A. Vieira-Neto

42 total papers · 1.6k total citations
33 papers, 1.2k citations indexed

About

A. Vieira-Neto is a scholar working on Agronomy and Crop Science, Genetics and Small Animals. According to data from OpenAlex, A. Vieira-Neto has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Agronomy and Crop Science, 9 papers in Genetics and 8 papers in Small Animals. Recurrent topics in A. Vieira-Neto's work include Reproductive Physiology in Livestock (29 papers), Ruminant Nutrition and Digestive Physiology (15 papers) and Genetic and phenotypic traits in livestock (9 papers). A. Vieira-Neto is often cited by papers focused on Reproductive Physiology in Livestock (29 papers), Ruminant Nutrition and Digestive Physiology (15 papers) and Genetic and phenotypic traits in livestock (9 papers). A. Vieira-Neto collaborates with scholars based in United States, Brazil and Australia. A. Vieira-Neto's co-authors include J.E.P. Santos, Klibs N. Galvão, W.W. Thatcher, F.S. Lima, Soo Jin Jeon, Svetlana Lima, R.C. Bicalho, C.A. Risco, R.S. Bisinotto and Kwangcheol Casey Jeong and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Dairy Science.

In The Last Decade

A. Vieira-Neto

33 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A. Vieira-Neto 1.0k 454 287 247 219 33 1.2k
Aspinas Chapwanya 940 0.9× 389 0.9× 263 0.9× 266 1.1× 401 1.8× 48 1.3k
John H. Kirk 890 0.9× 480 1.1× 174 0.6× 195 0.8× 115 0.5× 60 1.2k
P.C. Irons 636 0.6× 377 0.8× 197 0.7× 292 1.2× 79 0.4× 36 1.1k
Kevin D. Pelzer 459 0.5× 298 0.7× 394 1.4× 220 0.9× 152 0.7× 43 1.4k
L. Mateus 800 0.8× 274 0.6× 108 0.4× 259 1.0× 413 1.9× 56 1.2k
Kathrin Herzog 730 0.7× 459 1.0× 210 0.7× 219 0.9× 136 0.6× 46 1.3k
R.C.W. Daniel 910 0.9× 226 0.5× 150 0.5× 247 1.0× 398 1.8× 82 1.1k
G.M. Schuenemann 817 0.8× 420 0.9× 430 1.5× 440 1.8× 71 0.3× 66 1.1k
M.D. Eaglesome 622 0.6× 386 0.9× 109 0.4× 128 0.5× 259 1.2× 37 1.2k
Leo L. Timms 822 0.8× 270 0.6× 202 0.7× 283 1.1× 136 0.6× 50 1.2k

Countries citing papers authored by A. Vieira-Neto

Since Specialization
Citations

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

Fields of papers citing papers by A. Vieira-Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Vieira-Neto. 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 A. Vieira-Neto. The network helps show where A. Vieira-Neto may publish in the future.

Co-authorship network of co-authors of A. Vieira-Neto

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

All Works

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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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