Cortez McBerry

514 citations
6 papers · 413 · 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
    • T-cell and B-cell Immunology 1
    • Tuberculosis Research and Epidemiology 2

Cortez McBerry

6 papers receiving 412 citations

Peers

Cortez McBerry
Comparison fields: 5 of 60
  • Immunology 256
  • Infectious Diseases 170
  • Epidemiology 109
  • Parasitology 23
  • Biological Psychiatry 7
Replace Brian A. Norris with:
Brian A. Norris United States
Moriah J. Castleman United States
Karin Fink Canada
María Mercedes Romero Argentina
Mohammad Kazemi Arababadi Iran
Eduardo Montoya-Díaz Mexico
Emilie V. Russler-Germain United States
Ashley B. Strickland United States
Camila Oliveira Silva Souza Brazil
Suki M. Y. Lee Hong Kong
Cortez McBerry relative to Brian A. Norris United States Brian A. Norris's profile →
Citations per field
00.5×2.6×
Brian A. Norris · 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 2014256
2 201246
3 201344
4 201330
5 201219
6 201318

About Cortez McBerry

Cortez McBerry is a scholar working on Immunology, Infectious Diseases, Epidemiology, Parasitology and Surgery, having authored 6 papers that have together received 413 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (2 papers), Toxoplasma gondii Research Studies (2 papers), interferon and immune responses (2 papers), NF-κB Signaling Pathways (1 paper), Immunotherapy and Immune Responses (1 paper), Mycobacterium research and diagnosis (1 paper), Mosquito-borne diseases and control (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (256 citations), Infectious Diseases (170 citations), Epidemiology (109 citations), Parasitology (23 citations) and Biological Psychiatry (7 citations). Cortez McBerry has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include Daniel L. Barber, Keith D. Kauffman, Shunsuke Sakai, Katrin D Mayer–Barber, David Masopust, Jason M. Schenkel, Júlio Aliberti, Alexandra Dias, Alan Sher and Irini Sereti. 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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