Miriam Pedrera

1.4k citations
51 papers · 796 indexed · h-index 19

Impact in

Papers in

Miriam Pedrera

50 papers receiving 778 citations

Peers

Miriam Pedrera
Comparison fields: 5 of 66
  • Agronomy and Crop Science 419
  • Animal Science and Zoology 196
  • Ecology, Evolution, Behavior and Systematics 309
  • Infectious Diseases 288
  • Immunology 187
Replace Katinka Belák with:
Katinka Belák Sweden
Magdalena Larska Poland
Benjamin W. Newcomer United States
Byounghan Kim South Korea
Ronan O’Neill Ireland
Luís Guilherme de Oliveira Brazil
I. R. Littlejohns Australia
Wen‐Bin Chung Taiwan
K. Rajukumar India
Claudio Caruso Italy
Miriam Pedrera relative to Katinka Belák Sweden Katinka Belák's profile →
Citations per field
00.5×5.7×
Katinka Belák · 1×
Citations per year

Countries citing papers authored by Miriam Pedrera

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Pedrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20246
3 202411
4 202327
5 20222
6 202012
7 202029
8 201811
9 201723
10 201625
11 201333
12 201331
13 201317
14 201138
15 200922
16 200714
17 20075
18 200519
19 19959
20 199224

About Miriam Pedrera

Miriam Pedrera is a scholar working on Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology and Immunology, having authored 51 papers that have together received 796 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (29 papers), Vector-Borne Animal Diseases (21 papers), Viral gastroenteritis research and epidemiology (11 papers), Animal Virus Infections Studies (10 papers), Viral Infections and Vectors (9 papers), T-cell and Retrovirus Studies (7 papers), Virology and Viral Diseases (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Agronomy and Crop Science (419 citations), Animal Science and Zoology (196 citations), Ecology, Evolution, Behavior and Systematics (309 citations), Infectious Diseases (288 citations) and Immunology (187 citations). Miriam Pedrera has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include J.C. Gómez-Villamandos, P.J. Sánchez-Cordón, María Á. Risalde, Alejandro Núñez, José Manuel Sánchez‐Vizcaíno, José Lorenzo Romero-Trevejo, M. Fernández de Marco, Francisco J. Salguero, Giulia Franzoni and Simon P. Graham. Their work appears in journals such as Journal of Comparative Pathology, Transboundary and Emerging Diseases, Comparative Immunology Microbiology and Infectious Diseases, Veterinary Pathology and Veterinary Microbiology.

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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