Gonçalo Vale

2.4k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

Gonçalo Vale is a scholar working on Molecular Biology, Biochemistry and Surgery. According to data from OpenAlex, Gonçalo Vale has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Biochemistry and 6 papers in Surgery. Recurrent topics in Gonçalo Vale's work include Lipid metabolism and biosynthesis (8 papers), Adipose Tissue and Metabolism (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). Gonçalo Vale is often cited by papers focused on Lipid metabolism and biosynthesis (8 papers), Adipose Tissue and Metabolism (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). Gonçalo Vale collaborates with scholars based in United States, Portugal and China. Gonçalo Vale's co-authors include Jeffrey G. McDonald, Giovanni Libralato, José Luís Capelo, Rute F. Domingos, Stéphane Jomini, Kahina Mehennaoui, Sébastien Cambier, Hugo M. Santos, Mário Diniz and Giusy Lofrano and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Gonçalo Vale

41 papers receiving 1.2k citations

Hit Papers

DGAT2 inhibition blocks SREBP-1 cleavage and improves hep... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gonçalo Vale United States 21 437 263 184 139 111 43 1.2k
Laurence Huc France 15 852 1.9× 82 0.3× 203 1.1× 67 0.5× 120 1.1× 26 1.6k
David Potěšil Czechia 30 1.3k 2.9× 113 0.4× 183 1.0× 260 1.9× 86 0.8× 107 2.5k
Tracy Nevitt Portugal 8 610 1.4× 180 0.7× 390 2.1× 207 1.5× 95 0.9× 8 1.7k
Amanda Bird United States 23 765 1.8× 102 0.4× 247 1.3× 124 0.9× 83 0.7× 40 1.7k
Yanyang Wu China 16 499 1.1× 438 1.7× 78 0.4× 79 0.6× 309 2.8× 46 1.4k
Lucas B. Pontel Argentina 16 691 1.6× 159 0.6× 275 1.5× 158 1.1× 36 0.3× 21 1.5k
Elisabeth Mintz France 24 570 1.3× 306 1.2× 289 1.6× 107 0.8× 32 0.3× 50 1.4k
G. M. J. Beijersbergen van Henegouwen Netherlands 25 645 1.5× 238 0.9× 89 0.5× 68 0.5× 122 1.1× 87 1.9k
Claudia Lennicke Germany 11 684 1.6× 211 0.8× 45 0.2× 50 0.4× 93 0.8× 14 1.6k
Qian Yi China 25 903 2.1× 90 0.3× 133 0.7× 39 0.3× 103 0.9× 92 1.8k

Countries citing papers authored by Gonçalo Vale

Since Specialization
Citations

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

Fields of papers citing papers by Gonçalo Vale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gonçalo Vale

This figure shows the co-authorship network connecting the top 25 collaborators of Gonçalo Vale. A scholar is included among the top collaborators of Gonçalo Vale 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 Gonçalo Vale. Gonçalo Vale 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.
Wang, Yong, Lei Bao, Gonçalo Vale, et al.. (2025). ZMYND8 drives HER2 antibody resistance in breast cancer via lipid control of IL-27. Nature Communications. 16(1). 3908–3908. 3 indexed citations
2.
3.
Long, Tao, Gonçalo Vale, Yaoyukun Jiang, et al.. (2024). Molecular insights into human phosphatidylserine synthase 1 reveal its inhibition promotes LDL uptake. Cell. 187(20). 5665–5678.e18. 8 indexed citations
4.
Rong, Shunxing, Mingfeng Xia, Gonçalo Vale, et al.. (2024). DGAT2 inhibition blocks SREBP-1 cleavage and improves hepatic steatosis by increasing phosphatidylethanolamine in the ER. Cell Metabolism. 36(3). 617–629.e7. 46 indexed citations breakdown →
5.
Zhang, Chuanhai, Mengchen Ye, Kamran Melikov, et al.. (2024). CLSTN3B promotes lipid droplet maturation and lipid storage in mouse adipocytes. Nature Communications. 15(1). 9475–9475. 3 indexed citations
6.
Trinh, Michael, Michael S. Brown, Joachim Seemann, et al.. (2022). Interplay between Asters/GRAMD1s and phosphatidylserine in intermembrane transport of LDL cholesterol. Proceedings of the National Academy of Sciences. 119(2). 26 indexed citations
7.
Fu, Xiaorong, Stanisław Deja, Justin A. Fletcher, et al.. (2021). Measurement of lipogenic flux by deuterium resolved mass spectrometry. Nature Communications. 12(1). 3756–3756. 26 indexed citations
8.
Luo, Fei, Ēriks Šmagris, Sarah A. Martin, et al.. (2021). Hepatic TM6SF2 Is Required for Lipidation of VLDL in a Pre-Golgi Compartment in Mice and Rats. Cellular and Molecular Gastroenterology and Hepatology. 13(3). 879–899. 61 indexed citations
9.
Datta, Sanchari, Hanaa Hariri, Rupali Ugrankar, et al.. (2020). Snx14 proximity labeling reveals a role in saturated fatty acid metabolism and ER homeostasis defective in SCAR20 disease. Proceedings of the National Academy of Sciences. 117(52). 33282–33294. 18 indexed citations
10.
Trinh, Michael, Michael S. Brown, Joseph L. Goldstein, et al.. (2020). Last step in the path of LDL cholesterol from lysosome to plasma membrane to ER is governed by phosphatidylserine. Proceedings of the National Academy of Sciences. 117(31). 18521–18529. 96 indexed citations
11.
Ellermann, Melissa, Alline R. Pacheco, Regan M. Russell, et al.. (2020). Endocannabinoids Inhibit the Induction of Virulence in Enteric Pathogens. Cell. 183(3). 650–665.e15. 41 indexed citations
12.
Li, Junjie, Diana C. Canseco, Yuzhu Wang, et al.. (2020). Assessing the safety of transarterial locoregional delivery of low-density lipoprotein docosahexaenoic acid nanoparticles to the rat liver. European Journal of Pharmaceutics and Biopharmaceutics. 158. 273–283. 2 indexed citations
13.
Chimalapati, Suneeta, Marcela de Souza Santos, Wan-Ru Lee, et al.. (2020). Vibrio deploys type 2 secreted lipase to esterify cholesterol with host fatty acids and mediate cell egress. eLife. 9. 22 indexed citations
14.
Ugrankar, Rupali, Hanaa Hariri, Mintu Chandra, et al.. (2019). Drosophila Snazarus Regulates a Lipid Droplet Population at Plasma Membrane-Droplet Contacts in Adipocytes. Developmental Cell. 50(5). 557–572.e5. 65 indexed citations
15.
Prato, Ermelinda, et al.. (2017). Effects of nanoparticles in species of aquaculture interest. Environmental Science and Pollution Research. 24(21). 17326–17346. 109 indexed citations
16.
Santos, J. P., Luísa Carvalho, Gonçalo Vale, et al.. (2011). Ultrasonic energy as a tool to overcome some drawbacks in the determination of lead in brain tissue and urine of rats. Talanta. 86. 442–446. 6 indexed citations
17.
Capelo, José Luís, Mário Diniz, Luz Fernandes, et al.. (2009). Overview on modern approaches to speed up protein identification workflows relying on enzymatic cleavage and mass spectrometry-based techniques. Analytica Chimica Acta. 650(2). 151–159. 75 indexed citations
18.
Rial‐Otero, R., Ricardo J. Carreira, Artur J. Moro, et al.. (2007). Ultrasonic assisted protein enzymatic digestion for fast protein identification by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Journal of Chromatography A. 1166(1-2). 101–107. 50 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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