Markus Ralser

29.7k total citations · 8 hit papers
166 papers, 11.3k citations indexed

About

Markus Ralser is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Markus Ralser has authored 166 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Molecular Biology, 29 papers in Spectroscopy and 16 papers in Cancer Research. Recurrent topics in Markus Ralser's work include Microbial Metabolic Engineering and Bioproduction (34 papers), Fungal and yeast genetics research (28 papers) and Advanced Proteomics Techniques and Applications (26 papers). Markus Ralser is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (34 papers), Fungal and yeast genetics research (28 papers) and Advanced Proteomics Techniques and Applications (26 papers). Markus Ralser collaborates with scholars based in United Kingdom, Germany and Austria. Markus Ralser's co-authors include Vadim Demichev, Christoph B. Messner, Hans Lehrach, Kathryn S. Lilley, Markus A. Keller, Spyros I. Vernardis, Kate Campbell, Viridiana Olín‐Sandoval, Nana‐Maria Grüning and Michael Mülleder and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Markus Ralser

157 papers receiving 11.2k citations

Hit Papers

5 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.

DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput

2019 1.4k citations Vadim Demichev, Christoph B. Messner et al. profile →
The return of metabolism: biochemistry and physiology of the pentose phosphate pathway

2014 1.1k citations Nana‐Maria Grüning, Mohammad Tauqeer Alam et al. profile →
Remaining Mysteries of Molecular Biology: The Role of Polyamines in the Cell

2015 514 citations Markus Ralser et al. profile →
The pentose phosphate pathway in health and disease

2023 252 citations Markus Ralser et al. profile →
dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts

2022 202 citations Vadim Demichev, Łukasz Szyrwiel et al. Nature Communications profile →
Ultra-fast proteomics with Scanning SWATH

2021 179 citations Christoph B. Messner, Vadim Demichev et al. profile →
Increasing the throughput of sensitive proteomics by plexDIA

2022 138 citations Markus Ralser, Vadim Demichev et al. profile →
Metabolic exchanges are ubiquitous in natural microbial communities

2023 114 citations Kiran Raosaheb Patil, Markus Ralser et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Ralser United Kingdom	56	7.9k	1.3k	1.2k	814	794	166	11.3k
Bettina Warscheid Germany	52	8.2k 1.0×	904 0.7×	830 0.7×	724 0.9×	581 0.7×	203	10.6k
Jesús Vázquez Spain	63	8.9k 1.1×	1.0k 0.8×	2.2k 1.9×	1.4k 1.8×	423 0.5×	307	14.6k
Stefka Tyanova Germany	17	7.7k 1.0×	2.2k 1.7×	888 0.8×	799 1.0×	798 1.0×	25	11.8k
Tamar Geiger Israel	43	8.9k 1.1×	2.7k 2.0×	1.4k 1.2×	764 0.9×	544 0.7×	100	12.8k
Nicola Zamboni Switzerland	56	9.0k 1.1×	1.0k 0.8×	1.9k 1.6×	1.5k 1.8×	380 0.5×	143	12.4k
Wenyun Lu United States	51	6.4k 0.8×	1.4k 1.0×	1.7k 1.5×	1.3k 1.6×	392 0.5×	120	10.5k
Gary J. Patti United States	53	8.4k 1.1×	2.3k 1.7×	1.7k 1.5×	1.5k 1.8×	563 0.7×	160	12.3k
Robert N. Cole United States	52	8.6k 1.1×	648 0.5×	1.9k 1.7×	1.1k 1.4×	400 0.5×	184	11.6k
Rong Zeng China	53	5.6k 0.7×	978 0.7×	906 0.8×	707 0.9×	665 0.8×	222	8.5k
Albert Sickmann Germany	72	11.0k 1.4×	3.1k 2.3×	862 0.7×	1.2k 1.5×	460 0.6×	320	15.9k

Countries citing papers authored by Markus Ralser

Since Specialization

Citations

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

Fields of papers citing papers by Markus Ralser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Ralser

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tober‐Lau, Pinkus, Luzia Veletzky, Daniela Ludwig, et al.. (2025). Plasma Proteomics Reveals Distinct Signatures in Occult and Microfilaremic Loa loa Infections. The Journal of Infectious Diseases. 232(3). e383–e392. 1 indexed citations

Lemke, Oliver, Benjamin M. Heineike, Sandra Viknander, et al.. (2025). The role of metabolism in shaping enzyme structures over 400 million years. Nature. 644(8075). 280–289. 6 indexed citations

Notebaart, Richard A., et al.. (2025). An enzyme activation network reveals extensive regulatory crosstalk between metabolic pathways. Molecular Systems Biology. 21(7). 870–888.

