Markus List

6.9k total citations · 4 hit papers
106 papers, 3.1k citations indexed

About

Markus List is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Markus List has authored 106 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 19 papers in Cancer Research and 10 papers in Computational Theory and Mathematics. Recurrent topics in Markus List's work include Bioinformatics and Genomic Networks (28 papers), Gene expression and cancer classification (21 papers) and Single-cell and spatial transcriptomics (11 papers). Markus List is often cited by papers focused on Bioinformatics and Genomic Networks (28 papers), Gene expression and cancer classification (21 papers) and Single-cell and spatial transcriptomics (11 papers). Markus List collaborates with scholars based in Germany, Denmark and Italy. Markus List's co-authors include Jan Baumbach, Gregor Sturm, Francesca Finotello, Harald Schmidt, Cristian Nogales, Zeinab M. Mamdouh, Christina Kiel, Ana I. Casas, Jitao David Zhang and Wolf H. Fridman and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Markus List

96 papers receiving 3.1k 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.

Network pharmacology: curing causal mechanisms instead of treating symptoms

2021 645 citations Markus List et al. profile →
Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology

2019 569 citations Gregor Sturm, Francesca Finotello et al. Bioinformatics profile →
Primer, Pipelines, Parameters: Issues in 16S rRNA Gene Sequencing

2021 270 citations Monica Steffi Matchado, Sandra Reitmeier et al. profile →
Network analysis methods for studying microbial communities: A mini review

2021 197 citations Monica Steffi Matchado, Michael Lauber 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 List Germany	25	1.9k	553	397	394	350	106	3.1k
Mikaela Koutrouli Denmark	5	2.2k 1.2×	463 0.8×	303 0.8×	343 0.9×	373 1.1×	12	3.9k
Farrokh Mehryary Finland	8	2.1k 1.1×	460 0.8×	299 0.8×	342 0.9×	370 1.1×	15	3.8k
Chao Lv China	32	1.2k 0.6×	331 0.6×	543 1.4×	491 1.2×	286 0.8×	178	3.1k
Yunping Zhu China	28	2.5k 1.3×	464 0.8×	451 1.1×	250 0.6×	402 1.1×	112	4.1k
Fei Su China	26	1.8k 1.0×	654 1.2×	633 1.6×	200 0.5×	231 0.7×	123	2.7k
Geng Tian China	33	1.6k 0.8×	689 1.2×	523 1.3×	390 1.0×	149 0.4×	155	3.8k
Mickaël Guedj France	23	2.2k 1.2×	413 0.7×	342 0.9×	235 0.6×	420 1.2×	54	4.0k
Mattias Rantalainen Sweden	26	2.0k 1.1×	572 1.0×	512 1.3×	229 0.6×	420 1.2×	64	3.9k
Habtom W. Ressom United States	36	3.5k 1.9×	668 1.2×	445 1.1×	210 0.5×	259 0.7×	170	5.1k
Dong Li China	28	2.0k 1.1×	287 0.5×	246 0.6×	158 0.4×	235 0.7×	124	3.3k

Countries citing papers authored by Markus List

Since Specialization

Citations

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

Fields of papers citing papers by Markus List

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus List

This figure shows the co-authorship network connecting the top 25 collaborators of Markus List. A scholar is included among the top collaborators of Markus List 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 List. Markus List 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

Zolotareva, Olga, Olga Tsoy, Josch K. Pauling, et al.. (2025). Systematic evaluation of normalization approaches in tandem mass tag and label-free protein quantification data using PRONE. Briefings in Bioinformatics. 26(3). 1 indexed citations

Blumenthal, David B., et al.. (2025). Deep learning models for unbiased sequence-based PPI prediction plateau at an accuracy of 0.65. Bioinformatics. 41(Supplement_1). i590–i598.

Blumenthal, David B., et al.. (2024). Emergence of power law distributions in protein-protein interaction networks through study bias. eLife. 13. 1 indexed citations

Lazareva, Olga, et al.. (2024). DysRegNet: Patient‐specific and confounder‐aware dysregulated network inference towards precision therapeutics. British Journal of Pharmacology. 183(8). 1709–1724.

Blumenthal, David B., et al.. (2024). Cracking the black box of deep sequence-based protein–protein interaction prediction. Briefings in Bioinformatics. 25(2). 29 indexed citations

Blumenthal, David B., et al.. (2023). Cracking the black box of deep sequence-based protein-protein interaction prediction.

Lucchetta, Marta, et al.. (2023). Online bias-aware disease module mining with ROBUST-Web. Bioinformatics. 39(6). 3 indexed citations

Sturm, Gregor, et al.. (2022). SimBu : bias-aware simulation of bulk RNA-seq data with variable cell-type composition. Bioinformatics. 38(Supplement_2). ii141–ii147. 16 indexed citations

Matchado, Monica Steffi, Maximilian Zwiebel, Michael Lauber, et al.. (2022). Namco: a microbiome explorer. Microbial Genomics. 8(8). 10 indexed citations

10.

Baumbach, Jan, Wilko Weichert, Katja Steiger, et al.. (2022). The limits of molecular signatures for pancreatic ductal adenocarcinoma subtyping. NAR Cancer. 4(4). zcac030–zcac030. 4 indexed citations

11.

Maurer, H. Carlo, David Schult, Sandra Reitmeier, et al.. (2022). Gut Microbial Disruption in Critically Ill Patients with COVID-19-Associated Pulmonary Aspergillosis. Journal of Fungi. 8(12). 1265–1265.

12.

Louadi, Zakaria, et al.. (2022). Systematic analysis of alternative splicing in time course data using Spycone. Bioinformatics. 39(1). 2 indexed citations

13.

Tsoy, Olga, Zakaria Louadi, Uwe Völker, et al.. (2022). Alternative splicing analysis benchmark with DICAST. NAR Genomics and Bioinformatics. 5(2). lqad044–lqad044. 6 indexed citations

14.

Sturm, Gregor, Markus List, & Jitao David Zhang. (2021). Tissue heterogeneity is prevalent in gene expression studies. NAR Genomics and Bioinformatics. 3(3). lqab077–lqab077. 7 indexed citations

15.

Lazareva, Olga, Marc Rosenbaum, Marina Lukas, et al.. (2021). Platelet Surface Protein Expression and Reactivity upon TRAP Stimulation after BNT162b2 Vaccination. Thrombosis and Haemostasis. 122(10). 1706–1711. 10 indexed citations

16.

Lazareva, Olga, et al.. (2021). A systematic comparison of novel and existing differential analysis methods for CyTOF data. Briefings in Bioinformatics. 23(1). 8 indexed citations

17.

Canzar, Stefan, Jan Baumbach, David B. Blumenthal, et al.. (2020). BiCoN: network-constrained biclustering of patients and omics data. Bioinformatics. 37(16). 2398–2404. 15 indexed citations

18.

Blumenthal, David B., Lorenzo Viola, Markus List, et al.. (2020). EpiGEN: an epistasis simulation pipeline. Bioinformatics. 36(19). 4957–4959. 10 indexed citations

19.

Blumenthal, David B., Jan Baumbach, Markus Hoffmann, Tim Kacprowski, & Markus List. (2020). A framework for modeling epistatic interaction. Bioinformatics. 37(12). 1708–1716. 4 indexed citations

20.

Sturm, Gregor, Francesca Finotello, Florent Petitprez, et al.. (2019). Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology. Bioinformatics. 35(14). i436–i445. 569 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact