Julián Ávila-Pacheco

13.3k total citations · 3 hit papers
49 papers, 2.9k citations indexed

About

Julián Ávila-Pacheco is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Julián Ávila-Pacheco has authored 49 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 12 papers in Plant Science and 8 papers in Epidemiology. Recurrent topics in Julián Ávila-Pacheco's work include Metabolomics and Mass Spectrometry Studies (14 papers), Plant-Microbe Interactions and Immunity (9 papers) and Gut microbiota and health (8 papers). Julián Ávila-Pacheco is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (14 papers), Plant-Microbe Interactions and Immunity (9 papers) and Gut microbiota and health (8 papers). Julián Ávila-Pacheco collaborates with scholars based in United States, Germany and China. Julián Ávila-Pacheco's co-authors include Clary B. Clish, Timothy P. Devarenne, Cheng Cheng, Ping He, Antje Heese, Shu-Jing Wu, Dongping Lu, Xiquan Gao, Libo Shan and Aleksandar D. Kostic and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Julián Ávila-Pacheco

45 papers receiving 2.8k citations

Hit Papers

Meta-omics analysis of elite athletes i... 2011 2026 2016 2021 2019 2011 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julián Ávila-Pacheco United States 24 1.8k 888 537 239 238 49 2.9k
Jörg Hofmann Germany 28 1.7k 1.0× 1.1k 1.2× 313 0.6× 253 1.1× 171 0.7× 60 3.0k
Shengli Ding United States 22 1.4k 0.8× 771 0.9× 465 0.9× 236 1.0× 424 1.8× 65 2.5k
Dong-Hyun Kim South Korea 34 1.3k 0.8× 297 0.3× 384 0.7× 424 1.8× 227 1.0× 145 3.1k
Xiu-Min Li United States 37 1.8k 1.0× 404 0.5× 893 1.7× 579 2.4× 535 2.2× 140 5.1k
Wenyi Wang China 27 1.4k 0.8× 484 0.5× 196 0.4× 332 1.4× 90 0.4× 83 2.7k
Huiling Zhu China 32 1.2k 0.7× 261 0.3× 489 0.9× 498 2.1× 142 0.6× 97 3.0k
Xihong Zhou China 34 1.3k 0.8× 217 0.2× 556 1.0× 246 1.0× 169 0.7× 101 2.9k
Chien‐An Andy Hu United States 32 1.5k 0.9× 255 0.3× 458 0.9× 354 1.5× 203 0.9× 68 3.3k
Yun Ji China 31 1.4k 0.8× 204 0.2× 654 1.2× 237 1.0× 180 0.8× 93 3.0k
Lilly Ganju India 29 865 0.5× 345 0.4× 273 0.5× 254 1.1× 94 0.4× 117 2.5k

Countries citing papers authored by Julián Ávila-Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Julián Ávila-Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julián Ávila-Pacheco. 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 Julián Ávila-Pacheco. The network helps show where Julián Ávila-Pacheco may publish in the future.

