Markus Proft

4.1k total citations
48 papers, 2.9k citations indexed

About

Markus Proft is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Markus Proft has authored 48 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 12 papers in Plant Science and 10 papers in Cell Biology. Recurrent topics in Markus Proft's work include Fungal and yeast genetics research (35 papers), Endoplasmic Reticulum Stress and Disease (10 papers) and Mitochondrial Function and Pathology (8 papers). Markus Proft is often cited by papers focused on Fungal and yeast genetics research (35 papers), Endoplasmic Reticulum Stress and Disease (10 papers) and Mitochondrial Function and Pathology (8 papers). Markus Proft collaborates with scholars based in Spain, United States and Germany. Markus Proft's co-authors include Amparo Pascual‐Ahuir, Kevin Struhl, Ramón Serrano, Karl‐Dieter Entian, Francisca Rández‐Gil, Francesc Posas, Consuelo Montesinos, Martin P. Leube, Gabino Ríos and Íñigo Fernandez-de-Larrinoa and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Markus Proft

47 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Proft Spain 28 2.4k 854 318 290 189 48 2.9k
María Teresa Martínez‐Pastor Spain 22 2.0k 0.8× 460 0.5× 324 1.0× 316 1.1× 118 0.6× 38 2.6k
Francisco Estruch Spain 20 3.2k 1.3× 687 0.8× 495 1.6× 478 1.6× 149 0.8× 54 3.5k
Marina Vai Italy 29 1.8k 0.7× 776 0.9× 351 1.1× 401 1.4× 120 0.6× 72 2.6k
Jay L. Brewster United States 12 1.7k 0.7× 446 0.5× 476 1.5× 182 0.6× 168 0.9× 15 1.9k
Dai Hirata Japan 26 1.8k 0.7× 387 0.5× 539 1.7× 243 0.8× 124 0.7× 91 2.2k
W. Mark Toone United Kingdom 18 2.4k 1.0× 551 0.6× 444 1.4× 118 0.4× 151 0.8× 21 2.8k
Bertrand Daignan‐Fornier France 29 2.3k 1.0× 371 0.4× 314 1.0× 143 0.5× 73 0.4× 70 2.7k
Philippe Silar France 31 1.9k 0.8× 1.5k 1.7× 542 1.7× 162 0.6× 537 2.8× 108 3.0k
Willem H. Mager Netherlands 34 2.9k 1.2× 685 0.8× 286 0.9× 303 1.0× 101 0.5× 70 3.6k
Simon Labbé Canada 29 1.4k 0.6× 783 0.9× 207 0.7× 150 0.5× 106 0.6× 73 2.6k

Countries citing papers authored by Markus Proft

Since Specialization
Citations

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

Fields of papers citing papers by Markus Proft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Proft

