María T. Correa

2.2k citations
50 papers · 1.7k indexed · h-index 22
Topics
Antimicrobial Resistance in Staphylococcus (5 papers)Viral gastroenteritis research and epidemiology (5 papers)Vector-borne infectious diseases (5 papers)

In The Last Decade

María T. Correa

50 papers receiving 1.6k citations

Peers

María T. Correa
Comparison fields: 5 of 114
  • Infectious Diseases 597
  • Parasitology 431
  • Agronomy and Crop Science 429
  • Small Animals 421
  • Genetics 301
Replace Vickie L. King with:
Vickie L. King United States
Michał Czopowicz Poland
Annick Lindén Belgium
Antonio Rodríguez‐Bertos Spain
Barbara Riond Switzerland
Caroline F. Frey Switzerland
G. R. Pearson United Kingdom
Alan J. Guthrie South Africa
Fabrizio Passamonti Italy
Selwyn Arlington Headley Brazil
María T. Correa relative to Vickie L. King United States Vickie L. King's profile →
Citations per field
00.5×1.7×
Vickie L. King · 1×
Citations per year

Countries citing papers authored by María T. Correa

Since Specialization
Citations

This map shows the geographic impact of María T. Correa'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 María T. Correa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María T. Correa more than expected).

Fields of papers citing papers by María T. Correa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María T. Correa. 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 María T. Correa. The network helps show where María T. Correa may publish in the future.

Co-authorship network of co-authors of María T. Correa

This figure shows the co-authorship network connecting the top 25 collaborators of María T. Correa. A scholar is included among the top collaborators of María T. Correa 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 María T. Correa. María T. Correa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 2
3 3
4 55
5 21
6 5
7 29
8 25
9 17
10 60
11 41
12 87
13 1
14 6
15 50
16 1
17 2
18 5
19 16
20 220

About María T. Correa

María T. Correa is a scholar working on Small Animals, Equine and Parasitology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (5 papers), Viral gastroenteritis research and epidemiology (5 papers) and Vector-borne infectious diseases (5 papers). The work is most often cited by research in Parasitology (431 citations), Small Animals (421 citations) and Equine (81 citations). María T. Correa has collaborated with scholars based in United States, Uruguay and United Kingdom. Frequent co-authors include Hollis N. Erb, Edward B. Breitschwerdt, Janet M. Scarlett, Adam J. Birkenheuer, Ashlee W. Duncan, Michael G. Levy, Jay F. Levine, Brandee Pappalardo, Charles R. Curtis and Roberta Lyman. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and Journal of Dairy Science.

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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