Marisa Farber

70 papers receiving 1.2k citations

Peers

Marisa Farber
Comparison fields: 5 of 90
  • Parasitology 659
  • Infectious Diseases 389
  • Insect Science 255
  • Ecology, Evolution, Behavior and Systematics 315
  • Animal Science and Zoology 108
Replace A. G. Arijo with:
A. G. Arijo Pakistan
Ming He China
Roberta Galuppi Italy
Paula Moolhuijzen Australia
Algimantas Paulauskas Lithuania
R. G. Endris United States
Jael Soares Batista Brazil
Márcia Cristina de Azevedo Prata Brazil
M. C. de S. Oliveira Brazil
Fathy Abdel‐Ghaffar Egypt
Marisa Farber relative to A. G. Arijo Pakistan A. G. Arijo's profile →
Citations per field
00.5×3.8×
A. G. Arijo · 1×
Citations per year

Countries citing papers authored by Marisa Farber

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017108
2 2018103
3 200699
4 199580
5 201777
6 200949
7 200348
8 201032
9 201428
10 202127
11 200025
12 202021
13 201521
14 200521
15 201920
16 202218
17 201718
18 201318
19 200817
20 199317

About Marisa Farber

Marisa Farber is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Insect Science, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (44 papers), Viral Infections and Vectors (26 papers), Vector-Borne Animal Diseases (21 papers), Insect and Pesticide Research (10 papers), Insect symbiosis and bacterial influences (7 papers), Parasite Biology and Host Interactions (6 papers), Mosquito-borne diseases and control (6 papers) and Helminth infection and control (4 papers). The work is most often cited by research in Parasitology (659 citations), Infectious Diseases (389 citations), Insect Science (255 citations), Ecology, Evolution, Behavior and Systematics (315 citations) and Animal Science and Zoology (108 citations). Marisa Farber has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Leandro M. Redondo, Mariano E. Fernández-Miyakawa, Juan María Díaz Carrasco, Silvina Elizabeth Wilkowsky, Susana Torioni de Echaide, Ignacio Echaide, Paula Ruybal, Pablo Núñez Demarco, Héctor N. Torres and Laura Tomassone. Their work appears in journals such as Annals of the New York Academy of Sciences, Veterinary Parasitology, Pathogens, Ticks and Tick-borne Diseases and Veterinary Parasitology Regional Studies and Reports.

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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