Carmen G. Lechuga

1.1k total citations
26 papers, 698 citations indexed

About

Carmen G. Lechuga is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Carmen G. Lechuga has authored 26 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Cell Biology. Recurrent topics in Carmen G. Lechuga's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Liver physiology and pathology (4 papers) and Pancreatic function and diabetes (4 papers). Carmen G. Lechuga is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Liver physiology and pathology (4 papers) and Pancreatic function and diabetes (4 papers). Carmen G. Lechuga collaborates with scholars based in Spain, United States and Mexico. Carmen G. Lechuga's co-authors include Mariano Barbacid, Matthias Drosten, Eleanor Y. M. Sum, Carmen Guerra, Jelena Urosevic, Esther Castellano, Luis Miguel Pedrero Esteban, Eugenio Santos, Marcos Rojkind and Z. Nazará and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Molecular Cell.

In The Last Decade

Carmen G. Lechuga

24 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmen G. Lechuga Spain 13 474 161 112 109 86 26 698
Cheng-Chung Wu Taiwan 14 259 0.5× 146 0.9× 155 1.4× 85 0.8× 140 1.6× 18 641
Laura Antonucci Italy 14 446 0.9× 209 1.3× 66 0.6× 60 0.6× 118 1.4× 21 746
Petra Koudelková Austria 5 368 0.8× 191 1.2× 121 1.1× 70 0.6× 57 0.7× 6 593
Xuening Ji China 9 347 0.7× 199 1.2× 104 0.9× 49 0.4× 46 0.5× 16 618
Zhao-na Yang China 8 255 0.5× 85 0.5× 47 0.4× 87 0.8× 98 1.1× 8 460
Yung-Sheng Chang Taiwan 9 383 0.8× 111 0.7× 58 0.5× 172 1.6× 144 1.7× 10 673
Sandrine Prost United Kingdom 16 458 1.0× 312 1.9× 125 1.1× 49 0.4× 71 0.8× 25 816
Bahar Salimian Rizi United States 5 185 0.4× 75 0.5× 118 1.1× 89 0.8× 131 1.5× 6 486
Alexander Nguyen United States 10 424 0.9× 196 1.2× 63 0.6× 62 0.6× 79 0.9× 19 748
Anna-Karin Sjögren Sweden 17 541 1.1× 124 0.8× 71 0.6× 63 0.6× 19 0.2× 26 865

Countries citing papers authored by Carmen G. Lechuga

Since Specialization
Citations

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

Fields of papers citing papers by Carmen G. Lechuga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen G. Lechuga

