Michael Borja

557 citations
5 papers · 69 · h-index 4

Impact in

    • Cell Image Analysis Techniques
    • Single-cell and spatial transcriptomics
    • Gene expression and cancer classification
    • Molecular Biology Techniques and Applications
    • Bioinformatics and Genomic Networks
    • Extracellular vesicles in disease

Papers in

    • Single-cell and spatial transcriptomics 3
    • Congenital heart defects research 1
    • Immune responses and vaccinations 1
    • T-cell and B-cell Immunology 1
    • Phagocytosis and Immune Regulation 1

Michael Borja

4 papers receiving 67 citations

Peers

Michael Borja
Comparison fields: 5 of 20
  • Biophysics 11
  • Molecular Biology 50
  • Immunology 11
  • Cancer Research 7
  • Neurology 3
Replace Kyle Awayan with:
Kyle Awayan United States
Marco Varrone Switzerland
Emily Stephenson United Kingdom
Magalie Feyeux France
Yuan Chu China
Zishan Wu China
Ilan Gold Germany
Rick Stanton United States
Artur Szałata Germany
Russell Kunes United States
Michael Borja relative to Kyle Awayan United States Kyle Awayan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Borja

Since Specialization
Citations

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

Fields of papers citing papers by Michael Borja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 202256
2 20255
3 20254
4 20254
5 20240

About Michael Borja

Michael Borja is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Genetics and Public Health, Environmental and Occupational Health, having authored 5 papers that have together received 69 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Immune responses and vaccinations (1 paper), Zebrafish Biomedical Research Applications (1 paper), Tuberculosis Research and Epidemiology (1 paper), Congenital heart defects research (1 paper), Reproductive Biology and Fertility (1 paper), T-cell and B-cell Immunology (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Biophysics (11 citations), Molecular Biology (50 citations), Immunology (11 citations), Cancer Research (7 citations) and Neurology (3 citations). Michael Borja has collaborated with scholars based in United States and Spain. Frequent co-authors include Norma Neff, Jonathan Liu, Angela Oliveira Pisco, Yang Joon Kim, John Haliburton, George Emanuel, Bruce Wang, Ruofan Wang, Ashley Byrne and Aris Taychameekiatchai. Their work appears in journals such as MethodsX, Life Science Alliance, Science, Communications Biology and Science Advances.

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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