Michael Mülleder

6.1k total citations · 2 hit papers
51 papers, 2.2k citations indexed

About

Michael Mülleder is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Michael Mülleder has authored 51 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 14 papers in Spectroscopy and 4 papers in Physiology. Recurrent topics in Michael Mülleder's work include Fungal and yeast genetics research (15 papers), Advanced Proteomics Techniques and Applications (13 papers) and Microbial Metabolic Engineering and Bioproduction (13 papers). Michael Mülleder is often cited by papers focused on Fungal and yeast genetics research (15 papers), Advanced Proteomics Techniques and Applications (13 papers) and Microbial Metabolic Engineering and Bioproduction (13 papers). Michael Mülleder collaborates with scholars based in United Kingdom, Germany and Switzerland. Michael Mülleder's co-authors include Markus Ralser, Vadim Demichev, Aleksej Zelezniak, Jakob Vowinckel, Mohammad Tauqeer Alam, Christoph B. Messner, Uwe Sauer, Floriana Capuano, Katharina Bluemlein and Kathryn S. Lilley and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael Mülleder

47 papers receiving 2.2k citations

Hit 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-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. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Mülleder United Kingdom	23	1.6k	433	251	164	139	51	2.2k
Andrew Hayes United Kingdom	28	2.0k 1.3×	261 0.6×	173 0.7×	187 1.1×	257 1.8×	56	2.5k
Simona G. Codreanu United States	25	2.0k 1.3×	568 1.3×	86 0.3×	250 1.5×	121 0.9×	53	2.9k
Uma K. Aryal United States	25	1.1k 0.7×	388 0.9×	71 0.3×	129 0.8×	247 1.8×	118	1.9k
David Enot France	32	1.9k 1.2×	349 0.8×	114 0.5×	208 1.3×	451 3.2×	51	3.3k
Therese RW Clauss United States	24	1.5k 0.9×	631 1.5×	87 0.3×	106 0.6×	175 1.3×	33	2.3k
Jason D. Russell United States	20	1.4k 0.9×	721 1.7×	62 0.2×	104 0.6×	98 0.7×	29	2.0k
Darren Kessner United States	7	1.6k 1.0×	983 2.3×	63 0.3×	147 0.9×	153 1.1×	7	2.2k
Sameh Magdeldin Egypt	18	702 0.4×	277 0.6×	72 0.3×	86 0.5×	83 0.6×	79	1.3k
Mark Williams United Kingdom	19	1.8k 1.1×	287 0.7×	46 0.2×	168 1.0×	131 0.9×	32	2.4k
Rasmus Hansen Denmark	17	1.4k 0.9×	160 0.4×	94 0.4×	82 0.5×	108 0.8×	38	2.0k

Countries citing papers authored by Michael Mülleder

Since Specialization

Citations

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

Fields of papers citing papers by Michael Mülleder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Mülleder

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

All Works

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20 of 20 papers shown

Matz‐Soja, Madlen, Christiane Körner, Christian Bergmann, et al.. (2026). Modeling the dynamics of hepatic metabolism: the predominance of 12-hour rhythmicity in metabolic adaptation. Cellular and Molecular Life Sciences. 83(1). 55–55.

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

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

Dittmayer, Carsten, Duygu Elif Yılmaz, Michael Mülleder, et al.. (2024). Immunosuppression with cyclosporine versus tacrolimus shows distinctive nephrotoxicity profiles within renal compartments. Acta Physiologica. 240(8). e14190–e14190. 7 indexed citations

Buric, Filip, Sandra Viknander, Xiaozhi Fu, et al.. (2024). Amino acid sequence encodes protein abundance shaped by protein stability at reduced synthesis cost. Protein Science. 34(1). e5239–e5239. 1 indexed citations

Kespohl, Meike, Carl Christoph Goetzke, Nadine Althof, et al.. (2024). TF-FVIIa PAR2-β-Arrestin Signaling Sustains Organ Dysfunction in Coxsackievirus B3 Infection of Mice. Arteriosclerosis Thrombosis and Vascular Biology. 44(4). 843–865. 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

White, Matthew, Ludwig Sinn, D. Marc Jones, et al.. (2023). Oxonium ion scanning mass spectrometry for large-scale plasma glycoproteomics. Nature Biomedical Engineering. 8(3). 233–247. 16 indexed citations

10.

Talwar, Deepti, Colin G. Miller, Łukasz Szyrwiel, et al.. (2023). The GAPDH redox switch safeguards reductive capacity and enables survival of stressed tumour cells. Nature Metabolism. 5(4). 660–676. 59 indexed citations

11.

Kamrad, Stephan, Clara Correia‐Melo, Łukasz Szyrwiel, et al.. (2023). Metabolic heterogeneity and cross-feeding within isogenic yeast populations captured by DILAC. Nature Microbiology. 8(3). 441–454. 14 indexed citations

12.

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

13.

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 →

14.

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

15.

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

16.

Freitag, Kiara, Benedikt Obermayer, J Schulz, et al.. (2022). Spermidine reduces neuroinflammation and soluble amyloid beta in an Alzheimer’s disease mouse model. Journal of Neuroinflammation. 19(1). 172–172. 74 indexed citations

17.

Messner, Christoph B., Vadim Demichev, Nic Bloomfield, et al.. (2021). Ultra-fast proteomics with Scanning SWATH. Nature Biotechnology. 39(7). 846–854. 179 indexed citations breakdown →

18.

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

19.

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

20.

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

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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