Meritxell Riquelme

4.0k total citations
68 papers, 2.7k citations indexed

About

Meritxell Riquelme is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Meritxell Riquelme has authored 68 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 28 papers in Cell Biology and 28 papers in Plant Science. Recurrent topics in Meritxell Riquelme's work include Fungal and yeast genetics research (25 papers), Protist diversity and phylogeny (17 papers) and Plant Pathogens and Fungal Diseases (12 papers). Meritxell Riquelme is often cited by papers focused on Fungal and yeast genetics research (25 papers), Protist diversity and phylogeny (17 papers) and Plant Pathogens and Fungal Diseases (12 papers). Meritxell Riquelme collaborates with scholars based in Mexico, United States and Germany. Meritxell Riquelme's co-authors include Salomón Bartnicki-Garcı́a, Eddy Sánchez‐León, Jorge Verdín, Gerhard Gierz, Robert W. Roberson, Raúl C. Baptista‐Rosas, Rainer Fischer, Michael Freitag, Rosa R. Mouriño‐Pérez and Gerhard H. Braus and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Meritxell Riquelme

66 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meritxell Riquelme Mexico 30 1.7k 1.2k 992 442 245 68 2.7k
Robert W. Roberson United States 32 2.1k 1.2× 1.9k 1.6× 1.4k 1.4× 502 1.1× 162 0.7× 94 3.6k
Darren M. Soanes United Kingdom 30 1.7k 1.0× 1.9k 1.6× 1.0k 1.0× 349 0.8× 93 0.4× 50 2.9k
Alan Kuo United States 22 1.8k 1.0× 1.7k 1.4× 695 0.7× 601 1.4× 310 1.3× 46 3.5k
Alfons J. M. Debets Netherlands 34 1.7k 1.0× 1.8k 1.5× 1.1k 1.1× 394 0.9× 272 1.1× 118 3.8k
Kristina Smith United States 26 1.9k 1.1× 1.1k 0.9× 360 0.4× 333 0.8× 204 0.8× 40 2.7k
Mathieu Paoletti France 23 925 0.5× 1.3k 1.1× 600 0.6× 304 0.7× 62 0.3× 27 2.0k
Jacob L. Steenwyk United States 25 1.1k 0.7× 823 0.7× 474 0.5× 353 0.8× 58 0.2× 71 2.2k
TJ White United States 6 972 0.6× 1.9k 1.6× 1.3k 1.3× 252 0.6× 64 0.3× 7 2.9k
Barbara Robbertse United States 15 1.2k 0.7× 914 0.8× 577 0.6× 169 0.4× 65 0.3× 24 2.2k
H. C. Hoch United States 39 2.2k 1.3× 3.3k 2.8× 1.6k 1.6× 515 1.2× 361 1.5× 125 4.9k

Countries citing papers authored by Meritxell Riquelme

Since Specialization
Citations

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

Fields of papers citing papers by Meritxell Riquelme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meritxell Riquelme

