Max Medina-Ramírez

1.7k citations
9 papers · 395 · h-index 8

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Glycosylation and Glycoproteins Research 3
    • vaccines and immunoinformatics approaches 2
    • Protein purification and stability 1
    • Pluripotent Stem Cells Research 1
    • HIV Research and Treatment 7

Max Medina-Ramírez

9 papers receiving 391 citations

Peers

Max Medina-Ramírez
Comparison fields: 5 of 45
  • Virology 166
  • Immunology 232
  • Radiology, Nuclear Medicine and Imaging 85
  • Infectious Diseases 66
  • Molecular Biology 151
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Citations per field
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Citations per year

Countries citing papers authored by Max Medina-Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by Max Medina-Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max Medina-Ramírez. 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 Max Medina-Ramírez. The network helps show where Max Medina-Ramírez may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2017177
2 201878
3 201135
4 201531
5 201728
6 201816
7 201913
8 201912
9 20215

About Max Medina-Ramírez

Max Medina-Ramírez is a scholar working on Molecular Biology, Virology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Immunology, having authored 9 papers that have together received 395 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers), HIV/AIDS drug development and treatment (2 papers), vaccines and immunoinformatics approaches (2 papers), Neuroscience and Neural Engineering (1 paper), Protein purification and stability (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Virology (166 citations), Immunology (232 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Infectious Diseases (66 citations) and Molecular Biology (151 citations). Max Medina-Ramírez has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Rogier W. Sanders, Anna Gazumyan, Charlotte Viant, Michel C. Nussenzweig, Ervin E. Kara, Amelia Escolano, Qiao Wang, Christian T. Mayer, Jovana Golijanin and Alexander D. Gitlin. Their work appears in journals such as Journal of Pharmaceutical Sciences, Current Opinion in HIV and AIDS, Journal of Proteome Research, Journal of Biological Chemistry and Cell Reports.

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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