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen G. Lechuga. A scholar is included among the top collaborators of Carmen G. Lechuga 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 Carmen G. Lechuga. Carmen G. Lechuga 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.
2.
3.
Hilario, Amaya, Elena Salvador Álvarez, Carlos Cárdenas, et al.. (2024). Low rCBV values in glioblastoma tumor progression under chemoradiotherapy. Neuroradiology. 66(3). 317–323.
4.
Fernández‐Rodríguez, Ana, Coral Fustero‐Torre, Elena Piñeiro-Yáñez, et al.. (2024). Type I interferon signaling pathway enhances immune-checkpoint inhibition in KRAS mutant lung tumors. Proceedings of the National Academy of Sciences. 121(36). e2402913121–e2402913121. 9 indexed citations
5.
6.
Jacob, Harrys K.C., Sara García‐Alonso, Carmen G. Lechuga, et al.. (2022). KSR induces RAS‐independent MAPK pathway activation and modulates the efficacy of KRAS inhibitors. Molecular Oncology. 16(17). 3066–3081. 22 indexed citations
7.
García‐Alonso, Sara, Pablo Mesa, Carmen G. Lechuga, et al.. (2022). Structure of the RAF1-HSP90-CDC37 complex reveals the basis of RAF1 regulation. Molecular Cell. 82(18). 3438–3452.e8. 33 indexed citations
8.
Lechuga, Carmen G., Eduardo Zarzuela, Ruth Álvarez, et al.. (2021). KRAS4A induces metastatic lung adenocarcinomas in vivo in the absence of the KRAS4B isoform. Proceedings of the National Academy of Sciences. 118(30). 12 indexed citations
9.
Ortiz‐López, María Guadalupe, Julio Granados, Samuel Canizales‐Quinteros, et al.. (2017). Susceptibility background for type 2 diabetes in eleven Mexican Indigenous populations: HNF4A gene analysis. Molecular Genetics and Genomics. 292(6). 1209–1219. 10 indexed citations
10.
Drosten, Matthias, Lucía Simón-Carrasco, Isabel Hernández-Porras, et al.. (2016). H-Ras and K-Ras Oncoproteins Induce Different Tumor Spectra When Driven by the Same Regulatory Sequences. Cancer Research. 77(3). 707–718. 19 indexed citations
11.
Blank, Arthur E., et al.. (2014). Do Primary Care Patient Experiences Vary by Teaching versus Nonteaching Facility?. The Journal of the American Board of Family Medicine. 27(2). 239–248. 16 indexed citations
12.
Drosten, Matthias, Carmen G. Lechuga, & Mariano Barbacid. (2013). Genetic analysis of Ras genes in epidermal development and tumorigenesis. Small GTPases. 4(4). 236–241. 9 indexed citations
13.
Kastanis, George, Z. Nazará, Natalia Nieto, et al.. (2011). The role of dystroglycan in PDGF-BB-dependent migration of activated hepatic stellate cells/myofibroblasts. American Journal of Physiology-Gastrointestinal and Liver Physiology. 301(3). G464–G474. 16 indexed citations
14.
Drosten, Matthias, Eleanor Y. M. Sum, Jelena Urosevic, et al.. (2010). Genetic analysis of Ras signalling pathways in cell proliferation, migration and survival. The EMBO Journal. 29(6). 1091–1104. 243 indexed citations
15.
Lechuga, Carmen G., et al.. (2006). PI3K is involved in PDGF-β receptor upregulation post-PDGF-BB treatment in mouse HSC. American Journal of Physiology-Gastrointestinal and Liver Physiology. 291(6). G1051–G1061. 36 indexed citations
16.
Lechuga, Carmen G., et al.. (2004). TGF-β1 modulates matrix metalloproteinase-13 expression in hepatic stellate cells by complex mechanisms involving p38MAPK, PI3-kinase, AKT, and p70S6k. American Journal of Physiology-Gastrointestinal and Liver Physiology. 287(5). G974–G987. 48 indexed citations
17.
Jiménez, Juan S., et al.. (1995). Casein kinase 2 inactivation by Mg2+, Mn2+ and Co2+ ions. Molecular and Cellular Biochemistry. 152(1). 1–6. 5 indexed citations
18.
Sánchez‐Arias, Juan A., et al.. (1994). Decreased responsiveness of basal gluconeogenesis to insulin action in hepatocytes isolated from genetically obese (fa/fa) Zucker rats.. Endocrinology. 134(4). 1868–1873. 12 indexed citations
19.
Moreno, F., Carmen G. Lechuga, Manuel Collado, María José Benítez, & Juan S. Jiménez. (1993). A polylysine-induced aggregation of substrate accompanies the stimulation of casein kinase II by polylysine. Biochemical Journal. 289(3). 631–635. 15 indexed citations
20.
Lechuga, Carmen G., et al.. (1992). Dipyridamole stimulates types II cAMP-dependent protein kinase in vitro. Molecular and Cellular Biochemistry. 109(1). 9–15. 3 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

Breakdown of academic impact, for papers by Cheng-Chung Wu Breakdown of academic impact, for papers by Laura Antonucci Breakdown of academic impact, for papers by Petra Koudelková Breakdown of academic impact, for papers by Xuening Ji Breakdown of academic impact, for papers by Zhao-na Yang Breakdown of academic impact, for papers by Yung-Sheng Chang Breakdown of academic impact, for papers by Sandrine Prost Breakdown of academic impact, for papers by Bahar Salimian Rizi Breakdown of academic impact, for papers by Alexander Nguyen Breakdown of academic impact, for papers by Anna-Karin Sjögren
Rankless by CCL
2026