Michael Lauber

484 total citations · 1 hit paper
7 papers, 237 citations indexed

About

Michael Lauber is a scholar working on Molecular Biology, Surgery and Statistical and Nonlinear Physics. According to data from OpenAlex, Michael Lauber has authored 7 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Michael Lauber's work include Bioinformatics and Genomic Networks (4 papers), Gut microbiota and health (2 papers) and Gene expression and cancer classification (2 papers). Michael Lauber is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Gut microbiota and health (2 papers) and Gene expression and cancer classification (2 papers). Michael Lauber collaborates with scholars based in Germany, Denmark and United States. Michael Lauber's co-authors include Markus List, Jan Baumbach, Monica Steffi Matchado, Sandra Reitmeier, Dirk Haller, Tim Kacprowski, Fatemeh Behjati Ardakani, Martin Klingenspor, Fabian J. Theis and Ilias Lagkouvardos and has published in prestigious journals such as Scientific Reports, PROTEOMICS and Briefings in Bioinformatics.

In The Last Decade

Michael Lauber

7 papers receiving 236 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 analysis methods for studying microbial communities: A mini review

2021 197 citations Monica Steffi Matchado, Michael Lauber et al. Computational and Structural Biotechnology Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Lauber Germany	5	131	67	29	24	20	7	237
Sergey Feranchuk Russia	9	84 0.6×	53 0.8×	31 1.1×	16 0.7×	8 0.4×	17	238
Chris Henry United States	7	173 1.3×	99 1.5×	31 1.1×	23 1.0×	13 0.7×	9	291
Jaron Thompson United States	9	139 1.1×	79 1.2×	40 1.4×	13 0.5×	42 2.1×	14	266
Erin Thorson Canada	4	192 1.5×	131 2.0×	16 0.6×	45 1.9×	6 0.3×	4	301
Alina Sommer France	4	176 1.3×	75 1.1×	29 1.0×	11 0.5×	5 0.3×	4	293
Marion Hortala United Kingdom	2	146 1.1×	101 1.5×	175 6.0×	31 1.3×	39 1.9×	2	366
Arron Shiffer United States	4	140 1.1×	44 0.7×	34 1.2×	3 0.1×	8 0.4×	6	205
Amanda N. Shelton United States	4	207 1.6×	104 1.6×	42 1.4×	36 1.5×	6 0.3×	7	321
Ningqi Wang China	9	56 0.4×	48 0.7×	81 2.8×	50 2.1×	27 1.4×	16	240
Veronika Dubinkina United States	8	202 1.5×	69 1.0×	16 0.6×	9 0.4×	2 0.1×	16	306

Countries citing papers authored by Michael Lauber

Since Specialization

Citations

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

Fields of papers citing papers by Michael Lauber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lauber

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

All Works

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7 of 7 papers shown

1.

Lauber, Michael, et al.. (2024). Single-cell transcriptome analysis reveals secretin as a hallmark of human enteroendocrine cell maturation. Scientific Reports. 14(1). 13525–13525. 4 indexed citations

2.

Lauber, Michael, et al.. (2023). Computational tools for inferring transcription factor activity. PROTEOMICS. 23(23-24). e2200462–e2200462. 11 indexed citations

3.

Henao, Juan, Michael Lauber, Fabian J. Theis, et al.. (2023). Multi-omics regulatory network inference in the presence of missing data. Briefings in Bioinformatics. 24(5). 8 indexed citations

4.

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

5.

Lauber, Michael, et al.. (2022). KeyPathwayMineR: De Novo Pathway Enrichment in the R Ecosystem. Frontiers in Genetics. 12. 812853–812853. 6 indexed citations

6.

Henao, Juan, et al.. (2022). Multi-Omics Regulatory Network Inference in the Presence of Missing Data. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

7.

Matchado, Monica Steffi, Michael Lauber, Sandra Reitmeier, et al.. (2021). Network analysis methods for studying microbial communities: A mini review. Computational and Structural Biotechnology Journal. 19. 2687–2698. 197 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.

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