Carlos Guijas

3.7k total citations · 2 hit papers
36 papers, 2.5k citations indexed

About

Carlos Guijas is a scholar working on Molecular Biology, Biochemistry and Spectroscopy. According to data from OpenAlex, Carlos Guijas has authored 36 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Biochemistry and 7 papers in Spectroscopy. Recurrent topics in Carlos Guijas's work include Metabolomics and Mass Spectrometry Studies (12 papers), Sphingolipid Metabolism and Signaling (8 papers) and Lipid metabolism and biosynthesis (7 papers). Carlos Guijas is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (12 papers), Sphingolipid Metabolism and Signaling (8 papers) and Lipid metabolism and biosynthesis (7 papers). Carlos Guijas collaborates with scholars based in Spain, United States and Argentina. Carlos Guijas's co-authors include Gary Siuzdak, J. Rafael Montenegro-Burke, Benedikt Warth, Mary E. Spilker, Jesús Balsinde, Xavier Domingo-Almenara, Marı́a A. Balboa, H. Paul Benton, Aries Aisporna and Winnie Uritboonthai and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Biotechnology.

In The Last Decade

Carlos Guijas

36 papers receiving 2.5k citations

Hit Papers

2 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

METLIN: A Technology Platform for Identifying Knowns and Unknowns

2018 687 citations Carlos Guijas, J. Rafael Montenegro-Burke et al. profile →
Metabolomics activity screening for identifying metabolites that modulate phenotype

2018 349 citations Carlos Guijas, J. Rafael Montenegro-Burke et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carlos Guijas Spain	25	1.7k	485	306	268	223	36	2.5k
Manish Sud United States	11	2.3k 1.3×	795 1.6×	246 0.8×	257 1.0×	180 0.8×	12	3.1k
Simona G. Codreanu United States	25	2.0k 1.2×	568 1.2×	118 0.4×	252 0.9×	250 1.1×	53	2.9k
Maria Fedorova Germany	32	2.0k 1.2×	630 1.3×	260 0.8×	457 1.7×	143 0.6×	110	3.5k
Chunxiu Hu China	33	1.9k 1.1×	531 1.1×	166 0.5×	356 1.3×	212 1.0×	101	3.2k
Pavel A. Aronov United States	16	2.2k 1.3×	623 1.3×	182 0.6×	450 1.7×	292 1.3×	23	3.3k
Carin Li Canada	6	2.1k 1.2×	239 0.5×	91 0.3×	420 1.6×	210 0.9×	6	3.2k
Laxman Yetukuri Finland	23	2.0k 1.2×	398 0.8×	264 0.9×	817 3.0×	123 0.6×	30	3.1k
Filippos Michopoulos United Kingdom	21	1.4k 0.8×	458 0.9×	78 0.3×	187 0.7×	196 0.9×	33	2.2k
Gert Wohlgemuth United States	21	2.6k 1.5×	641 1.3×	103 0.3×	291 1.1×	412 1.8×	26	3.9k
Brian C. DeFelice United States	16	1.3k 0.8×	368 0.8×	105 0.3×	185 0.7×	129 0.6×	30	1.9k

Countries citing papers authored by Carlos Guijas

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Guijas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Guijas

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Guijas. A scholar is included among the top collaborators of Carlos Guijas 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 Carlos Guijas. Carlos Guijas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Palermo, Amelia, Nathalia Gazaniga, Francisco Martínez‐Peña, et al.. (2023). Hydroxyproline metabolism enhances IFN-γ-induced PD-L1 expression and inhibits autophagic flux. Cell chemical biology. 30(9). 1115–1134.e10. 5 indexed citations

Guijas, Carlos, Andrew To, J. Rafael Montenegro-Burke, et al.. (2022). Drug-Initiated Activity Metabolomics Identifies Myristoylglycine as a Potent Endogenous Metabolite for Human Brown Fat Differentiation. Metabolites. 12(8). 749–749. 3 indexed citations

Montenegro-Burke, J. Rafael, Bernard P. Kok, Carlos Guijas, et al.. (2021). Metabolomics activity screening of T cell–induced colitis reveals anti-inflammatory metabolites. Science Signaling. 14(702). eabf6584–eabf6584. 27 indexed citations

Majumder, Erica L.‐W., Elizabeth Billings, H. Paul Benton, et al.. (2021). Cognitive analysis of metabolomics data for systems biology. Nature Protocols. 16(3). 1376–1418. 13 indexed citations

Astudillo, Alma M., Juan Pablo Rodríguez, Carlos Guijas, et al.. (2021). Choline Glycerophospholipid-Derived Prostaglandins Attenuate TNFα Gene Expression in Macrophages via a cPLA2α/COX-1 Pathway. Cells. 10(2). 447–447. 8 indexed citations

