Michael Borja

587 citations
9 papers · 275 · h-index 7

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Single-cell and spatial transcriptomics
    • Developmental Biology and Gene Regulation

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 1
    • SARS-CoV-2 detection and testing 1
    • Tuberculosis Research and Epidemiology 1

Michael Borja

8 papers receiving 273 citations

Peers

Michael Borja
Comparison fields: 5 of 53
  • Aging 56
  • Molecular Biology 138
  • Biophysics 11
  • Physiology 31
  • Hematology 14
Replace Arkadi Manukyan with:
Arkadi Manukyan United States
Beatriz Sáenz‐Narciso Spain
Evi Goulielmaki Greece
Mintie Pu China
Ishaq Tantray United States
Sebastian P. Straub Germany
Patricia Isnard Switzerland
Matthias Meyer-Bender Germany
Kristina M. Stemler United States
Gregory W. Pratt United States
Michael Borja relative to Arkadi Manukyan United States Arkadi Manukyan's profile →
Citations per field
00.5×5×10×15×19.7×
Arkadi Manukyan · 1×
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

9 of 9 papers shown
#Work
1 2022112
2 202269
3 202448
4 202513
5 202011
6 202411
7 20258
8 20253
9 20240

About Michael Borja

Michael Borja is a scholar working on Aging, Infectious Diseases, Molecular Biology, Genetics and Cell Biology, having authored 9 papers that have together received 275 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), SARS-CoV-2 detection and testing (1 paper), Tuberculosis Research and Epidemiology (1 paper), Zebrafish Biomedical Research Applications (1 paper), Cancer Cells and Metastasis (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Glioma Diagnosis and Treatment (1 paper) and Developmental Biology and Gene Regulation (1 paper). The work is most often cited by research in Aging (56 citations), Molecular Biology (138 citations), Biophysics (11 citations), Physiology (31 citations) and Hematology (14 citations). Michael Borja has collaborated with scholars based in United States, Spain and Austria. Frequent co-authors include Norma F Neff, Jonathan Liu, Angela Oliveira Pisco, Aris Taychameekiatchai, Ashley Byrne, Kyle Awayan, George Emanuel, Jiang He, John R. Haliburton and Yang Joon Kim. Their work appears in journals such as Life Science Alliance, Journal of Clinical Investigation, PLoS Pathogens, MethodsX 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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