Karina Machado

123 total papers · 700 total citations
60 papers, 448 citations indexed

About

Karina Machado is a scholar working on Molecular Biology, Computational Theory and Mathematics and General Health Professions. According to data from OpenAlex, Karina Machado has authored 60 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 7 papers in General Health Professions. Recurrent topics in Karina Machado's work include Computational Drug Discovery Methods (14 papers), Protein Structure and Dynamics (10 papers) and Drug Transport and Resistance Mechanisms (5 papers). Karina Machado is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Protein Structure and Dynamics (10 papers) and Drug Transport and Resistance Mechanisms (5 papers). Karina Machado collaborates with scholars based in Brazil, United States and Uruguay. Karina Machado's co-authors include Adriano Velasque Werhli, Osmar Norberto de Souza, Duncan D. Ruiz, Michael González‐Durruthy, José María Monserrat, Eduardo Nunes Borges, Leonardo Henrique França de Lima, Luís Fernando Marins, E. SCHROEDER and Raquel C. de Melo-Minardi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Science of The Total Environment.

In The Last Decade

Karina Machado

50 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Karina Machado	199	87	56	51	50	60	448
Tayo Alex Adekiya	159 0.8×	59 0.7×	19 0.3×	24 0.5×	48 1.0×	29	490
Jingxuan Zhu	310 1.6×	67 0.8×	35 0.6×	40 0.8×	18 0.4×	28	513
Raphael Taiwo Aruleba	171 0.9×	70 0.8×	14 0.3×	30 0.6×	30 0.6×	27	499
Jongwan Kim	244 1.2×	59 0.7×	29 0.5×	16 0.3×	16 0.3×	38	499
Jihui Zhao	235 1.2×	198 2.3×	79 1.4×	73 1.4×	17 0.3×	30	502
Satyam Singh	105 0.5×	74 0.9×	31 0.6×	79 1.5×	16 0.3×	27	436
Saad Raza	314 1.6×	152 1.7×	34 0.6×	102 2.0×	26 0.5×	33	542
Nahlah Makki Almansour	259 1.3×	48 0.6×	47 0.8×	31 0.6×	62 1.2×	27	552
Petr Škoda	253 1.3×	176 2.0×	47 0.8×	39 0.8×	9 0.2×	24	483
Dev Bukhsh Singh	211 1.1×	122 1.4×	33 0.6×	53 1.0×	17 0.3×	45	490

Countries citing papers authored by Karina Machado

Since Specialization

Citations

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

Fields of papers citing papers by Karina Machado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karina Machado

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