Iván Martínez-Duncker

1.4k total citations
56 papers, 1.0k citations indexed

About

Iván Martínez-Duncker is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Iván Martínez-Duncker has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Epidemiology and 16 papers in Immunology. Recurrent topics in Iván Martínez-Duncker's work include Glycosylation and Glycoproteins Research (23 papers), Fungal Infections and Studies (21 papers) and Antifungal resistance and susceptibility (12 papers). Iván Martínez-Duncker is often cited by papers focused on Glycosylation and Glycoproteins Research (23 papers), Fungal Infections and Studies (21 papers) and Antifungal resistance and susceptibility (12 papers). Iván Martínez-Duncker collaborates with scholars based in Mexico, France and United States. Iván Martínez-Duncker's co-authors include Héctor M. Mora‐Montes, Rosella Mollicone, Rafaël Oriol, Laura C. García-Carnero, Nancy E. Lozoya‐Pérez, Patrice Codogno, José A. Martínez-Álvarez, Isabelle Chantret, Luis A. Pérez-García and Manuela Gómez-Gaviria and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Iván Martínez-Duncker

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iván Martínez-Duncker Mexico 18 497 346 247 223 214 56 1.0k
Norton Heise Brazil 22 594 1.2× 815 2.4× 138 0.6× 211 0.9× 140 0.7× 43 1.4k
Miguel A. Sosa Argentina 18 490 1.0× 278 0.8× 65 0.3× 112 0.5× 105 0.5× 83 1.2k
Yongnian Shen China 20 361 0.7× 370 1.1× 385 1.6× 102 0.5× 108 0.5× 73 1.0k
Annelies Van Hecke Belgium 14 913 1.8× 299 0.9× 46 0.2× 142 0.6× 192 0.9× 28 1.4k
Ryo Misaki Japan 23 943 1.9× 135 0.4× 79 0.3× 263 1.2× 134 0.6× 76 1.3k
Jason D. Oliver United Kingdom 24 1.0k 2.1× 498 1.4× 438 1.8× 379 1.7× 149 0.7× 35 2.0k
María Martínez‐Esparza Spain 25 612 1.2× 419 1.2× 404 1.6× 513 2.3× 149 0.7× 56 1.8k
Zheng Luo China 18 499 1.0× 190 0.5× 115 0.5× 248 1.1× 145 0.7× 49 1.2k
Jean‐Michel Bruneau France 15 602 1.2× 190 0.5× 251 1.0× 162 0.7× 217 1.0× 19 1.3k
Alastair McKinnon United Kingdom 12 424 0.9× 303 0.9× 421 1.7× 101 0.5× 225 1.1× 17 1.0k

Countries citing papers authored by Iván Martínez-Duncker

Since Specialization
Citations

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

Fields of papers citing papers by Iván Martínez-Duncker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iván Martínez-Duncker. 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 Iván Martínez-Duncker. The network helps show where Iván Martínez-Duncker may publish in the future.

Co-authorship network of co-authors of Iván Martínez-Duncker

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Martínez-Duncker. A scholar is included among the top collaborators of Iván Martínez-Duncker 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 Iván Martínez-Duncker. Iván Martínez-Duncker 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.
Gómez-Gaviria, Manuela, José A. Martínez-Álvarez, Iván Martínez-Duncker, Andréa Regina Baptista Rossit, & Héctor M. Mora‐Montes. (2025). Silencing of MNT1 and PMT2 Shows the Importance of O-Linked Glycosylation During the Sporothrix schenckii–Host Interaction. Journal of Fungi. 11(5). 352–352.
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Martínez-Álvarez, José A., et al.. (2024). Silencing of Sporothrix schenckii GP70 Reveals Its Contribution to Fungal Adhesion, Virulence, and the Host–Fungus Interaction. Journal of Fungi. 10(5). 302–302. 8 indexed citations
4.
Martínez-Duncker, Iván, et al.. (2024). La odisea de las enfermedades raras. 19(49). 1–12. 1 indexed citations
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Jiménez‐Ferrer, Enrique, et al.. (2024). Nootropic Effects of 7-Isoprenyloxycoumarin and Herniarin from Tagetes lucida on Lipopolysaccharide-Induced Neuroinflammation. Revista Brasileira de Farmacognosia. 34(4). 738–749. 2 indexed citations
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Gómez-Gaviria, Manuela, et al.. (2023). Differential Recognition of Clinically Relevant Sporothrix Species by Human Granulocytes. Journal of Fungi. 9(10). 986–986. 6 indexed citations
8.
García-Carnero, Laura C., Iván Martínez-Duncker, Manuela Gómez-Gaviria, & Héctor M. Mora‐Montes. (2023). Differential Recognition of Clinically Relevant Sporothrix Species by Human Mononuclear Cells. Journal of Fungi. 9(4). 448–448. 10 indexed citations
9.
Martínez-Duncker, Iván, et al.. (2022). Polysialic Acid in the Immune System. Frontiers in Immunology. 12. 823637–823637. 28 indexed citations
10.
Lozoya‐Pérez, Nancy E., Laura C. García-Carnero, José A. Martínez-Álvarez, Iván Martínez-Duncker, & Héctor M. Mora‐Montes. (2021). Tenebrio molitor as an Alternative Model to Analyze the Sporothrix Species Virulence. Infection and Drug Resistance. Volume 14. 2059–2072. 24 indexed citations
11.
Ghione, S, et al.. (2021). Platelet Membrane Glycoprofiling in a PMM2-CDG Patient. SHILAP Revista de lepidopterología. 9. 3 indexed citations
12.
Mancilla‐Herrera, Ismael, et al.. (2021). SLAMF7 selectively favors degranulation to promote cytotoxicity in human NK cells. European Journal of Immunology. 52(1). 62–74. 12 indexed citations
13.
García-Carnero, Laura C., Nancy E. Lozoya‐Pérez, Katarzyna Wróbel, et al.. (2021). The Heat Shock Protein 60 and Pap1 Participate in the Sporothrix schenckii-Host Interaction. Journal of Fungi. 7(11). 960–960. 22 indexed citations
14.
García-Carnero, Laura C., et al.. (2019). <p>Differential recognition of <em>Candida tropicalis</em>, <em>Candida guilliermondii</em>, <em>Candida krusei</em>, and <em>Candida auris</em> by human innate immune cells</p>. Infection and Drug Resistance. Volume 12. 783–794. 97 indexed citations
15.
Mollicone, Rosella, et al.. (2015). Activation of human naïve Th cells increases surface expression of GD3 and induces neoexpression of GD2 that colocalize with TCR clusters. Glycobiology. 25(12). 1454–1464. 16 indexed citations
16.
Raymond, Kimiyo, et al.. (2014). ATP6V0A2 mutations present in two Mexican Mestizo children with an autosomal recessive cutis laxa syndrome type IIA. Molecular Genetics and Metabolism Reports. 1. 203–212. 10 indexed citations
17.
León‐Rivera, Ismael, Maribel Herrera‐Ruíz, Samuel Estrada‐Soto, et al.. (2011). Sedative, vasorelaxant, and cytotoxic effects of convolvulin from Ipomoea tyrianthina. Journal of Ethnopharmacology. 135(2). 434–439. 12 indexed citations
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Oriol, Rafaël, Iván Martínez-Duncker, Isabelle Chantret, Rosella Mollicone, & Patrice Codogno. (2002). Common Origin and Evolution of Glycosyltransferases Using Dol-P-monosaccharides as Donor Substrate. Molecular Biology and Evolution. 19(9). 1451–1463. 68 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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