M. Carmen Limón

4.2k total citations · 2 hit papers
43 papers, 3.0k citations indexed

About

M. Carmen Limón is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, M. Carmen Limón has authored 43 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Plant Science and 11 papers in Pharmacology. Recurrent topics in M. Carmen Limón's work include Photosynthetic Processes and Mechanisms (12 papers), Plant biochemistry and biosynthesis (10 papers) and Antioxidant Activity and Oxidative Stress (9 papers). M. Carmen Limón is often cited by papers focused on Photosynthetic Processes and Mechanisms (12 papers), Plant biochemistry and biosynthesis (10 papers) and Antioxidant Activity and Oxidative Stress (9 papers). M. Carmen Limón collaborates with scholars based in Spain, Germany and United States. M. Carmen Limón's co-authors include Javier Ávalos, Tahı́a Benı́tez, Ana María Rincón, Antonio C. Codón, Marı́a J. Rodrigo, Lourdes Gómez‐Gómez, Dámaso Hornero‐Méndez, Roberto Rodríguez-Ortiz, José A. Pintor‐Toro and Lorenzo Zacarı́as and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

M. Carmen Limón

40 papers receiving 2.9k citations

Hit Papers

Biocontrol mechanisms of Trichoderma strains. 2004 2026 2011 2018 2004 2018 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Carmen Limón Spain 20 1.6k 1.3k 642 527 397 43 3.0k
Jae‐Yean Kim South Korea 44 4.0k 2.6× 3.5k 2.7× 245 0.4× 171 0.3× 264 0.7× 124 5.9k
Ana‐Rosa Ballester Spain 30 2.4k 1.5× 1.2k 0.9× 456 0.7× 729 1.4× 158 0.4× 56 3.2k
Li Tian United States 40 2.6k 1.7× 2.9k 2.2× 1.2k 1.8× 102 0.2× 271 0.7× 123 5.5k
Jacob Pollier Belgium 35 1.4k 0.9× 3.3k 2.5× 219 0.3× 103 0.2× 550 1.4× 61 4.2k
Giovanni Mita Italy 41 2.2k 1.4× 1.1k 0.8× 938 1.5× 199 0.4× 177 0.4× 116 4.4k
Eitan Harel Israel 19 1.1k 0.7× 743 0.6× 358 0.6× 257 0.5× 160 0.4× 27 1.9k
Marielle Adrian France 31 2.6k 1.7× 1.2k 0.9× 353 0.5× 768 1.5× 203 0.5× 78 4.0k
Björn Hamberger United States 36 1.3k 0.8× 3.5k 2.7× 194 0.3× 76 0.1× 896 2.3× 68 4.3k
William H. Flurkey United States 26 1.2k 0.8× 976 0.7× 556 0.9× 798 1.5× 218 0.5× 72 2.6k
Yiji Xia Hong Kong 38 4.8k 3.1× 4.1k 3.1× 345 0.5× 286 0.5× 87 0.2× 82 6.6k

Countries citing papers authored by M. Carmen Limón

Since Specialization
Citations

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

Fields of papers citing papers by M. Carmen Limón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Carmen Limón. 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 M. Carmen Limón. The network helps show where M. Carmen Limón may publish in the future.