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Proft. A scholar is included among the top collaborators of Markus Proft 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 Markus Proft. Markus Proft 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.
Pascual‐Ahuir, Amparo, et al.. (2023). Genomic Instability and Epigenetic Changes during Aging. International Journal of Molecular Sciences. 24(18). 14279–14279. 52 indexed citations
2.
Pascual‐Ahuir, Amparo, et al.. (2019). Dose dependent gene expression is dynamically modulated by the history, physiology and age of yeast cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1862(4). 457–471. 9 indexed citations
3.
Alarcón, B., et al.. (2019). Live-cell assays reveal selectivity and sensitivity of the multidrug response in budding yeast. Journal of Biological Chemistry. 294(35). 12933–12946. 11 indexed citations
4.
Pascual‐Ahuir, Amparo, et al.. (2017). Pro‐ and Antioxidant Functions of the Peroxisome‐Mitochondria Connection and Its Impact on Aging and Disease. Oxidative Medicine and Cellular Longevity. 2017(1). 9860841–9860841. 59 indexed citations
5.
Pascual‐Ahuir, Amparo, et al.. (2017). Ask yeast how to burn your fats: lessons learned from the metabolic adaptation to salt stress. Current Genetics. 64(1). 63–69. 22 indexed citations
6.
Pascual‐Ahuir, Amparo, et al.. (2017). Stress‐Activated Degradation of Sphingolipids Regulates Mitochondrial Function and Cell Death in Yeast. Oxidative Medicine and Cellular Longevity. 2017(1). 2708345–2708345. 9 indexed citations
7.
Pascual‐Ahuir, Amparo, et al.. (2015). Coordinated Gene Regulation in the Initial Phase of Salt Stress Adaptation. Journal of Biological Chemistry. 290(16). 10163–10175. 19 indexed citations
8.
Timón‐Gómez, Alba, Markus Proft, & Amparo Pascual‐Ahuir. (2013). Differential Regulation of Mitochondrial Pyruvate Carrier Genes Modulates Respiratory Capacity and Stress Tolerance in Yeast. PLoS ONE. 8(11). e79405–e79405. 37 indexed citations
9.
Pascual‐Ahuir, Amparo & Markus Proft. (2011). Quantification of Protein–DNA Interactions by In Vivo Chromatin Immunoprecipitation in Yeast. Methods in molecular biology. 809. 149–156. 3 indexed citations
10.
Pascual‐Ahuir, Amparo, et al.. (2010). Repression of ergosterol biosynthesis is essential for stress resistance and is mediated by the Hog1 MAP kinase and the Mot3 and Rox1 transcription factors. Molecular Microbiology. 79(4). 1008–1023. 104 indexed citations
11.
Proft, Markus, et al.. (2009). Mitochondrial Function Is an Inducible Determinant of Osmotic Stress Adaptation in Yeast. Journal of Biological Chemistry. 284(44). 30307–30317. 66 indexed citations
12.
Pascual‐Ahuir, Amparo & Markus Proft. (2007). The Sch9 kinase is a chromatin‐associated transcriptional activator of osmostress‐responsive genes. The EMBO Journal. 26(13). 3098–3108. 60 indexed citations
13.
Pascual‐Ahuir, Amparo & Markus Proft. (2007). Control of Stress-Regulated Gene Expression and Longevity by the Sch9 Protein Kinase. Cell Cycle. 6(20). 2445–2447. 14 indexed citations
14.
Proft, Markus, et al.. (2006). The Stress-Activated Hog1 Kinase Is a Selective Transcriptional Elongation Factor for Genes Responding to Osmotic Stress. Molecular Cell. 23(2). 241–250. 127 indexed citations
15.
Pascual‐Ahuir, Amparo, Kevin Struhl, & Markus Proft. (2006). Genome-wide location analysis of the stress-activated MAP kinase Hog1 in yeast. Methods. 40(3). 272–278. 33 indexed citations
16.
Proft, Markus & Kevin Struhl. (2004). MAP Kinase-Mediated Stress Relief that Precedes and Regulates the Timing of Transcriptional Induction. Cell. 118(3). 351–361. 176 indexed citations
17.
Proft, Markus & Kevin Struhl. (2002). Hog1 Kinase Converts the Sko1-Cyc8-Tup1 Repressor Complex into an Activator that Recruits SAGA and SWI/SNF in Response to Osmotic Stress. Molecular Cell. 9(6). 1307–1317. 288 indexed citations
18.
Pascual‐Ahuir, Amparo, Francesc Posas, Ramón Serrano, & Markus Proft. (2001). Multiple Levels of Control Regulate the Yeast cAMP-response Element-binding Protein Repressor Sko1p in Response to Stress. Journal of Biological Chemistry. 276(40). 37373–37378. 53 indexed citations
19.
Rández‐Gil, Francisca, et al.. (1997). Glucose Derepression of Gluconeogenic Enzymes in Saccharomyces cerevisiae Correlates with Phosphorylation of the Gene Activator Cat8p. Molecular and Cellular Biology. 17(5). 2502–2510. 106 indexed citations
20.

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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