Laura Chávez-Macías

23 total papers · 775 total citations
15 papers, 496 citations indexed

About

Laura Chávez-Macías is a scholar working on Physiology, Surgery and Molecular Biology. According to data from OpenAlex, Laura Chávez-Macías has authored 15 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Laura Chávez-Macías's work include Histiocytic Disorders and Treatments (3 papers), Alzheimer's disease research and treatments (3 papers) and Glioma Diagnosis and Treatment (3 papers). Laura Chávez-Macías is often cited by papers focused on Histiocytic Disorders and Treatments (3 papers), Alzheimer's disease research and treatments (3 papers) and Glioma Diagnosis and Treatment (3 papers). Laura Chávez-Macías collaborates with scholars based in Mexico, United States and Cuba. Laura Chávez-Macías's co-authors include Raúl Mena, José Luna‐Muñoz, Francisco García‐Sierra, Viviana Falcón, Ivón Menéndez, José Luis Criales, Eric Kimura‐Hayama, Jesús Rodríguez‐Carbajal, Claude M. Wischik and Charles R. Harrington and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Laura Chávez-Macías

13 papers receiving 485 citations

Author Peers

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

Author Last Decade Papers Cites
Laura Chávez-Macías 247 154 138 86 79 15 496
I. Jean Macintyre 174 0.7× 192 1.2× 64 0.5× 44 0.5× 34 0.4× 12 575
Robnet T. Kerns 158 0.6× 324 2.1× 102 0.7× 53 0.6× 36 0.5× 18 587
Rosemary Ahrens 179 0.7× 205 1.3× 40 0.3× 72 0.8× 172 2.2× 11 573
Victor Tseng 93 0.4× 158 1.0× 74 0.5× 58 0.7× 72 0.9× 20 508
Annalisa Nicotra 70 0.3× 168 1.1× 132 1.0× 39 0.5× 37 0.5× 21 489
April Cox 73 0.3× 222 1.4× 125 0.9× 137 1.6× 37 0.5× 17 494
Frank Drießler 122 0.5× 163 1.1× 77 0.6× 32 0.4× 66 0.8× 11 572
Sookhee Bang 190 0.8× 277 1.8× 95 0.7× 15 0.2× 68 0.9× 14 615
Johanne Bertrand 162 0.7× 267 1.7× 317 2.3× 51 0.6× 41 0.5× 10 527
Fumiyo Matsuda 89 0.4× 166 1.1× 84 0.6× 91 1.1× 37 0.5× 21 574

Countries citing papers authored by Laura Chávez-Macías

Since Specialization
Citations

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

Fields of papers citing papers by Laura Chávez-Macías

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Chávez-Macías

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