Stefan P. Albaum

1.5k total citations
41 papers, 1.2k citations indexed

About

Stefan P. Albaum is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Stefan P. Albaum has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 8 papers in Spectroscopy and 7 papers in Genetics. Recurrent topics in Stefan P. Albaum's work include Genomics and Phylogenetic Studies (12 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). Stefan P. Albaum is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). Stefan P. Albaum collaborates with scholars based in Germany, United Kingdom and Argentina. Stefan P. Albaum's co-authors include Alexander Goesmann, Alfred Pühler, Jochen Blom, Frank‐Jörg Vorhölter, Martha Zakrzewski, Jens Stoye, Heiko Neuweger, Tim W. Nattkemper, Michael Dondrup and Karsten Niehaus and has published in prestigious journals such as Bioinformatics, PLoS ONE and Molecular Microbiology.

In The Last Decade

Stefan P. Albaum

41 papers receiving 1.2k citations

Peers

Stefan P. Albaum

ECOLO

GENET

Thomas Patschkowski Germany

Marcus Persicke Germany

Alexander G. Shearer United States

Deepika Weerasinghe United States

Carmen Michán Spain

Valérie Leclère France

Álvaro Cuadros‐Inostroza Germany

Ana Arabolaza Argentina

Dorjee G. Tamang United States

Mike J. Naldrett United Kingdom

Thomas Patschkowski Germany

Stefan P. Albaum

423 ×0.5

521 ×1.7

92 ×0.5

ECOLO

88 ×0.6

108 ×1.0

GENET

Citations per year, relative to Stefan P. Albaum Stefan P. Albaum (= 1×) peers Thomas Patschkowski

Countries citing papers authored by Stefan P. Albaum

Since Specialization

Citations

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

Fields of papers citing papers by Stefan P. Albaum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan P. Albaum. 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 Stefan P. Albaum. The network helps show where Stefan P. Albaum may publish in the future.

Co-authorship network of co-authors of Stefan P. Albaum

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan P. Albaum. A scholar is included among the top collaborators of Stefan P. Albaum 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 Stefan P. Albaum. Stefan P. Albaum 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

Paggi, Roberto A., et al.. (2022). Proteome Turnover Analysis in Haloferax volcanii by a Heavy Isotope Multilabeling Approach. Methods in molecular biology. 2522. 267–286. 2 indexed citations

Gärtner, Anna, Andreas Brodehl, Caroline Stanasiuk, et al.. (2020). Distinct Myocardial Transcriptomic Profiles of Cardiomyopathies Stratified by the Mutant Genes. Genes. 11(12). 1430–1430. 6 indexed citations

Lichtenstein, Dajana, Almut Mentz, Felix F. Schmidt, et al.. (2020). Transcript and protein marker patterns for the identification of steatotic compounds in human HepaRG cells. Food and Chemical Toxicology. 145. 111690–111690. 16 indexed citations

Haurat, M. Florencia, Lena Hoffmann, Andreas Albersmeier, et al.. (2019). Early Response of Sulfolobus acidocaldarius to Nutrient Limitation. Frontiers in Microbiology. 9. 3201–3201. 25 indexed citations

Albaum, Stefan P., et al.. (2019). Clonal variations in CHO IGF signaling investigated by SILAC-based phosphoproteomics and LFQ-MS. Applied Microbiology and Biotechnology. 103(19). 8127–8143. 13 indexed citations

Jaenicke, Sebastian, et al.. (2018). Flexible metagenome analysis using the MGX framework. Microbiome. 6(1). 76–76. 16 indexed citations

Jünemann, Sebastian, Nils Kleinbölting, Sebastian Jaenicke, et al.. (2017). Bioinformatics for NGS-based metagenomics and the application to biogas research. Journal of Biotechnology. 261. 10–23. 61 indexed citations

Albaum, Stefan P., et al.. (2017). Proteomics of FACS-sorted heterogeneous Corynebacterium glutamicum populations. Journal of Proteomics. 160. 1–7. 9 indexed citations

Ortseifen, Vera, Yvonne Stolze, Irena Maus, et al.. (2016). An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant. Journal of Biotechnology. 231. 268–279. 19 indexed citations

10.

Gätgens, Jochem, et al.. (2015). 2D-DIGE screening of high-productive CHO cells under glucose limitation—Basic changes in the proteome equipment and hints for epigenetic effects. Journal of Biotechnology. 201. 86–97. 12 indexed citations

11.

Kessler, Nikolas, Anja Bonte, Stefan P. Albaum, et al.. (2015). Learning to Classify Organic and Conventional Wheat â€“ A Machine Learning Driven Approach Using the MeltDB 2.0 Metabolomics Analysis Platform. Frontiers in Bioengineering and Biotechnology. 3. 35–35. 21 indexed citations

12.

Wibberg, Daniel, Anika Winkler, Andreas Albersmeier, et al.. (2015). Draft genome of the xanthan producer Xanthomonas campestris NRRL B-1459 (ATCC 13951). Journal of Biotechnology. 204. 45–46. 16 indexed citations

13.

Wibberg, Daniel, Oliver Rupp, Jochen Blom, et al.. (2015). Development of a Rhizoctonia solani AG1-IB Specific Gene Model Enables Comparative Genome Analyses between Phytopathogenic R. solani AG1-IA, AG1-IB, AG3 and AG8 Isolates. PLoS ONE. 10(12). e0144769–e0144769. 33 indexed citations

14.

Kessler, Nikolas, Marcus Persicke, Stefan P. Albaum, et al.. (2014). ALLocator: An Interactive Web Platform for the Analysis of Metabolomic LC-ESI-MS Datasets, Enabling Semi-Automated, User-Revised Compound Annotation and Mass Isotopomer Ratio Analysis. PLoS ONE. 9(11). e113909–e113909. 24 indexed citations

15.

Jünemann, Sebastian, Karola Prior, Andreas Albersmeier, et al.. (2014). GABenchToB: A Genome Assembly Benchmark Tuned on Bacteria and Benchtop Sequencers. PLoS ONE. 9(9). e107014–e107014. 23 indexed citations

16.

Dondrup, Michael, Stefan P. Albaum, Thasso Griebel, et al.. (2009). EMMA 2 – A MAGE-compliant system for the collaborative analysis and integration of microarray data. BMC Bioinformatics. 10(1). 50–50. 59 indexed citations

17.

Neuweger, Heiko, Marcus Persicke, Stefan P. Albaum, et al.. (2009). Visualizing post genomics data-sets on customized pathway maps by ProMeTra – aeration-dependent gene expression and metabolism of Corynebacterium glutamicum as an example. BMC Systems Biology. 3(1). 82–82. 56 indexed citations

18.

Blom, Jochen, Stefan P. Albaum, Alfred Pühler, et al.. (2009). EDGAR: A software framework for the comparative analysis of prokaryotic genomes. BMC Bioinformatics. 10(1). 154–154. 334 indexed citations

19.

Neuweger, Heiko, Jan Baumbach, Stefan P. Albaum, et al.. (2007). CoryneCenter – An online resource for the integrated analysis of corynebacterial genome and transcriptome data. BMC Systems Biology. 1(1). 55–55. 11 indexed citations

20.

Bartels, Daniela, Stefan P. Albaum, Alexander Goesmann, et al.. (2004). BACCardI—a tool for the validation of genomic assemblies, assisting genome finishing and intergenome comparison. Bioinformatics. 21(7). 853–859. 23 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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