R. A. Mota

75 total papers · 473 total citations
34 papers, 291 citations indexed

About

R. A. Mota is a scholar working on Immunology, Microbiology and Agronomy and Crop Science. According to data from OpenAlex, R. A. Mota has authored 34 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 11 papers in Microbiology and 9 papers in Agronomy and Crop Science. Recurrent topics in R. A. Mota's work include Aquaculture disease management and microbiota (11 papers), Microbial infections and disease research (11 papers) and Milk Quality and Mastitis in Dairy Cows (8 papers). R. A. Mota is often cited by papers focused on Aquaculture disease management and microbiota (11 papers), Microbial infections and disease research (11 papers) and Milk Quality and Mastitis in Dairy Cows (8 papers). R. A. Mota collaborates with scholars based in Brazil, United States and United Kingdom. R. A. Mota's co-authors include Rosane M.T. Medeiros, Franklin Riet-Corrêa, Antônio Flávio Medeiros Dantas, Luciano A. Pimentel, José Wilton Pinheiro, Kip E. Panter, Dale R. Gardner, Elizabeth Sampaio de Medeiros, Eduardo Bento Faria and Bruno Leite dos Anjos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Food Protection and Toxicon.

In The Last Decade

R. A. Mota

30 papers receiving 280 citations

Author Peers

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

Author						Papers	Cites
R. A. Mota	87	68	50	43	39	34	291
Amod Kumar	55 0.6×	60 0.9×	48 1.0×	66 1.5×	20 0.5×	49	305
C. Laugier	54 0.6×	79 1.2×	75 1.5×	55 1.3×	36 0.9×	22	316
Saulo P. Pavarini	48 0.6×	63 0.9×	49 1.0×	53 1.2×	52 1.3×	47	269
Salih Otlu	102 1.2×	42 0.6×	38 0.8×	32 0.7×	17 0.4×	42	327
Praveen Malik	37 0.4×	37 0.5×	54 1.1×	49 1.1×	18 0.5×	47	310
Katarzyna Płoneczka‐Janeczko	62 0.7×	68 1.0×	59 1.2×	117 2.7×	54 1.4×	50	318
Timothy W. J. Olchowy	39 0.4×	92 1.4×	67 1.3×	67 1.6×	18 0.5×	29	324
Erin Manson	77 0.9×	37 0.5×	89 1.8×	50 1.2×	27 0.7×	15	314
Cristian Salogni	39 0.4×	40 0.6×	57 1.1×	67 1.6×	20 0.5×	26	270
Ewelina Kwiecień	78 0.9×	37 0.5×	36 0.7×	73 1.7×	15 0.4×	23	312

Countries citing papers authored by R. A. Mota

Since Specialization

Citations

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

Fields of papers citing papers by R. A. Mota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. A. Mota. 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 R. A. Mota. The network helps show where R. A. Mota may publish in the future.

Co-authorship network of co-authors of R. A. Mota

This figure shows the co-authorship network connecting the top 25 collaborators of R. A. Mota. A scholar is included among the top collaborators of R. A. Mota 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 R. A. Mota. R. A. Mota 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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