Marcos Vásquez

1.5k citations
19 papers · 327 · h-index 11

Impact in

    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis

Papers in

    • Immunotherapy and Immune Responses 7
    • Immune Cell Function and Interaction 3
    • interferon and immune responses 3
    • CAR-T cell therapy research 4
    • Cytokine Signaling Pathways and Interactions 2

Marcos Vásquez

19 papers receiving 323 citations

Peers

Marcos Vásquez
Comparison fields: 5 of 61
  • Immunology 142
  • Oncology 126
  • Cancer Research 37
  • Hepatology 16
  • Molecular Biology 121
Replace Jarosław Suchański with:
Jarosław Suchański Poland
Wenjuan Zang China
Liyu Huang China
Eun Gene Sun South Korea
Sarah McCuaig Canada
Magdalena Paolino Austria
Veronika Thonn Germany
Prudence N’guessan France
Marcos Vásquez relative to Jarosław Suchański Poland Jarosław Suchański's profile →
Citations per field
00.5×1.5×2.5×
Jarosław Suchański · 1×
Citations per year

Countries citing papers authored by Marcos Vásquez

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Vásquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202283
2 200945
3 201730
4 201722
5 201522
6 201719
7 201716
8 201614
9 202113
10 202011
11 201611
12 201610
13 20158
14 20197
15 20215
16 20194
17 20204
18 20212
19 20161

About Marcos Vásquez

Marcos Vásquez is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Rheumatology, having authored 19 papers that have together received 327 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (4 papers), Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (3 papers), interferon and immune responses (3 papers), Systemic Lupus Erythematosus Research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Immunology (142 citations), Oncology (126 citations), Cancer Research (37 citations), Hepatology (16 citations) and Molecular Biology (121 citations). Marcos Vásquez has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Pedro Berraondo, Fernando Aranda, Victoria L. Bridgeman, Felipe Silva Rodrigues, Luigi Ombrato, Stuart Horswell, Adam Karoutas, Ilaria Malanchi, Peter Faull and Rebecca A. Carter. Their work appears in journals such as OncoImmunology, Journal of Hepatology, Oncotarget, PLANT PHYSIOLOGY and Molecular Nutrition & Food Research.

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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