This figure shows the co-authorship network connecting the top 25 collaborators of Meritxell Riquelme. A scholar is included among the top collaborators of Meritxell Riquelme 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 Meritxell Riquelme. Meritxell Riquelme 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.
Riquelme, Meritxell, et al.. (2025). Growth conditions shape the proteome and diversity of Neurospora crassa extracellular vesicles. PubMed. 14. 100152–100152.
2.
Cadena‐Nava, Rubén D., et al.. (2025). A practical protocol for correlative confocal fluorescence and transmission electron microscopy characterization of extracellular vesicles. Microbiology Spectrum. 13(7). e0302624–e0302624. 1 indexed citations
3.
Vázquez-Duhalt, Rafael, et al.. (2025). Degradation of Extra-Heavy Crude Oil by Fungi Isolated from Hydrothermal Vents Fields in the Gulf of California. Mycobiology. 53(5). 684–695.
4.
Callegari, Eduardo, et al.. (2024). Optimizing fungal extracellular vesicle proteomic profiling through combined analysis of in-solution and in-gel digestion. Fungal Genetics and Biology. 175. 103935–103935. 1 indexed citations
5.
Cadena‐Nava, Rubén D., et al.. (2023). Nanosized extracellular vesicles released by Neurospora crassa hyphae. Fungal Genetics and Biology. 165. 103778–103778. 6 indexed citations
6.
Riquelme, Meritxell, Baojie Wan, Rui Ma, et al.. (2021). Chemical Diversity and Antimicrobial Potential of Cultivable Fungi from Deep-Sea Sediments of the Gulf of Mexico. Molecules. 26(23). 7328–7328. 9 indexed citations
7.
Yanagisawa, Naoki, et al.. (2021). Trade-off between Plasticity and Velocity in Mycelial Growth. mBio. 12(2). 29 indexed citations
8.
Vázquez-Duhalt, Rafael, et al.. (2021). Extra-Heavy Crude Oil Degradation by Alternaria sp. Isolated from Deep-Sea Sediments of the Gulf of Mexico. Applied Sciences. 11(13). 6090–6090. 15 indexed citations
9.
Riquelme, Meritxell, et al.. (2020). Of Mice and Fungi: Coccidioides spp. Distribution Models. Journal of Fungi. 6(4). 320–320. 13 indexed citations
10.
Riquelme, Meritxell, et al.. (2020). The Mycobiota of the Deep Sea: What Omics Can Offer. Life. 10(11). 292–292. 25 indexed citations
11.
Lago‐Lestón, Asunción, et al.. (2019). Targeted ITS1 sequencing unravels the mycodiversity of deep‐sea sediments from the Gulf of Mexico. Environmental Microbiology. 21(11). 4046–4061. 18 indexed citations
12.
Kiss, Enikö, Botond Hegedüs, Máté Virágh, et al.. (2019). Comparative genomics reveals the origin of fungal hyphae and multicellularity. Nature Communications. 10(1). 4080–4080. 68 indexed citations
13.
Amend, Anthony S., Gaëtan Burgaud, Michael Cunliffe, et al.. (2019). Fungi in the Marine Environment: Open Questions and Unsolved Problems. mBio. 10(2). 219 indexed citations
14.
Riquelme, Meritxell, Jesús Aguirre, Salomón Bartnicki-Garcı́a, et al.. (2018). Fungal Morphogenesis, from the Polarized Growth of Hyphae to Complex Reproduction and Infection Structures. Microbiology and Molecular Biology Reviews. 82(2). 243 indexed citations
15.
Villalobos‐Escobedo, José Manuel, et al.. (2018). Danger signals activate a putative innate immune system during regeneration in a filamentous fungus. PLoS Genetics. 14(11). e1007390–e1007390. 24 indexed citations
16.
Gorris, Morgan E., et al.. (2017). Crossing the Line: Human Disease and Climate Change across Borders. Journal of environmental health. 81(8). 14. 3 indexed citations
17.
Riquelme, Meritxell, et al.. (2015). Role of BGT-1 and BGT-2, two predicted GPI-anchored glycoside hydrolases/glycosyltransferases, in cell wall remodeling in Neurospora crassa. Fungal Genetics and Biology. 85. 58–70. 22 indexed citations
18.
Mouriño‐Pérez, Rosa R. & Meritxell Riquelme. (2013). Recent Advances in Septum Biogenesis in Neurospora crassa. Advances in genetics. 83. 99–134. 23 indexed citations
19.
Baptista‐Rosas, Raúl C., et al.. (2010). Bioclimatología de la Coccidioidomicosis en Baja California, México. SHILAP Revista de lepidopterología. 4 indexed citations
20.
Verdín, Jorge, Salomón Bartnicki-Garcı́a, & Meritxell Riquelme. (2009). Functional stratification of the Spitzenkörper of Neurospora crassa. Molecular Microbiology. 74(5). 1044–1053. 89 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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