Farztdinov, Vadim, Vinicius Verri Hernandes, Alessandro De Grandi, et al.. (2025). Extensive modulation of the circulating blood proteome by hormonal contraceptive use across two population studies. Communications Medicine. 5(1). 131–131. 3 indexed citations

Tengölics, Roland, Balázs Szappanos, Michael Mülleder, et al.. (2024). The metabolic domestication syndrome of budding yeast. Proceedings of the National Academy of Sciences. 121(11). e2313354121–e2313354121. 9 indexed citations

Lipińska, Lidia, StJohn Townsend, Anna Golisz, et al.. (2024). Uridylation regulates mRNA decay directionality in fission yeast. Nature Communications. 15(1). 8359–8359. 1 indexed citations

Szyrwiel, Łukasz, Christoph Gille, Michael Mülleder, Vadim Demichev, & Markus Ralser. (2023). Fast proteomics with dia‐PASEF and analytical flow‐rate chromatography. PROTEOMICS. 24(1-2). e2300100–e2300100. 19 indexed citations

Stricker, Sebastian, Martin Karsten, Thomas P. Van Boeckel, et al.. (2023). RECAST: Study protocol for an observational study for the understanding of the increased REsilience of Children compared to Adults in SARS-CoV-2 infecTion. BMJ Open. 13(4). e065221–e065221.

Salzano, Giulia, Theodora Sideri, Steven Howell, et al.. (2023). The yeast RNA methylation complex consists of conserved yet reconfigured components with m6A-dependent and independent roles. eLife. 12. 1 indexed citations

10.

Messner, Christoph B., Vadim Demichev, Johannes Hartl, et al.. (2022). Mass spectrometry‐based high‐throughput proteomics and its role in biomedical studies and systems biology. PROTEOMICS. 23(7-8). e2200013–e2200013. 55 indexed citations

11.

Demichev, Vadim, Łukasz Szyrwiel, Fengchao Yu, et al.. (2022). dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts. Nature Communications. 13(1). 3944–3944. 202 indexed citations breakdown →

12.

Ιωάννου, Μαριάννα, Dennis Hoving, Iker Valle Aramburu, et al.. (2022). Microbe capture by splenic macrophages triggers sepsis via T cell-death-dependent neutrophil lifespan shortening. Nature Communications. 13(1). 4658–4658. 27 indexed citations

13.

Mülleder, Michael, Ihor Batruch, Kathrin Textoris‐Taube, et al.. (2022). High-throughput proteomics of nanogram-scale samples with Zeno SWATH MS. eLife. 11. 42 indexed citations

14.

Varma, Sreejith J., Enrica Calvani, Nana‐Maria Grüning, et al.. (2022). Global analysis of cytosine and adenine DNA modifications across the tree of life. eLife. 11. 14 indexed citations

15.

Varier, Radhika A., Theodora Sideri, Charlotte Capitanchik, et al.. (2022). N6-methyladenosine (m6A) reader Pho92 is recruited co-transcriptionally and couples translation to mRNA decay to promote meiotic fitness in yeast. eLife. 11. 20 indexed citations

16.

Rodríguez‐López, Maria, Cristina Cotobal, Stephan Kamrad, et al.. (2021). Functional profiling of long intergenic non-coding RNAs in fission yeast. eLife. 11. 8 indexed citations

17.

Rallis, Charalampos, et al.. (2020). Amino Acids Whose Intracellular Levels Change Most During Aging Alter Chronological Life Span of Fission Yeast. The Journals of Gerontology Series A. 76(2). 205–210. 11 indexed citations

18.

Ghosh, Sanjay, et al.. (2020). Ribosome profiling reveals ribosome stalling on tryptophan codons and ribosome queuing upon oxidative stress in fission yeast. Nucleic Acids Research. 49(1). 383–399. 47 indexed citations

19.

Ponomarova, Olga, Natalia Gabrielli, Daniel C. Sévin, et al.. (2017). Yeast Creates a Niche for Symbiotic Lactic Acid Bacteria through Nitrogen Overflow. Cell Systems. 5(4). 345–357.e6. 268 indexed citations

20.

Cruz, Cristina, et al.. (2015). Regulation of ribosomal DNA amplification by the TOR pathway. Proceedings of the National Academy of Sciences. 112(31). 9674–9679. 65 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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