Graciela Cárdenas

78 total papers · 1.3k total citations
57 papers, 918 citations indexed

About

Graciela Cárdenas is a scholar working on Infectious Diseases, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Graciela Cárdenas has authored 57 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 17 papers in Pathology and Forensic Medicine and 12 papers in Epidemiology. Recurrent topics in Graciela Cárdenas's work include Parasitic infections in humans and animals (17 papers), Infectious Diseases and Tuberculosis (7 papers) and Parasites and Host Interactions (6 papers). Graciela Cárdenas is often cited by papers focused on Parasitic infections in humans and animals (17 papers), Infectious Diseases and Tuberculosis (7 papers) and Parasites and Host Interactions (6 papers). Graciela Cárdenas collaborates with scholars based in Mexico, United States and France. Graciela Cárdenas's co-authors include Edda Sciutto, Agnès Fleury, Gladis Fragoso, José Luis Soto‐Hernández, Laura Adalid‐Peralta, Asiel Arce-Sillas, Helgi Jung, Anahí Chavarría, Juan Rodríguez‐Ramírez and Marisela Hernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Neurology and Scientific Reports.

In The Last Decade

Graciela Cárdenas

53 papers receiving 896 citations

Author Peers

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

Author Last Decade Papers Cites
Graciela Cárdenas 350 246 200 171 140 57 918
José Eymard Homem Pittella 251 0.7× 147 0.6× 421 2.1× 136 0.8× 39 0.3× 75 1.1k
Hirokazu Kouguchi 290 0.8× 169 0.7× 277 1.4× 124 0.7× 82 0.6× 65 877
Renyong Lin 380 1.1× 294 1.2× 248 1.2× 122 0.7× 248 1.8× 56 1.1k
Maneesh Kumar Singh 105 0.3× 241 1.0× 99 0.5× 384 2.2× 61 0.4× 54 1.1k
José Luis Soto‐Hernández 357 1.0× 234 1.0× 117 0.6× 195 1.1× 14 0.1× 75 870
S. Frydas 118 0.3× 88 0.4× 140 0.7× 124 0.7× 351 2.5× 72 1.0k
J Goldhill 56 0.2× 126 0.5× 386 1.9× 187 1.1× 265 1.9× 28 1.1k
Pedro Ostoa‐Saloma 121 0.3× 127 0.5× 230 1.1× 130 0.8× 212 1.5× 46 993
Cathrine Jespersgaard 138 0.4× 87 0.4× 213 1.1× 138 0.8× 72 0.5× 40 1.1k
J.S. Chopra 156 0.4× 179 0.7× 42 0.2× 87 0.5× 16 0.1× 74 1.1k

Countries citing papers authored by Graciela Cárdenas

Since Specialization
Citations

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

Fields of papers citing papers by Graciela Cárdenas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graciela Cárdenas

This figure shows the co-authorship network connecting the top 25 collaborators of Graciela Cárdenas. A scholar is included among the top collaborators of Graciela Cárdenas 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 Graciela Cárdenas. Graciela Cárdenas 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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2026