Daniel Rubio

1.8k citations
16 papers · 620 · h-index 11

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
  • Virology top 10%
    • Poxvirus research and outbreaks

Papers in

    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 4
    • interferon and immune responses 3

Daniel Rubio

15 papers receiving 610 citations

Peers

Daniel Rubio
Comparison fields: 5 of 79
  • Genetics 156
  • Virology 67
  • Paleontology 71
  • Anthropology 86
  • Immunology 177
Replace Karl Großschmidt with:
Karl Großschmidt Austria
K. Murayama Japan
Silvia Bonfiglio Italy
Brendan O’Fallon United States
Sarah Eickhoff Germany
Ryan F. Bloomquist United States
Brennan Decker United States
Ellen L. W. Kittler United States
Matteo Breno Italy
Nancy Garvey United States
Daniel Rubio relative to Karl Großschmidt Austria Karl Großschmidt's profile →
Citations per field
00.5×10×20×33.5×
Karl Großschmidt · 1×
Citations per year

Countries citing papers authored by Daniel Rubio

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rubio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008127
2 201379
3 200477
4 200770
5 201456
6 201553
7 201039
8 201827
9 201227
10 201226
11 201314
12 200310
13 20079
14 20184
15 20232
16 20250

About Daniel Rubio

Daniel Rubio is a scholar working on Immunology, Molecular Biology, Paleontology, Virology and Anthropology, having authored 16 papers that have together received 620 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), interferon and immune responses (3 papers), Poxvirus research and outbreaks (2 papers), Archaeology and ancient environmental studies (2 papers), Pleistocene-Era Hominins and Archaeology (2 papers) and Forensic Anthropology and Bioarchaeology Studies (1 paper). The work is most often cited by research in Genetics (156 citations), Virology (67 citations), Paleontology (71 citations), Anthropology (86 citations) and Immunology (177 citations). Daniel Rubio has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Javier Garcı́a-Castro, António Bernad, Teresa de la Cueva, Luis J. Sigal, Sílvia García, Alison C. Lloyd, Ren-Huan Xu, Luis A. López‐Fernández, Maria F. Paz and Felipe Cuartero. Their work appears in journals such as Journal of Virology, Cell Host & Microbe, Quaternary International, Experimental Cell Research and Lab Animal.

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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