Laura Machín

25 total papers · 772 total citations
15 papers, 550 citations indexed

About

Laura Machín is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Laura Machín has authored 15 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 4 papers in Computational Theory and Mathematics and 4 papers in Plant Science. Recurrent topics in Laura Machín's work include Research on Leishmaniasis Studies (7 papers), Computational Drug Discovery Methods (4 papers) and Peptidase Inhibition and Analysis (3 papers). Laura Machín is often cited by papers focused on Research on Leishmaniasis Studies (7 papers), Computational Drug Discovery Methods (4 papers) and Peptidase Inhibition and Analysis (3 papers). Laura Machín collaborates with scholars based in Cuba, Austria and China. Laura Machín's co-authors include Lianet Monzote, Bahare Salehi, Shahira M. Ezzat, Miquel Martorell, Mehdi Sharifi‐Rad, Javad Sharifi‐Rad, Oksana Sytar, Rana M. Merghany, Natália Martins and Mohamed A. Salem and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Biochemical Pharmacology.

In The Last Decade

Laura Machín

11 papers receiving 535 citations

Hit Papers

Therapeutic Potential of ... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Laura Machín 160 110 103 88 61 15 550
Zohair S. Mulla 170 1.1× 123 1.1× 116 1.1× 115 1.3× 21 0.3× 8 618
Rana M. Merghany 172 1.1× 128 1.2× 123 1.2× 114 1.3× 16 0.3× 15 574
Glauber Vilhena da Costa 129 0.8× 103 0.9× 112 1.1× 49 0.6× 30 0.5× 11 470
Yi Zhang 206 1.3× 91 0.8× 83 0.8× 90 1.0× 19 0.3× 17 619
Shiv Kumar 223 1.4× 191 1.7× 115 1.1× 84 1.0× 43 0.7× 29 615
Reza Entezari Heravi 190 1.2× 87 0.8× 113 1.1× 43 0.5× 14 0.2× 11 565
Seddigheh Asgary 153 1.0× 94 0.9× 82 0.8× 60 0.7× 40 0.7× 15 546
Magdalena N. Rennó 157 1.0× 181 1.6× 73 0.7× 70 0.8× 44 0.7× 24 566
Zia Uddin 258 1.6× 146 1.3× 55 0.5× 47 0.5× 48 0.8× 27 516
Muqeet Wahid 127 0.8× 100 0.9× 103 1.0× 83 0.9× 20 0.3× 23 527

Countries citing papers authored by Laura Machín

Since Specialization
Citations

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

Fields of papers citing papers by Laura Machín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Machín

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