Federico Lopez‐Moya

1.3k total citations
33 papers, 835 citations indexed

About

Federico Lopez‐Moya is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Federico Lopez‐Moya has authored 33 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 16 papers in Molecular Biology and 10 papers in Insect Science. Recurrent topics in Federico Lopez‐Moya's work include Nematode management and characterization studies (20 papers), Studies on Chitinases and Chitosanases (13 papers) and Entomopathogenic Microorganisms in Pest Control (9 papers). Federico Lopez‐Moya is often cited by papers focused on Nematode management and characterization studies (20 papers), Studies on Chitinases and Chitosanases (13 papers) and Entomopathogenic Microorganisms in Pest Control (9 papers). Federico Lopez‐Moya collaborates with scholars based in Spain, United Kingdom and Italy. Federico Lopez‐Moya's co-authors include Luis V. Lopez‐Llorca, Marta Suarez‐Fernandez, Nuria Escudero, Ernesto A. Zavala‐González, María José Nueda, Frutos C. Marhuenda‐Egea, David Alabadı́, Miguel Á. Blázquez, Francisca Cabrera‐Escribano and Marino B. Arnao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and New Phytologist.

In The Last Decade

Federico Lopez‐Moya

29 papers receiving 824 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 Lopez‐Moya Spain 14 595 248 210 135 130 33 835
L. Landi Italy 18 1.1k 1.8× 213 0.9× 380 1.8× 295 2.2× 96 0.7× 56 1.2k
Lihui Wei China 15 574 1.0× 40 0.2× 151 0.7× 97 0.7× 77 0.6× 52 770
Gloria Carrión Mexico 14 394 0.7× 56 0.2× 81 0.4× 113 0.8× 139 1.1× 54 697
P. Chowdappa India 16 739 1.2× 53 0.2× 191 0.9× 319 2.4× 51 0.4× 56 997
Gabriel Rincón‐Enríquez Mexico 10 446 0.7× 43 0.2× 114 0.5× 221 1.6× 36 0.3× 61 632
H.‐B. Jansson Spain 8 478 0.8× 114 0.5× 124 0.6× 134 1.0× 227 1.7× 8 639
Seung‐Yeol Lee South Korea 19 805 1.4× 70 0.3× 459 2.2× 336 2.5× 49 0.4× 133 1.3k
Mui‐Yun Wong Malaysia 16 587 1.0× 52 0.2× 171 0.8× 273 2.0× 25 0.2× 77 782
K. E. Damann United States 19 891 1.5× 43 0.2× 262 1.2× 232 1.7× 42 0.3× 39 1.0k
Laixin Luo China 19 573 1.0× 21 0.1× 252 1.2× 139 1.0× 44 0.3× 60 848

Countries citing papers authored by Federico Lopez‐Moya

Since Specialization
Citations

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

Fields of papers citing papers by Federico Lopez‐Moya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Lopez‐Moya

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Lopez‐Moya. A scholar is included among the top collaborators of Federico Lopez‐Moya 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 Lopez‐Moya. Federico Lopez‐Moya 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
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Lopez‐Moya, Federico, et al.. (2025). Chitin and chitosan quantification in fungal cell wall via Raman spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 334. 125928–125928. 4 indexed citations
3.
4.
Lopez‐Moya, Federico, et al.. (2024). Modulation of the Host Defence System by Nematophagous Fungi and Chitosan. SHILAP Revista de lepidopterología. 4(1). 379–394. 2 indexed citations
5.
Garganese, Francesca, et al.. (2023). Brindley’s Glands Volatilome of the Predator Zelus renardii Interacting with Xylella Vectors. Insects. 14(6). 520–520. 1 indexed citations
6.
Mestre‐Tomás, Jorge, et al.. (2023). Chitosan Modulates Volatile Organic Compound Emission from the Biocontrol Fungus Pochonia chlamydosporia. Molecules. 28(10). 4053–4053. 3 indexed citations
7.
8.
Suarez‐Fernandez, Marta, et al.. (2022). Chitosan and nematophagous fungi for sustainable management of nematode pests. SHILAP Revista de lepidopterología. 3. 980341–980341. 4 indexed citations
9.
Casalduero, Francisca Giménez, et al.. (2022). Detection of Haplosporidium pinnae from Pinna nobilis Faeces. Journal of Marine Science and Engineering. 10(2). 276–276. 5 indexed citations
10.
Lopez‐Moya, Federico, Magdalena Martín-Urdiroz, Míriam Osés-Ruiz, et al.. (2021). Chitosan inhibits septin‐mediated plant infection by the rice blast fungus Magnaporthe oryzae in a protein kinase C and Nox1 NADPH oxidase‐dependent manner. New Phytologist. 230(4). 1578–1593. 31 indexed citations
11.
Suarez‐Fernandez, Marta, Christine Sambles, Federico Lopez‐Moya, et al.. (2021). Chitosan modulates Pochonia chlamydosporia gene expression during nematode egg parasitism. Environmental Microbiology. 23(9). 4980–4997. 12 indexed citations
12.
Lopez‐Moya, Federico, et al.. (2020). Volatile Organic Compounds from Entomopathogenic and Nematophagous Fungi, Repel Banana Black Weevil (Cosmopolites sordidus). Insects. 11(8). 509–509. 43 indexed citations
13.
Suarez‐Fernandez, Marta, Frutos C. Marhuenda‐Egea, Federico Lopez‐Moya, et al.. (2020). Chitosan Induces Plant Hormones and Defenses in Tomato Root Exudates. Frontiers in Plant Science. 11. 572087–572087. 77 indexed citations
14.
Lin, Runmao, Qianqian Shi, Xi Zhang, et al.. (2018). Genome and secretome analysis of Pochonia chlamydosporia provide new insight into egg-parasitic mechanisms. Scientific Reports. 8(1). 1123–1123. 22 indexed citations
15.
Lopez‐Moya, Federico, Nuria Escudero, Ernesto A. Zavala‐González, et al.. (2017). Induction of auxin biosynthesis and WOX5 repression mediate changes in root development in Arabidopsis exposed to chitosan. Scientific Reports. 7(1). 16813–16813. 72 indexed citations
16.
Escudero, Nuria, Federico Lopez‐Moya, Zahra Ghahremani, et al.. (2017). Chitosan Increases Tomato Root Colonization by Pochonia chlamydosporia and Their Combination Reduces Root-Knot Nematode Damage. Frontiers in Plant Science. 8. 1415–1415. 60 indexed citations
17.
Lopez‐Moya, Federico, et al.. (2016). Cell wall composition plays a key role on sensitivity of filamentous fungi to chitosan. Journal of Basic Microbiology. 56(10). 1059–1070. 29 indexed citations
18.
Escudero, Nuria, et al.. (2016). Chitosan enhances parasitism of Meloidogyne javanica eggs by the nematophagous fungus Pochonia chlamydosporia. Fungal Biology. 120(4). 572–585. 37 indexed citations
19.
Lopez‐Moya, Federico, David Kowbel, María José Nueda, et al.. (2015). Neurospora crassa transcriptomics reveals oxidative stress and plasma membrane homeostasis biology genes as key targets in response to chitosan. Molecular BioSystems. 12(2). 391–403. 33 indexed citations
20.
Lopez‐Moya, Federico, et al.. (2014). Carbon and nitrogen limitation increase chitosan antifungal activity in Neurospora crassa and fungal human pathogens. Fungal Biology. 119(2-3). 154–169. 42 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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