Co-authorship network of co-authors of Julián Ávila-Pacheco

This figure shows the co-authorship network connecting the top 25 collaborators of Julián Ávila-Pacheco. A scholar is included among the top collaborators of Julián Ávila-Pacheco 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 Julián Ávila-Pacheco. Julián Ávila-Pacheco 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.
Hitchcock, Daniel S., et al.. (2025). Eclipse : a Python package for alignment of two or more nontargeted LC-MS metabolomics datasets. Bioinformatics. 41(6). 1 indexed citations
2.
Maes, Michal, Julián Ávila-Pacheco, Jan Sklenář, et al.. (2025). Preventing inappropriate signals pre- and post-ligand perception by a toggle switch mechanism of ERECTA. Proceedings of the National Academy of Sciences. 122(4). e2420196122–e2420196122. 2 indexed citations
3.
Zhu, Yiwen, Tianyi Huang, Raji Balasubramanian, et al.. (2025). Persistent PTSD symptoms are associated with plasma metabolic alterations relevant to long-term health: A metabolome-wide investigation in women. Psychological Medicine. 55. e30–e30.
4.
Muñoz, Vítor Rosetto, F. Moreau, Marion Soto, et al.. (2025). Portal vein-enriched metabolites as intermediate regulators of the gut microbiome in insulin resistance. Cell Metabolism. 37(10). 2048–2065.e6. 1 indexed citations
5.
Bhosle, Amrisha, Sena Bae, Yancong Zhang, et al.. (2024). Integrated annotation prioritizes metabolites with bioactivity in inflammatory bowel disease. Molecular Systems Biology. 20(4). 338–361. 3 indexed citations
6.
Mehta, Raaj S., Jared R. Mayers, Yancong Zhang, et al.. (2023). Gut microbial metabolism of 5-ASA diminishes its clinical efficacy in inflammatory bowel disease. Nature Medicine. 29(3). 700–709. 95 indexed citations breakdown →
7.
Fanning, Saranna, Jooyoung Jeong, Joon Yoon, et al.. (2022). Lipase regulation of cellular fatty acid homeostasis as a Parkinson’s disease therapeutic strategy. npj Parkinson s Disease. 8(1). 74–74. 13 indexed citations
8.
Rojas‐Tapias, Daniel F., Eric Brown, Ahmed M. Mohamed, et al.. (2022). Inflammation-associated nitrate facilitates ectopic colonization of oral bacterium Veillonella parvula in the intestine. Nature Microbiology. 7(10). 1673–1685. 87 indexed citations
9.
Cubillos-Ruiz, Andrés, et al.. (2022). An engineered live biotherapeutic for the prevention of antibiotic-induced dysbiosis. Nature Biomedical Engineering. 6(7). 910–921. 66 indexed citations
10.
Yao, Lina, Gabriel D. D’Agostino, Jinseok Park, et al.. (2022). A biosynthetic pathway for the selective sulfonation of steroidal metabolites by human gut bacteria. Nature Microbiology. 7(9). 1404–1418. 54 indexed citations
11.
Zeleznik, Oana A., Raji Balasubramanian, Deirdre K. Tobias, et al.. (2021). Branched-Chain Amino Acids and Risk of Breast Cancer. JNCI Cancer Spectrum. 5(5). 21 indexed citations
12.
Sidhom, Eriene-Heidi, Choah Kim, Maria Kost‐Alimova, et al.. (2021). Targeting a Braf/Mapk pathway rescues podocyte lipid peroxidation in CoQ-deficiency kidney disease. Journal of Clinical Investigation. 131(5). 30 indexed citations
13.
Crevel, Reinout van, Julián Ávila-Pacheco, Nguyễn Thụy Thương Thương, et al.. (2021). Improving host-directed therapy for tuberculous meningitis by linking clinical and multi-omics data. Tuberculosis. 128. 102085–102085. 6 indexed citations
14.
Zeleznik, Oana A., A. Heather Eliassen, Peter Kraft, et al.. (2020). A Prospective Analysis of Circulating Plasma Metabolites Associated with Ovarian Cancer Risk. Cancer Research. 80(6). 1357–1367. 63 indexed citations
15.
Fornelos, Nadine, Eric A. Franzosa, Jason Bishai, et al.. (2020). Growth effects of N-acylethanolamines on gut bacteria reflect altered bacterial abundances in inflammatory bowel disease. Nature Microbiology. 5(3). 486–497. 74 indexed citations
16.
Zeleznik, Oana A., Clary B. Clish, Peter Kraft, et al.. (2019). Circulating Lysophosphatidylcholines, Phosphatidylcholines, Ceramides, and Sphingomyelins and Ovarian Cancer Risk: A 23-Year Prospective Study. JNCI Journal of the National Cancer Institute. 112(6). 628–636. 39 indexed citations
17.
Pirhaji, Leila, Pamela Milani, Timothy G. Curran, et al.. (2016). Revealing disease-associated pathways by network integration of untargeted metabolomics. Nature Methods. 13(9). 770–776. 123 indexed citations
18.
Lee, Jin‐Suk, Marketa Hnilova, Michal Maes, et al.. (2015). Competitive binding of antagonistic peptides fine-tunes stomatal patterning. Nature. 522(7557). 439–443. 228 indexed citations
19.
Ek‐Ramos, María Julissa, et al.. (2014). The Tomato Cell Death Suppressor Adi3 Is Restricted to the Endosomal System in Response to the Pseudomonas syringae Effector Protein AvrPto. PLoS ONE. 9(10). e110807–e110807. 8 indexed citations
20.
Ávila-Pacheco, Julián, Sixue Chen, Cecilia Silva-Sánchez, et al.. (2012). The β-Subunit of the SnRK1 Complex Is Phosphorylated by the Plant Cell Death Suppressor Adi3   . PLANT PHYSIOLOGY. 159(3). 1277–1290. 33 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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