Daniela Schober

725 total citations
8 papers, 608 citations indexed

About

Daniela Schober is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Daniela Schober has authored 8 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 2 papers in Epidemiology. Recurrent topics in Daniela Schober's work include Viral Infections and Immunology Research (5 papers), RNA Interference and Gene Delivery (3 papers) and Virus-based gene therapy research (2 papers). Daniela Schober is often cited by papers focused on Viral Infections and Immunology Research (5 papers), RNA Interference and Gene Delivery (3 papers) and Virus-based gene therapy research (2 papers). Daniela Schober collaborates with scholars based in Austria, Belgium and United States. Daniela Schober's co-authors include Renate Fuchs, Dieter Blaas, Nora Bayer, Robert F. Murphy, Peter Kronenberger, Manfred Hüttinger, Ernst Wagner, Marianne Brabec, Opokua Ofori‐Anyinam and R. Vrijsen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Cell and Tissue Research.

In The Last Decade

Daniela Schober

8 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Schober Austria	7	319	150	149	127	105	8	608
Nora Bayer Austria	6	302 0.9×	138 0.9×	121 0.8×	125 1.0×	96 0.9×	7	566
Paula Upla Finland	13	562 1.8×	98 0.7×	147 1.0×	262 2.1×	133 1.3×	20	898
Komla Sobo Switzerland	8	257 0.8×	114 0.8×	68 0.5×	134 1.1×	33 0.3×	10	540
Jörg Votteler Germany	11	464 1.5×	219 1.5×	41 0.3×	162 1.3×	113 1.1×	16	938
Pablo R. Grigera Argentina	17	330 1.0×	107 0.7×	349 2.3×	217 1.7×	76 0.7×	28	965
Fabienne Rayne France	15	530 1.7×	211 1.4×	32 0.2×	86 0.7×	200 1.9×	20	961
Daniel Püntener Switzerland	7	530 1.7×	119 0.8×	52 0.3×	309 2.4×	302 2.9×	7	925
Beat Amstutz Switzerland	8	315 1.0×	146 1.0×	29 0.2×	80 0.6×	192 1.8×	10	580
Frank Wegmann Netherlands	13	298 0.9×	97 0.6×	72 0.5×	60 0.5×	96 0.9×	27	722
Erin Stempinski United States	9	249 0.8×	116 0.8×	90 0.6×	20 0.2×	64 0.6×	22	558

Countries citing papers authored by Daniela Schober

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Schober

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Schober

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

Schober, Daniela, et al.. (2005). Transferrin recycling and dextran transport to lysosomes is differentially affected by bafilomycin, nocodazole, and low temperature. Cell and Tissue Research. 320(1). 99–113. 115 indexed citations

2.

Brabec, Marianne, Daniela Schober, Ernst Wagner, et al.. (2004). Opening of Size-Selective Pores in Endosomes during Human Rhinovirus Serotype 2 In Vivo Uncoating Monitored by Single-Organelle Flow Analysis. Journal of Virology. 79(2). 1008–1016. 46 indexed citations

3.

Bayer, Nora, Daniela Schober, Manfred Hüttinger, Dieter Blaas, & Renate Fuchs. (2001). Inhibition of Clathrin-dependent Endocytosis Has Multiple Effects on Human Rhinovirus Serotype 2 Cell Entry. Journal of Biological Chemistry. 276(6). 3952–3962. 51 indexed citations

4.

Schober, Daniela, Nora Bayer, Robert F. Murphy, Ernst Wagner, & Renate Fuchs. (2000). Establishment of an assay to determine adenovirus-induced endosome rupture required for receptor-mediated gene delivery. 1 indexed citations

5.

Schober, Daniela, et al.. (1998). Major and Minor Receptor Group Human Rhinoviruses Penetrate from Endosomes by Different Mechanisms. Journal of Virology. 72(2). 1354–1364. 89 indexed citations

6.

Kronenberger, Peter, Daniela Schober, Opokua Ofori‐Anyinam, et al.. (1998). Uptake of poliovirus into the endosomal system of HeLa cells. Archives of Virology. 143(7). 1417–1424. 11 indexed citations

7.

Bayer, Nora, et al.. (1998). Effect of Bafilomycin A1 and Nocodazole on Endocytic Transport in HeLa Cells: Implications for Viral Uncoating and Infection. Journal of Virology. 72(12). 9645–9655. 283 indexed citations

8.

Kronenberger, Peter, et al.. (1997). Use of free‐flow electrophoresis for the analysis of cellular uptake of picornaviruses. Electrophoresis. 18(14). 2531–2536. 12 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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