Sabine Gauczynski

9 total papers · 793 total citations
8 papers, 650 citations indexed

About

Sabine Gauczynski is a scholar working on Molecular Biology, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sabine Gauczynski has authored 8 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sabine Gauczynski's work include Prion Diseases and Protein Misfolding (8 papers), Neurological diseases and metabolism (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Sabine Gauczynski is often cited by papers focused on Prion Diseases and Protein Misfolding (8 papers), Neurological diseases and metabolism (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Sabine Gauczynski collaborates with scholars based in Germany, France and United States. Sabine Gauczynski's co-authors include Stefan Weiß, Christoph Leucht, C. Hundt, Daphne Nikles, Susanne Alban, Denis Barritault, Stefan Weiß, Clémence Rey, Dulce Papy-García and Jacques Grassi and has published in prestigious journals such as The EMBO Journal, Journal of Cell Science and The Journal of Infectious Diseases.

In The Last Decade

Sabine Gauczynski

8 papers receiving 634 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sabine Gauczynski	569	247	213	86	85	8	650
Steve Simoneau	476 0.8×	199 0.8×	154 0.7×	30 0.3×	22 0.3×	13	581
Michele Halimi	611 1.1×	314 1.3×	254 1.2×	32 0.4×	14 0.2×	17	686
Salit Tzaban	569 1.0×	191 0.8×	174 0.8×	86 1.0×	12 0.1×	9	689
Prusiner Sb	651 1.1×	271 1.1×	231 1.1×	24 0.3×	15 0.2×	14	726
Petra Parizek	551 1.0×	122 0.5×	85 0.4×	166 1.9×	7 0.1×	11	637
Alexander A. Veenstra	298 0.5×	109 0.4×	24 0.1×	128 1.5×	19 0.2×	12	621
K. Stewart	442 0.8×	170 0.7×	156 0.7×	17 0.2×	5 0.1×	11	703
Stine Rasmussen	147 0.3×	259 1.0×	151 0.7×	15 0.2×	14 0.2×	10	728
Paul R. Webb	491 0.9×	82 0.3×	78 0.4×	8 0.1×	43 0.5×	16	732
Heather A. Edens	220 0.4×	76 0.3×	25 0.1×	24 0.3×	63 0.7×	10	600

Countries citing papers authored by Sabine Gauczynski

Since Specialization

Citations

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

Fields of papers citing papers by Sabine Gauczynski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Gauczynski

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

All Works

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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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