Cláudia Majolo

59 total papers · 418 total citations
31 papers, 328 citations indexed

About

Cláudia Majolo is a scholar working on Immunology, Food Science and Pharmacology. According to data from OpenAlex, Cláudia Majolo has authored 31 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 16 papers in Food Science and 10 papers in Pharmacology. Recurrent topics in Cláudia Majolo's work include Aquaculture disease management and microbiota (16 papers), Essential Oils and Antimicrobial Activity (14 papers) and Aquaculture Nutrition and Growth (8 papers). Cláudia Majolo is often cited by papers focused on Aquaculture disease management and microbiota (16 papers), Essential Oils and Antimicrobial Activity (14 papers) and Aquaculture Nutrition and Growth (8 papers). Cláudia Majolo collaborates with scholars based in Brazil, United States and Romania. Cláudia Majolo's co-authors include Edsandra Campos Chagas, Francisco Célio Maia Chaves, H. R. Bizzo, Franmir Rodrigues Brandão, Fernanda Loureiro de Almeida, Marcos Tavares‐Dias, L. A. K. A. Inoue, P. O. Maciel, Fernanda de Alexandre Sebastião and Vladimir Pinheiro do Nascimento and has published in prestigious journals such as Aquaculture, Nanomaterials and Journal of Fish Diseases.

In The Last Decade

Cláudia Majolo

30 papers receiving 321 citations

Author Peers

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

Author						Papers	Cites
Cláudia Majolo	164	156	104	100	68	31	328
Supap Saenphet	88 0.5×	18 0.1×	54 0.5×	88 0.9×	115 1.7×	34	358
Dimitra Kogiannou	67 0.4×	78 0.5×	46 0.4×	53 0.5×	51 0.8×	18	286
E. T. O. Yoshioka	168 1.0×	22 0.1×	24 0.2×	127 1.3×	93 1.4×	29	314
Mamduh Sifri	36 0.2×	54 0.3×	75 0.7×	34 0.3×	37 0.5×	24	363
Li WeiFen	125 0.8×	99 0.6×	48 0.5×	117 1.2×	20 0.3×	29	365
Mona Ismail	140 0.9×	14 0.1×	43 0.4×	145 1.4×	67 1.0×	23	365
Francisca Gleire Rodrigues de Menezes	93 0.6×	117 0.8×	51 0.5×	36 0.4×	44 0.6×	25	327
Nagarajan Balachandran Dhayanithi	192 1.2×	32 0.2×	51 0.5×	118 1.2×	22 0.3×	21	310
Hasnita Che Harun	97 0.6×	48 0.3×	52 0.5×	127 1.3×	23 0.3×	24	269
Himadri Saha	194 1.2×	19 0.1×	36 0.3×	170 1.7×	53 0.8×	35	340

Countries citing papers authored by Cláudia Majolo

Since Specialization

Citations

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

Fields of papers citing papers by Cláudia Majolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cláudia Majolo

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