Pablo R. Murcia
- Epidemiology top 1%
- Infectious Diseases top 1%
- Agronomy and Crop Science top 1%
- Molecular Biology
- Animal Science and Zoology top 1%
- Co-authors
- Edward C. HolmesColin R. ParrishJames L. N. WoodRory GunsonMassimo PalmariniSema NickbakhshFiona ThorburnJoseph Hughes
- Topics
- Influenza Virus Research Studies (37 papers)Respiratory viral infections research (24 papers)Animal Disease Management and Epidemiology (24 papers)
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
Pablo R. Murcia
81 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Epidemiology 1.8k
- Infectious Diseases 1.5k
- Agronomy and Crop Science 624
- Molecular Biology 465
- Animal Science and Zoology 395
Countries citing papers authored by Pablo R. Murcia
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
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 of co-authors of Pablo R. Murcia
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo R. Murcia. A scholar is included among the top collaborators of Pablo R. Murcia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pablo R. Murcia. Pablo R. Murcia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 50 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 119 | |
| 9 | 7 | |
| 10 | 117 | |
| 11 | 136 | |
| 12 | 32 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | Virus–virus interactions impact the population dynamics of influenza and the common coldbreakdown → | 340 |
| 16 | 13 | |
| 17 | 26 | |
| 18 | 74 | |
| 19 | 15 | |
| 20 | 66 |
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) and Animal Disease Management and Epidemiology (24 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Bioinformatics.
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.