Cortez McBerry

522 citations
6 papers · 429 · h-index 6

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune responses and vaccinations
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • Immune Response and Inflammation
    • Tuberculosis Research and Epidemiology

Papers in

    • interferon and immune responses 2
    • Immunotherapy and Immune Responses 1
    • Toxoplasma gondii Research Studies 2
    • Parasitic Infections and Diagnostics 1

Cortez McBerry

6 papers receiving 427 citations

Peers

Cortez McBerry
Comparison fields: 5 of 61
  • Immunology 262
  • Infectious Diseases 177
  • Parasitology 24
  • Epidemiology 114
  • Biological Psychiatry 7
Replace Moriah J. Castleman with:
Moriah J. Castleman United States
Karin Fink Canada
Ming Kuang China
Mohammad Kazemi Arababadi Iran
Savita Prabhakar United States
Eduardo Montoya-Díaz Mexico
Emilie V. Russler-Germain United States
Anne Marstad Norway
Lívia Harumi Yamashiro Brazil
Jon Landy United Kingdom
Cortez McBerry relative to Moriah J. Castleman United States Moriah J. Castleman's profile →
Citations per field
00.5×2×2.8×
Moriah J. Castleman · 1×
Citations per year

Countries citing papers authored by Cortez McBerry

Since Specialization
Citations

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

Fields of papers citing papers by Cortez McBerry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Cortez McBerry, 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 Cortez McBerry Line = papers co-authored together Cortez McBerry links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2014265
2 201348
3 201246
4 201333
5 201219
6 201318

About Cortez McBerry

Cortez McBerry is a scholar working on Immunology, Parasitology, Infectious Diseases, Epidemiology and Cancer Research, having authored 6 papers that have together received 429 indexed citations. Recurring topics across this work include interferon and immune responses (2 papers), Tuberculosis Research and Epidemiology (2 papers), Toxoplasma gondii Research Studies (2 papers), Malaria Research and Control (1 paper), Parasitic Infections and Diagnostics (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Infectious Diseases and Tuberculosis (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (262 citations), Infectious Diseases (177 citations), Parasitology (24 citations), Epidemiology (114 citations) and Biological Psychiatry (7 citations). Cortez McBerry has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Daniel L. Barber, Shunsuke Sakai, David Masopust, Katrin D. Mayer-Barber, Jason M. Schenkel, Keith D. Kauffman, Júlio Aliberti, Alexandra Dias, Irini Sereti and Bruno B. Andrade. Their work appears in journals such as The Journal of Immunology, PLoS ONE and European Journal of 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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