Co-authorship network of co-authors of M. Carmen Limón

This figure shows the co-authorship network connecting the top 25 collaborators of M. Carmen Limón. A scholar is included among the top collaborators of M. Carmen Limón 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 M. Carmen Limón. M. Carmen Limón 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.
Bogart, Kathleen R., et al.. (2025). “I would love to talk to someone that actually understands”: Psychosocial experiences of adults with Fanconi anemia. Journal of Health Psychology. 31(4). 1547–1561.
2.
Wiemann, Philipp, et al.. (2025). Phenotypic analyses of ΔwcoA and ΔwcoB mutants in Fusarium fujikuroi reveal dark and light-dependent functions as a white-collar complex. Fungal Genetics and Biology. 179. 104004–104004. 1 indexed citations
3.
Bogart, Kathleen R., et al.. (2025). Mental health in the first generation of adults with Fanconi anemia. Psychology Health & Medicine. 31(1). 125–139. 1 indexed citations
5.
Feldmann, Ingo, et al.. (2023). HmbC, a Protein of the HMG Family, Participates in the Regulation of Carotenoid Biosynthesis in Fusarium fujikuroi. Genes. 14(8). 1661–1661. 3 indexed citations
6.
Hornero‐Méndez, Dámaso, Sepalika Bandara, M. Carmen Limón, et al.. (2023). Bioavailability and provitamin A activity of neurosporaxanthin in mice. Communications Biology. 6(1). 1068–1068. 6 indexed citations
7.
Ávalos, Javier, et al.. (2022). Relation between CarS expression and activation of carotenogenesis by stress in Fusarium fujikuroi. Frontiers in Bioengineering and Biotechnology. 10. 1000129–1000129. 4 indexed citations
8.
Gutiérrez, Gabriel, et al.. (2021). Impact of the White Collar Photoreceptor WcoA on the Fusarium fujikuroi Transcriptome. Frontiers in Microbiology. 11. 619474–619474. 12 indexed citations
10.
Gutiérrez, Gabriel, et al.. (2020). A novel lncRNA as a positive regulator of carotenoid biosynthesis in Fusarium. Scientific Reports. 10(1). 678–678. 9 indexed citations
11.
Romero–Campero, Francisco J., et al.. (2019). Comparative transcriptomic analysis unveils interactions between the regulatory CarS protein and light response in Fusarium. BMC Genomics. 20(1). 67–67. 17 indexed citations
12.
Kidibule, Peter Elias, Paloma Santos‐Moriano, M. Ramirez-Escudero, et al.. (2018). Use of chitin and chitosan to produce new chitooligosaccharides by chitinase Chit42: enzymatic activity and structural basis of protein specificity. Microbial Cell Factories. 17(1). 47–47. 64 indexed citations
13.
Javan‐Nikkhah, M., et al.. (2018). Enhancement of Xylanase Production by Protoplast Fusion of Trichoderma spp.. 5(2). 53–61. 1 indexed citations
14.
Luque, Eva M., et al.. (2017). Transcriptional basis of enhanced photoinduction of carotenoid biosynthesis at low temperature in the fungus Neurospora crassa. Research in Microbiology. 169(2). 78–89. 24 indexed citations
15.
Limón, M. Carmen, et al.. (2015). A RALDH-like enzyme involved in Fusarium verticillioides development. Fungal Genetics and Biology. 86. 20–32. 7 indexed citations
16.
Rodríguez-Ortiz, Roberto, M. Carmen Limón, & Javier Ávalos. (2013). Functional analysis of the carS gene of Fusarium fujikuroi. Molecular Genetics and Genomics. 288(3-4). 157–173. 17 indexed citations
17.
Limón, M. Carmen, Tiina Pakula, Markku Saloheimo, & Merja Penttilä. (2011). The effects of disruption of phosphoglucose isomerase gene on carbon utilisation and cellulase production in Trichoderma reesei Rut-C30. Microbial Cell Factories. 10(1). 40–40. 14 indexed citations
18.
Brefort, Thomas, M. Carmen Limón, Alejandro F. Estrada, et al.. (2010). Cleavage of resveratrol in fungi: Characterization of the enzyme Rco1 from Ustilago maydis. Fungal Genetics and Biology. 48(2). 132–143. 28 indexed citations
19.
Limón, M. Carmen, Rebeca Mejı́as, Robert L. Mach, et al.. (2001). Regulation of chitinase 33 (chit33) gene expression in Trichoderma harzianum. Current Genetics. 38(6). 335–342. 82 indexed citations
20.
Limón, M. Carmen, José M. Lora, Irene García, et al.. (1995). Primary structure and expression pattern of the 33-kDa chitinase gene from the mycoparasitic fungus Trichoderma harzianum. Current Genetics. 28(5). 478–483. 74 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026