Sascha Losko

611 total citations
8 papers, 474 citations indexed

About

Sascha Losko is a scholar working on Molecular Biology, Cell Biology and Information Systems and Management. According to data from OpenAlex, Sascha Losko has authored 8 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cell Biology and 1 paper in Information Systems and Management. Recurrent topics in Sascha Losko's work include Biomedical Text Mining and Ontologies (3 papers), Cellular transport and secretion (3 papers) and Ubiquitin and proteasome pathways (2 papers). Sascha Losko is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Cellular transport and secretion (3 papers) and Ubiquitin and proteasome pathways (2 papers). Sascha Losko collaborates with scholars based in United States, Germany and United Kingdom. Sascha Losko's co-authors include Chris A. Kaiser, Stephen B. Helliwell, Ralf Kölling, Andreas Kranz, Esther J. Chen, Klaus G. Heumann, Axel Walch, Heinz Höfler, Holger Laux and Karl‐Friedrich Becker and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Sascha Losko

8 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sascha Losko United States	7	378	249	59	42	27	8	474
Martin Mehnert Switzerland	10	311 0.8×	247 1.0×	119 2.0×	33 0.8×	33 1.2×	13	460
Kojiro Takeda Japan	12	452 1.2×	151 0.6×	67 1.1×	24 0.6×	20 0.7×	19	526
Nadia P.C. Allen United States	9	729 1.9×	150 0.6×	21 0.4×	55 1.3×	23 0.9×	9	823
Anant Vasudevan United States	3	269 0.7×	120 0.5×	31 0.5×	50 1.2×	15 0.6×	5	387
Yusuke Shimizu Japan	6	291 0.8×	159 0.6×	115 1.9×	39 0.9×	12 0.4×	16	423
Konstantin Akopiants United States	11	513 1.4×	74 0.3×	68 1.2×	95 2.3×	27 1.0×	15	586
Joanna Bottomley United Kingdom	12	340 0.9×	139 0.6×	32 0.5×	15 0.4×	42 1.6×	19	463
Scott Rusin United States	12	507 1.3×	219 0.9×	30 0.5×	53 1.3×	18 0.7×	23	602
Brian Lin United States	5	346 0.9×	219 0.9×	20 0.3×	32 0.8×	13 0.5×	7	486
Pascale Adami France	12	209 0.6×	74 0.3×	60 1.0×	26 0.6×	18 0.7×	22	339

Countries citing papers authored by Sascha Losko

Since Specialization

Citations

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

Fields of papers citing papers by Sascha Losko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sascha Losko

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

All Works

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8 of 8 papers shown

1.

Losko, Sascha & Klaus G. Heumann. (2017). Semantic Data Integration and Knowledge Management to Represent Biological Network Associations. Methods in molecular biology. 1613. 403–423. 7 indexed citations

2.

Decker, David A., et al.. (2011). Toward an Integrated Knowledge Environment to Support Modern Oncology. The Cancer Journal. 17(4). 257–263. 5 indexed citations

3.

Maier, Dieter, Susana G. Kalko, Josep Roca, et al.. (2011). Knowledge management for Systems Biology a general and visually driven framework applied to translational medicine. BMC Systems Biology. 5(1). 38–38. 34 indexed citations

4.

Hipp, Susanne, Axel Walch, Tibor Schuster, et al.. (2008). Activation of epidermal growth factor receptor results in Snail protein but not mRNA overexpression in endometrial cancer. Journal of Cellular and Molecular Medicine. 13(9b). 3858–3867. 30 indexed citations

5.

Kaiser, Chris A., Esther J. Chen, & Sascha Losko. (2002). Subcellular fractionation of secretory organelles. Methods in enzymology on CD-ROM/Methods in enzymology. 325–338. 34 indexed citations

6.

Losko, Sascha, et al.. (2001). Uptake of the ATP-Binding Cassette (ABC) Transporter Ste6 into the Yeast Vacuole Is Blocked in the doa4 Mutant. Molecular Biology of the Cell. 12(4). 1047–1059. 65 indexed citations

7.

Helliwell, Stephen B., Sascha Losko, & Chris A. Kaiser. (2001). Components of a Ubiquitin Ligase Complex Specify Polyubiquitination and Intracellular Trafficking of the General Amino Acid Permease. The Journal of Cell Biology. 153(4). 649–662. 231 indexed citations

8.

Kölling, Ralf & Sascha Losko. (1997). The linker region of the ABC-transporter Ste6 mediates ubiquitination and fast turnover of the protein. The EMBO Journal. 16(9). 2251–2261. 68 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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