Jakob Vowinckel

2.4k total citations
27 papers, 1.6k citations indexed

About

Jakob Vowinckel is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Spectroscopy. According to data from OpenAlex, Jakob Vowinckel has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Spectroscopy. Recurrent topics in Jakob Vowinckel's work include Fungal and yeast genetics research (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Blood properties and coagulation (3 papers). Jakob Vowinckel is often cited by papers focused on Fungal and yeast genetics research (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Blood properties and coagulation (3 papers). Jakob Vowinckel collaborates with scholars based in United Kingdom, Germany and Italy. Jakob Vowinckel's co-authors include Markus Ralser, Diego J. Walther, Maik Grohmann, Michael Bäder, Michael Mülleder, Kate Campbell, Markus A. Keller, Markus Höltje, C. Wilhelm and Gudrun Ahnert‐Hilger and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Jakob Vowinckel

25 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakob Vowinckel United Kingdom 18 909 196 187 171 145 27 1.6k
Satoshi Yamamoto Japan 25 858 0.9× 177 0.9× 270 1.4× 106 0.6× 118 0.8× 80 2.0k
Yan Yan China 26 1.1k 1.2× 334 1.7× 95 0.5× 87 0.5× 95 0.7× 85 1.9k
King‐Hwa Ling Malaysia 27 978 1.1× 163 0.8× 172 0.9× 73 0.4× 112 0.8× 114 1.9k
Hiromichi Yokoi Japan 18 818 0.9× 171 0.9× 209 1.1× 64 0.4× 120 0.8× 32 1.7k
Jeong Taeg Seo South Korea 22 875 1.0× 205 1.0× 357 1.9× 59 0.3× 120 0.8× 50 1.7k
Yiming Zhou China 25 1.3k 1.4× 260 1.3× 128 0.7× 250 1.5× 89 0.6× 67 2.5k
Grant Butt New Zealand 19 671 0.7× 144 0.7× 156 0.8× 122 0.7× 213 1.5× 54 1.3k
Jonathan H. Zippin United States 20 990 1.1× 265 1.4× 244 1.3× 95 0.6× 190 1.3× 59 1.9k
Dongki Yang South Korea 22 981 1.1× 180 0.9× 191 1.0× 275 1.6× 308 2.1× 44 1.7k

Countries citing papers authored by Jakob Vowinckel

Since Specialization
Citations

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

Fields of papers citing papers by Jakob Vowinckel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Vowinckel

This figure shows the co-authorship network connecting the top 25 collaborators of Jakob Vowinckel. A scholar is included among the top collaborators of Jakob Vowinckel 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 Jakob Vowinckel. Jakob Vowinckel 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.
Mallardo, Domenico, Jakob Vowinckel, Michael Bailey, et al.. (2024). A Combined Proteomic and Transcriptomic Signature Is Predictive of Response to Anti-PD-1 Treatment: A Retrospective Study in Metastatic Melanoma Patients. International Journal of Molecular Sciences. 25(17). 9345–9345. 6 indexed citations
2.
Calandria, Jorgelina M., Surjyadipta Bhattacharjee, Pranab K. Mukherjee, et al.. (2023). Elovanoid-N34 modulates TXNRD1 key in protection against oxidative stress-related diseases. Cell Death and Disease. 14(12). 819–819. 4 indexed citations
3.
Topriceanu, Constantin‐Cristian, Petros Syrris, Hunain Shiwani, et al.. (2023). 125 Post-genomic atrial and ventricular myocardial proteome of end-stage lamin heart disease: a prospective clinical trial. A139.2–A141.
4.
Topriceanu, Constantin‐Cristian, Mashael Alfarih, Alun D. Hughes, et al.. (2023). The atrial and ventricular myocardial proteome of end-stage lamin heart disease.. PubMed. 42(2-3). 43–52. 1 indexed citations
5.
Marshall, John L., Beth N. Peshkin, Takayuki Yoshino, et al.. (2022). The Essentials of Multiomics. The Oncologist. 27(4). 272–284. 12 indexed citations
6.
Vowinckel, Jakob, Johannes Hartl, Hans Marx, et al.. (2021). The metabolic growth limitations of petite cells lacking the mitochondrial genome. Nature Metabolism. 3(11). 1521–1535. 27 indexed citations
7.
Vowinckel, Jakob, Martin Soste, Domenico Mallardo, et al.. (2020). 229 Discovery of ganglioside GM2 activator as a novel proteomic biomarker associated with response to treatment in first-line melanoma subjects treated with PD-1 immunotherapy. Regular and Young Investigator Award Abstracts. A137.1–A137.
8.
Olín‐Sandoval, Viridiana, Jason Yu, Leonor Miller‐Fleming, et al.. (2019). Lysine harvesting is an antioxidant strategy and triggers underground polyamine metabolism. Nature. 572(7768). 249–253. 120 indexed citations
9.
Vowinckel, Jakob, Aleksej Zelezniak, Roland Bruderer, et al.. (2018). Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition. Scientific Reports. 8(1). 4346–4346. 54 indexed citations
10.
Novy, Karel, Samuel Kilcher, Ulrich Omasits, et al.. (2018). Proteotype profiling unmasks a viral signalling network essential for poxvirus assembly and transcriptional competence. Nature Microbiology. 3(5). 588–599. 8 indexed citations
11.
Gemayel, Rita, Yudi Yang, Maria C. Dzialo, et al.. (2017). Variable repeats in the eukaryotic polyubiquitin gene ubi4 modulate proteostasis and stress survival. Nature Communications. 8(1). 397–397. 19 indexed citations
12.
Alam, Mohammad Tauqeer, Aleksej Zelezniak, Michael Mülleder, et al.. (2016). The metabolic background is a global player in Saccharomyces gene expression epistasis. Nature Microbiology. 1(3). 15030–15030. 65 indexed citations
13.
Frankl‐Vilches, Carolina, Heiner Kuhl, Martin Werber, et al.. (2015). Using the canary genome to decipher the evolution of hormone-sensitive gene regulation in seasonal singing birds. Genome Biology. 16(1). 19–19. 42 indexed citations
14.
Vowinckel, Jakob, Johannes Hartl, Richard Butler, & Markus Ralser. (2015). MitoLoc: A method for the simultaneous quantification of mitochondrial network morphology and membrane potential in single cells. Mitochondrion. 24. 77–86. 72 indexed citations
15.
Krüger, Antje, Jakob Vowinckel, Michael Mülleder, et al.. (2013). Tpo1‐mediated spermine and spermidine export controls cell cycle delay and times antioxidant protein expression during the oxidative stress response. EMBO Reports. 14(12). 1113–1119. 51 indexed citations
16.
Vowinckel, Jakob, et al.. (2012). Histaminylation of glutamine residues is a novel posttranslational modification implicated in G‐protein signaling. FEBS Letters. 586(21). 3819–3824. 26 indexed citations
17.
18.
Grohmann, Maik, Jörg‐Peter Voigt, Bettina Bert, et al.. (2009). Intracellular Serotonin Modulates Insulin Secretion from Pancreatic β-Cells by Protein Serotonylation. PLoS Biology. 7(10). e1000229–e1000229. 316 indexed citations
19.
Grohmann, Maik, et al.. (2009). A mammalianized synthetic nitroreductase gene for high-level expression. BMC Cancer. 9(1). 301–301. 17 indexed citations
20.
Walther, Diego J., Jens‐Uwe Peter, Sandra Winter, et al.. (2003). Serotonylation of Small GTPases Is a Signal Transduction Pathway that Triggers Platelet α-Granule Release. Cell. 115(7). 851–862. 368 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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