Daniel Luque

66 papers receiving 2.3k citations

Peers

Daniel Luque
Comparison fields: 5 of 104
  • Structural Biology 112
  • Endocrinology 232
  • Infectious Diseases 692
  • Epidemiology 794
  • Ecology 638
Replace Jacomine Krijnse‐Locker with:
Jacomine Krijnse‐Locker Germany
Juha T. Huiskonen United Kingdom
Cristina Risco Spain
Jacomine Krijnse Locker Germany
Pavel Plevka Czechia
V.A. Kostyuchenko United States
Minna M. Poranen Finland
Dennis C. Winkler United States
Esther Bullitt United States
Fasséli Coulibaly Australia
Daniel Luque relative to Jacomine Krijnse‐Locker Germany Jacomine Krijnse‐Locker's profile →
Citations per field
00.5×1.6×
Jacomine Krijnse‐Locker · 1×
Citations per year

Countries citing papers authored by Daniel Luque

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Luque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012223
2 2017105
3 2009103
4 2008103
5 201293
6 200876
7 201770
8 202069
9 201667
10 200567
11 201657
12 201055
13 201655
14 201352
15 201552
16 201351
17 200750
18 200348
19 201648
20 200946

About Daniel Luque

Daniel Luque is a scholar working on Infectious Diseases, Ecology, Epidemiology, Molecular Biology and Plant Science, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (25 papers), Viral gastroenteritis research and epidemiology (18 papers), Plant Virus Research Studies (14 papers), Animal Virus Infections Studies (11 papers), Respiratory viral infections research (10 papers), Virology and Viral Diseases (9 papers), Plant and Fungal Interactions Research (8 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Structural Biology (112 citations), Endocrinology (232 citations), Infectious Diseases (692 citations), Epidemiology (794 citations) and Ecology (638 citations). Daniel Luque has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include José R. Castón, José L. Carrascosa, José F. Rodrígúez, María C. Terrón, Benes L. Trus, Núria Verdaguer, Jose ́A. Melero, Vicente Más, Olga Cano and Concepción Palomo. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, PLoS Pathogens, Virology and Journal of Molecular Biology.

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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