Pablo R. Murcia

5.9k citations
83 papers · 3.2k indexed · 1 hit paper · h-index 33

Pablo R. Murcia

81 papers receiving 3.2k citations

Hit Papers

Virus–virus interactions impact the population dynamics o...3402019202620212023100200300

Peers

Pablo R. Murcia
Comparison fields: 5 of 116
  • Microbiology 62
  • Infectious Diseases 1.5k
  • Agronomy and Crop Science 624
  • Epidemiology 1.8k
  • Modeling and Simulation 215
Replace Jennifer K. Meece with:
Jennifer K. Meece United States
Ilaria Capua Italy
Chantal Akoua‐Koffi Ivory Coast
Beatrice H. L. Wong Hong Kong
Jean Dupouy‐Camet France
Suxiang Tong United States
Garnet Kwan-Yue Choi Hong Kong
Nicolás Berthet France
Ryo Yanagawa Japan
Ahmed Abd El Wahed Germany
Pablo R. Murcia relative to Jennifer K. Meece United States Jennifer K. Meece's profile →
Citations per field
00.5×5.6×
Jennifer K. Meece · 1×
Citations per year

Countries citing papers authored by Pablo R. Murcia

Since Specialization
Citations

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

Fields of papers citing papers by Pablo R. Murcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo R. Murcia. 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 Pablo R. Murcia. The network helps show where Pablo R. Murcia may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20238
4 20236
5 202250
6 20226
7 20227
8 2021119
9 20217
10 2021117
11 2020136
12 202032
13 20193
14 20198
15
Virus–virus interactions impact the population dynamics of influenza and the common coldbreakdown →
2019340
16 201913
17 201826
18 201874
19 201615
20 201666

About Pablo R. Murcia

Pablo R. Murcia is a scholar working on Microbiology, Agronomy and Crop Science and Infectious Diseases, having authored 83 papers that have together received 3.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (37 papers), Respiratory viral infections research (24 papers), Animal Disease Management and Epidemiology (24 papers), Animal Virus Infections Studies (14 papers), Viral Infections and Vectors (14 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Virology and Viral Diseases (9 papers) and Infectious Diseases and Mycology (8 papers). The work is most often cited by research in Microbiology (62 citations), Infectious Diseases (1.5k citations) and Agronomy and Crop Science (624 citations). Pablo R. Murcia has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Edward C. Holmes, Colin R. Parrish, James L. N. Wood, Rory Gunson, Massimo Palmarini, Sema Nickbakhsh, Fiona Thorburn, Joseph Hughes, Beatrix von Wissmann and Frédérick Arnaud.

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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