Federico Márquez

1.1k total citations
72 papers, 858 citations indexed

About

Federico Márquez is a scholar working on Geometry and Topology, Ecology, Evolution, Behavior and Systematics and Paleontology. According to data from OpenAlex, Federico Márquez has authored 72 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Geometry and Topology, 18 papers in Ecology, Evolution, Behavior and Systematics and 16 papers in Paleontology. Recurrent topics in Federico Márquez's work include Morphological variations and asymmetry (32 papers), Cephalopods and Marine Biology (16 papers) and Evolution and Paleontology Studies (14 papers). Federico Márquez is often cited by papers focused on Morphological variations and asymmetry (32 papers), Cephalopods and Marine Biology (16 papers) and Evolution and Paleontology Studies (14 papers). Federico Márquez collaborates with scholars based in Argentina, Chile and Ecuador. Federico Márquez's co-authors include Gregório Bigatti, Silvina Van der Molen, Rolando González‐José, Yanina L. Idaszkin, María Edith Ré, Nicolás Ortíz, Cyntia Ayumi Yokota Harayashiki, Ítalo Braga Castro, Andrés Averbuj and Mariana Lozada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Environmental Pollution.

In The Last Decade

Federico Márquez

66 papers receiving 849 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Federico Márquez Argentina 18 254 249 225 223 160 72 858
Athol McLachlan United Kingdom 17 113 0.4× 1.1k 4.3× 64 0.3× 111 0.5× 527 3.3× 33 1.8k
R. Natalie P. Goodall Argentina 17 65 0.3× 555 2.2× 54 0.2× 180 0.8× 144 0.9× 34 660
Victor R. Alekseev Russia 18 391 1.5× 695 2.8× 34 0.2× 188 0.8× 87 0.5× 77 1.1k
Carl Christian Kinze Denmark 15 87 0.3× 499 2.0× 19 0.1× 210 0.9× 97 0.6× 32 723
Luis A. Hurtado United States 20 556 2.2× 706 2.8× 22 0.1× 278 1.2× 115 0.7× 46 1.2k
Dominique Ponton France 24 305 1.2× 638 2.6× 34 0.2× 567 2.5× 49 0.3× 86 1.7k
Paul E. Bourdeau United States 17 315 1.2× 417 1.7× 19 0.1× 313 1.4× 181 1.1× 37 765
Luiz Ricardo L. Simone Brazil 18 737 2.9× 765 3.1× 10 0.0× 398 1.8× 249 1.6× 182 1.3k
Roger D. Sepúlveda Chile 16 242 1.0× 285 1.1× 32 0.1× 231 1.0× 181 1.1× 40 621
Hidehiro Kato Japan 14 253 1.0× 669 2.7× 10 0.0× 151 0.7× 111 0.7× 56 1.0k

Countries citing papers authored by Federico Márquez

Since Specialization
Citations

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

Fields of papers citing papers by Federico Márquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Márquez

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Márquez. A scholar is included among the top collaborators of Federico Márquez 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 Federico Márquez. Federico Márquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Delrieu‐Trottin, Erwan, et al.. (2024). Otolith shape variability of labrid fish from Rapa Nui (Easter Island), southeastern Pacific. Fisheries Research. 281. 107233–107233. 1 indexed citations
2.
Leonardi, María Soledad, et al.. (2024). The deeper the rounder: body shape variation in lice parasitizing diving hosts. Scientific Reports. 14(1). 20947–20947. 1 indexed citations
3.
Herbert, Gregory S., et al.. (2024). Geometric morphometrics reveal that Conus anabathrum Crosse, 1865 (Neogastropoda: Conidae) should be an accepted species. Journal of Molluscan Studies. 90(2). 1 indexed citations
7.
Idaszkin, Yanina L., et al.. (2023). Assessment of halophyte plant phenotypic responses under heavy metals pollution. Implications for monitoring and phytoremediation. Environmental Pollution. 331(Pt 2). 121916–121916. 7 indexed citations
8.
Chaparro, Óscar R., Jorge M. Navarro, V.M. Cubillos, et al.. (2023). Upwelling as a stressor event during embryonic development: Consequences for encapsulated and early juvenile stages of the marine gastropod Acanthina monodon. Marine Environmental Research. 193. 106270–106270.
9.
Márquez, Federico, et al.. (2023). Labral tooth loss in the carnivorous gastropod Acanthina monodon: Recovery capacity and incidence in the feeding process. Journal of Experimental Marine Biology and Ecology. 568. 151934–151934. 1 indexed citations
10.
Márquez, Federico, et al.. (2022). Macroscopic and histological studies of different segments of the digestive tract of the Rufescent Tiger heron (Tigrisoma lineatum).. Revista del Museo Argentino de Ciencias Naturales. 24. 187–196. 1 indexed citations
11.
Harayashiki, Cyntia Ayumi Yokota, et al.. (2022). Mollusc shell shape as pollution biomarkers: Which is the best biological model?. Marine Pollution Bulletin. 179. 113663–113663. 13 indexed citations
12.
Molen, Silvina Van der, et al.. (2021). Can shell shape be used to find the origin of South American mussels?. Marine Biology Research. 17(2). 215–222. 3 indexed citations
13.
Márquez, Federico, Mariana Lozada, Yanina L. Idaszkin, Rolando González‐José, & Gregório Bigatti. (2021). Cannabis Varieties Can Be Distinguished by Achene Shape Using Geometric Morphometrics. Cannabis and Cannabinoid Research. 7(4). 409–414. 3 indexed citations
14.
Márquez, Federico, et al.. (2020). Phenotypic plasticity at fine-grained spatial scales: the scorched mussel Perumytilus purpuratus growing on Patagonian rocky salt-marshes. Scientia Marina. 84(4). 393–401. 1 indexed citations
15.
Harayashiki, Cyntia Ayumi Yokota, et al.. (2020). Historical shell form variation in Lottia subrugosa from southeast Brazilian coast: Possible responses to anthropogenic pressures. Marine Pollution Bulletin. 155. 111180–111180. 14 indexed citations
16.
Idaszkin, Yanina L., et al.. (2018). Leaf shape variation as a potential biomarker of soil pollution. Ecotoxicology and Environmental Safety. 164. 69–74. 20 indexed citations
17.
Márquez, Federico, et al.. (2016). Shell shape as a biomarker of marine pollution historic increase. Marine Pollution Bulletin. 114(2). 816–820. 34 indexed citations
18.
Márquez, Federico, et al.. (2015). The dual quark condensate in local and nonlocal NJL models: An order parameter for deconfinement?. Physics Letters B. 747. 529–535. 14 indexed citations
19.
Márquez, Federico, et al.. (2014). Effect of recreational diving on Patagonian rocky reefs. Marine Environmental Research. 104. 31–36. 17 indexed citations
20.
Márquez, Federico, et al.. (2012). A histopathological survey of the razor clam Ensis macha (Pharidae) along the Patagonian Argentina coast. Journal of Invertebrate Pathology. 112(3). 253–259. 15 indexed citations

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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