Marcela Uhart

102 papers receiving 2.3k citations

Marcela Uhart's Hit Papers

Highly Pathogenic Avian Influenza A(H5N1) Viruses from Multispecies Outbreak, Argentina, August 2023 2024 · 47 citations
470+1+2Years since publication50100150

Peers

Marcela Uhart
Comparison fields: 5 of 117
  • Parasitology 311
  • Agronomy and Crop Science 440
  • Ecology 1.0k
  • Infectious Diseases 587
  • Virology 100
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Citations per field
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Citations per year

Countries citing papers authored by Marcela Uhart

Since Specialization
Citations

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

Fields of papers citing papers by Marcela Uhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Highly pathogenic avian influenza A (H5N1) in marine mammals and seabirds in Peru
Hit paper breakdown →
2023187
2 2016157
3 2010105
4 2013102
5 202099
6 201995
7 202088
8 200279
9 200877
10 200370
11
Health evaluation of free-ranging guanaco (Lama guanicoe).
199849
12
Highly Pathogenic Avian Influenza A(H5N1) Viruses from Multispecies Outbreak, Argentina, August 2023
Hit paper breakdown →
202447
13
Helminths of Geoffroy's cat, Oncifelis geoffroyi [Carnivora, Felidae] from the Monte desert, Central Argentina
200541
14
Health evaluation of free-ranging rockhopper penguins (Eudyptes chrysocomes) in Argentina.
199939
15 200335
16 202434
17 201534
18 201534
19 202334
20 201234

About Marcela Uhart

Marcela Uhart is a scholar working on Ecology, Infectious Diseases, Parasitology, Agronomy and Crop Science and Epidemiology, having authored 107 papers that have together received 2.4k indexed citations. Recurring topics across this work include Marine animal studies overview (21 papers), Animal Disease Management and Epidemiology (21 papers), Viral Infections and Vectors (17 papers), Zoonotic diseases and public health (14 papers), Bird parasitology and diseases (13 papers), Influenza Virus Research Studies (12 papers), Mercury impact and mitigation studies (10 papers) and Avian ecology and behavior (10 papers). The work is most often cited by research in Parasitology (311 citations), Agronomy and Crop Science (440 citations), Ecology (1.0k citations), Infectious Diseases (587 citations) and Virology (100 citations). Marcela Uhart has collaborated with scholars based in United States, Argentina and Brazil. Frequent co-authors include William B. Karesh, Hebe Ferreyra, Flavio Quintana, Pablo M. Beldoménico, Mariano Sironi, Ralph Eric Thijl Vanstreels, Javier A. Pereira, J. Matías Di Martino, Agustina Rimondi and Marcelo Romano. Their work appears in journals such as Journal of Wildlife Diseases, PLoS ONE, Marine Mammal Science, Marine Pollution Bulletin and Polar 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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