May, María, Natalia Gómez, Agustín Yaneff, et al.. (2020). Multidrug resistance protein 4 (MRP4/ABCC4) is overexpressed in clear cell renal cell carcinoma (ccRCC) and is essential to regulate cell proliferation. International Journal of Biological Macromolecules. 161. 836–847. 20 indexed citations

Montenegro-Burke, J. Rafael, Carlos Guijas, & Gary Siuzdak. (2020). METLIN: A Tandem Mass Spectral Library of Standards. Methods in molecular biology. 2104. 149–163. 82 indexed citations

Rinschen, Markus M., Oleg Palygin, Carlos Guijas, et al.. (2019). Metabolic rewiring of the hypertensive kidney. Science Signaling. 12(611). 52 indexed citations

Johnson, Christopher W., J. Rafael Montenegro-Burke, Carlos Guijas, et al.. (2019). Activation of Kappa Opioid Receptor Regulates the Hypothermic Response to Calorie Restriction and Limits Body Weight Loss. Current Biology. 29(24). 4291–4299.e4. 24 indexed citations

10.

Guijas, Carlos, Clara Meana, Alma M. Astudillo, et al.. (2019). Neutral Lipids Are Not a Source of Arachidonic Acid for Lipid Mediator Signaling in Human Foamy Monocytes. Cells. 8(8). 941–941. 15 indexed citations

11.

Guijas, Carlos, J. Rafael Montenegro-Burke, Benedikt Warth, Mary E. Spilker, & Gary Siuzdak. (2018). Metabolomics activity screening for identifying metabolites that modulate phenotype. Nature Biotechnology. 36(4). 316–320. 349 indexed citations breakdown →

12.

Domingo-Almenara, Xavier, J. Rafael Montenegro-Burke, Julijana Ivanišević, et al.. (2018). XCMS-MRM and METLIN-MRM: a cloud library and public resource for targeted analysis of small molecules. Nature Methods. 15(9). 681–684. 93 indexed citations

13.

Sorgi, Carlos A., Simona Zarini, Sarah A. Martin, et al.. (2017). Dormant 5-lipoxygenase in inflammatory macrophages is triggered by exogenous arachidonic acid. Scientific Reports. 7(1). 10981–10981. 34 indexed citations

14.

Astudillo, Alma M., Clara Meana, Carlos Guijas, et al.. (2017). Occurrence and biological activity of palmitoleic acid isomers in phagocytic cells. Journal of Lipid Research. 59(2). 237–249. 62 indexed citations

15.

Guijas, Carlos, Clara Meana, Alma M. Astudillo, Marı́a A. Balboa, & Jesús Balsinde. (2016). Foamy Monocytes Are Enriched in cis -7-Hexadecenoic Fatty Acid (16:1n-9), a Possible Biomarker for Early Detection of Cardiovascular Disease. Cell chemical biology. 23(6). 689–699. 68 indexed citations

16.

Pardo, Virginia, Águeda González‐Rodríguez, Carlos Guijas, Jesús Balsinde, & Ángela M. Valverde. (2015). Opposite Cross-Talk by Oleate and Palmitate on Insulin Signaling in Hepatocytes through Macrophage Activation. Journal of Biological Chemistry. 290(18). 11663–11677. 51 indexed citations

17.

Gil‐de‐Gómez, Luis, Alma M. Astudillo, Clara Meana, et al.. (2013). A Phosphatidylinositol Species Acutely Generated by Activated Macrophages Regulates Innate Immune Responses. The Journal of Immunology. 190(10). 5169–5177. 32 indexed citations

18.

Guijas, Carlos, Gema Pérez-Chacón, Alma M. Astudillo, et al.. (2012). Simultaneous activation of p38 and JNK by arachidonic acid stimulates the cytosolic phospholipase A2-dependent synthesis of lipid droplets in human monocytes. Journal of Lipid Research. 53(11). 2343–2354. 74 indexed citations

19.

Guijas, Carlos, Alma M. Astudillo, Luis Gil‐de‐Gómez, et al.. (2012). Phospholipid sources for adrenic acid mobilization in RAW 264.7 macrophages. Comparison with arachidonic acid. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1821(11). 1386–1393. 24 indexed citations

20.

Astudillo, Alma M., Gema Pérez-Chacón, David Balgoma, et al.. (2010). Influence of cellular arachidonic acid levels on phospholipid remodeling and CoA-independent transacylase activity in human monocytes and U937 cells. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1811(2). 97–103. 39 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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