations), Oncology (75 citations), Infectious Diseases (45 citations), Virology (8 citations) and Epidemiology (51 citations). Michael E. Wortzman has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Tania H. Watts, Derek Clouthier, Angela Zhou, Gloria H. Y. Lin, Ann J. McPherson, Gloria Lin, Stephen E. Girardin, Dana J. Philpott, Fraser Soares and Lisa E. Wagar. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Mucosal Immunology, European Journal of Immunology and Frontiers in 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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