Mark Berrong

592 citations
9 papers · 212 · h-index 6

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 2
    • Biosimilars and Bioanalytical Methods 2
    • Immune Cell Function and Interaction 2
    • Histone Deacetylase Inhibitors Research 1
    • Single-cell and spatial transcriptomics 1

Mark Berrong

9 papers receiving 207 citations

Peers

Mark Berrong
Comparison fields: 5 of 49
  • Virology 47
  • Immunology 70
  • Molecular Biology 97
  • Infectious Diseases 22
  • Developmental Neuroscience 4
Replace Tamako Ikeda with:
Tamako Ikeda Japan
Selina Pasquero Italy
Andreas Linder Germany
Ryan P. Staupe United States
Gospel Enyindah-Asonye United States
Nadia Mensali Norway
Raul Louzao United States
Weifeng Lai China
Sumana Choudhury India
Aparna Subramanian United States
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Citations per field
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Tamako Ikeda · 1×
Citations per year

Countries citing papers authored by Mark Berrong

Since Specialization
Citations

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

Fields of papers citing papers by Mark Berrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 200657
2 201051
3 201537
4 201425
5 202119
6 201412
7 20165
8 20173
9 20233

About Mark Berrong

Mark Berrong is a scholar working on Immunology, Molecular Biology, Virology, Infectious Diseases and Epidemiology, having authored 9 papers that have together received 212 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), T-cell and B-cell Immunology (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Immune Cell Function and Interaction (2 papers), SARS-CoV-2 detection and testing (1 paper), Genetic Syndromes and Imprinting (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Virology (47 citations), Immunology (70 citations), Molecular Biology (97 citations), Infectious Diseases (22 citations) and Developmental Neuroscience (4 citations). Mark Berrong has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Rolf W. Stottmann, John Klingensmith, Karen Matta, Murim Choi, Guido Ferrari, Nicole Frahm, Wes Rountree, Jennifer Canniff, John Hural and Raul Louzao. Their work appears in journals such as Journal of Immunological Methods, PLoS Pathogens, Retrovirology, Frontiers in Immunology and Developmental Biology.

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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