Michaela Strotbek

414 total citations
9 papers, 335 citations indexed

About

Michaela Strotbek is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Michaela Strotbek has authored 9 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Michaela Strotbek's work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), MicroRNA in disease regulation (4 papers) and RNA Interference and Gene Delivery (2 papers). Michaela Strotbek is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (4 papers), MicroRNA in disease regulation (4 papers) and RNA Interference and Gene Delivery (2 papers). Michaela Strotbek collaborates with scholars based in Germany, United States and Portugal. Michaela Strotbek's co-authors include Monilola A. Olayioye, Simone Schmid, Melanie Boerries, Hauke Busch, Angelika Haußer, Anne B. Tolstrup, Hitto Kaufmann, Till Wenger, Lore Florin and Bettina G. Keller and has published in prestigious journals such as PLoS ONE, Cancer Research and International Journal of Cancer.

In The Last Decade

Michaela Strotbek

9 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michaela Strotbek Germany	9	280	148	39	38	28	9	335
Jakub Kochan Poland	10	225 0.8×	87 0.6×	49 1.3×	53 1.4×	13 0.5×	22	303
Roberto Vendramin Belgium	6	328 1.2×	249 1.7×	28 0.7×	70 1.8×	29 1.0×	12	440
Dong Ming He United States	7	316 1.1×	65 0.4×	28 0.7×	138 3.6×	15 0.5×	11	357
Guus M. Bol Netherlands	11	401 1.4×	108 0.7×	47 1.2×	68 1.8×	29 1.0×	26	503
Toni M. Yeasky United States	10	239 0.9×	108 0.7×	22 0.6×	80 2.1×	40 1.4×	14	317
Yinghan Su China	9	204 0.7×	136 0.9×	28 0.7×	71 1.9×	41 1.5×	11	305
Enilze M.S.F. Ribeiro Brazil	10	208 0.7×	141 1.0×	37 0.9×	56 1.5×	37 1.3×	22	303
Giulia Venturi Italy	9	240 0.9×	37 0.3×	102 2.6×	29 0.8×	21 0.8×	21	289
Matteo Cabrini Italy	7	518 1.9×	116 0.8×	15 0.4×	69 1.8×	24 0.9×	9	577
Hafiz M. Ahmad India	7	294 1.1×	286 1.9×	25 0.6×	31 0.8×	13 0.5×	8	387

Countries citing papers authored by Michaela Strotbek

Since Specialization

Citations

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

Fields of papers citing papers by Michaela Strotbek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Strotbek

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

Carvalho, Sofia B., Ricardo A. Gomes, Anja Pfenninger, et al.. (2022). Multi attribute method implementation using a High Resolution Mass Spectrometry platform: From sample preparation to batch analysis. PLoS ONE. 17(1). e0262711–e0262711. 18 indexed citations

Schmid, Simone, et al.. (2020). miR-149 Suppresses Breast Cancer Metastasis by Blocking Paracrine Interactions with Macrophages. Cancer Research. 80(6). 1330–1341. 54 indexed citations

Strotbek, Michaela, et al.. (2017). miR-181 elevates Akt signaling by co-targeting PHLPP2 and INPP4B phosphatases in luminal breast cancer. International Journal of Cancer. 140(10). 2310–2320. 52 indexed citations

Strotbek, Michaela, et al.. (2017). ATF6β‐based fine‐tuning of the unfolded protein response enhances therapeutic antibody productivity of Chinese hamster ovary cells. Biotechnology and Bioengineering. 114(6). 1310–1318. 27 indexed citations

Strotbek, Michaela, et al.. (2017). Secretory pathway optimization of CHO producer cells by co-engineering of the mitosRNA-1978 target genes CerS2 and Tbc1D20. Metabolic Engineering. 40. 69–79. 20 indexed citations

Morkel, Markus, Sven Beyes, Michaela Strotbek, et al.. (2016). Oncogenic Ras triggers hyperproliferation and impairs polarized colonic morphogenesis by autocrine ErbB3 signaling. Oncotarget. 7(33). 53526–53539. 11 indexed citations

Bayerlová, Michaela, et al.. (2015). A global microRNA screen identifies regulators of the ErbB receptor signaling network. Cell Communication and Signaling. 13(1). 5–5. 25 indexed citations

Keller, Bettina G., Michaela Strotbek, Simone Schmid, et al.. (2014). miR149 Functions as a Tumor Suppressor by Controlling Breast Epithelial Cell Migration and Invasion. Cancer Research. 74(18). 5256–5265. 67 indexed citations

Strotbek, Michaela, Lore Florin, Anne B. Tolstrup, et al.. (2013). Stable microRNA expression enhances therapeutic antibody productivity of Chinese hamster ovary cells. Metabolic Engineering. 20. 157–166. 61 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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