Michaela Bairlein

1.1k total citations
9 papers, 850 citations indexed

About

Michaela Bairlein is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michaela Bairlein has authored 9 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michaela Bairlein's work include Advanced Proteomics Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Michaela Bairlein is often cited by papers focused on Advanced Proteomics Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Michaela Bairlein collaborates with scholars based in Germany, Hungary and United Kingdom. Michaela Bairlein's co-authors include Gÿorgý Kéri, Zoltán Greff, Jesper V. Olsen, Henrik Daub, Felix Oppermann, Matthias Mann, Florian Gnad, Roman Körner, Olaf Stemmann and Martin Radtke and has published in prestigious journals such as Molecular Cell, Nature Methods and Journal of Medicinal Chemistry.

In The Last Decade

Michaela Bairlein

8 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michaela Bairlein Germany	7	575	198	189	147	100	9	850
Xiaomeng Shen United States	18	462 0.8×	96 0.5×	48 0.3×	216 1.5×	91 0.9×	31	754
David Meininger United States	19	689 1.2×	124 0.6×	115 0.6×	50 0.3×	192 1.9×	22	1.2k
Karin Barnouin United Kingdom	14	543 0.9×	500 2.5×	123 0.7×	99 0.7×	32 0.3×	22	1.1k
Marjo de Graauw Netherlands	16	652 1.1×	167 0.8×	111 0.6×	67 0.5×	20 0.2×	23	1.0k
Salisha Hill United States	16	630 1.1×	170 0.9×	92 0.5×	102 0.7×	44 0.4×	24	939
Thu H. Truong United States	15	743 1.3×	251 1.3×	77 0.4×	53 0.4×	38 0.4×	24	1.2k
Pedro Casado United Kingdom	17	833 1.4×	187 0.9×	81 0.4×	321 2.2×	29 0.3×	45	1.2k
Yoon Pin Lim Singapore	17	731 1.3×	204 1.0×	193 1.0×	97 0.7×	63 0.6×	32	1.0k
Ching-Shih Chen United States	11	468 0.8×	180 0.9×	126 0.7×	36 0.2×	20 0.2×	12	1.1k
Agustı́n Rodrı́guez-González Spain	16	859 1.5×	282 1.4×	96 0.5×	39 0.3×	215 2.1×	25	1.3k

Countries citing papers authored by Michaela Bairlein

Since Specialization

Citations

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

Fields of papers citing papers by Michaela Bairlein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Bairlein

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

All Works

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9 of 9 papers shown

Raschke, Marian, et al.. (2025). Predicting in vitro assays related to liver function using probabilistic machine learning. Toxicology. 516. 154195–154195.

Schulz, Simone I., Dieter Lang, Gabriele Schmuck, et al.. (2023). In vivo Metabolism of Nifurtimox and the Drug-Drug Interaction Potential Including its Major Metabolites. Current Drug Metabolism. 24(8). 599–610. 1 indexed citations

Heinig, Roland, et al.. (2020). Results from Drug–Drug Interaction Studies In Vitro and In Vivo Investigating the Effect of Finerenone on the Pharmacokinetics of Comedications. European Journal of Drug Metabolism and Pharmacokinetics. 45(4). 433–444. 18 indexed citations

Zurth, Christian, Mikko Koskinen, Robert E. Fricke, et al.. (2019). Drug–Drug Interaction Potential of Darolutamide: In Vitro and Clinical Studies. European Journal of Drug Metabolism and Pharmacokinetics. 44(6). 747–759. 71 indexed citations

Lang, Dieter, Martin Radtke, & Michaela Bairlein. (2019). Highly Variable Expression of CYP1A1 in Human Liver and Impact on Pharmacokinetics of Riociguat and Granisetron in Humans. Chemical Research in Toxicology. 32(6). 1115–1122. 46 indexed citations

Werner, Stefan, R.C. Hillig, Antonius ter Laak, et al.. (2019). Discovery and Characterization of the Potent and Selective P2X4 Inhibitor N -[4-(3-Chlorophenoxy)-3-sulfamoylphenyl]-2-phenylacetamide (BAY-1797) and Structure-Guided Amelioration of Its CYP3A4 Induction Profile. Journal of Medicinal Chemistry. 62(24). 11194–11217. 43 indexed citations

Kraynov, Eugenia, Ajith V. Kamath, Markus Walles, et al.. (2015). Current Approaches for Absorption, Distribution, Metabolism, and Excretion Characterization of Antibody-Drug Conjugates: An Industry White Paper. Drug Metabolism and Disposition. 44(5). 617–623. 70 indexed citations

Sharma, Kirti, Christoph K. Weber, Michaela Bairlein, et al.. (2009). Proteomics strategy for quantitative protein interaction profiling in cell extracts. Nature Methods. 6(10). 741–744. 104 indexed citations

Daub, Henrik, Jesper V. Olsen, Michaela Bairlein, et al.. (2008). Kinase-Selective Enrichment Enables Quantitative Phosphoproteomics of the Kinome across the Cell Cycle. Molecular Cell. 31(3). 438–448. 497 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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