Gabriele Endresz

12 total papers · 790 total citations
10 papers, 732 citations indexed

About

Gabriele Endresz is a scholar working on Spectroscopy, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Gabriele Endresz has authored 10 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Spectroscopy, 8 papers in Biomedical Engineering and 1 paper in Molecular Biology. Recurrent topics in Gabriele Endresz's work include Analytical Chemistry and Chromatography (9 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (6 papers). Gabriele Endresz is often cited by papers focused on Analytical Chemistry and Chromatography (9 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (6 papers). Gabriele Endresz collaborates with scholars based in Germany, Georgia and Slovakia. Gabriele Endresz's co-authors include Gottfried Blaschke, Bezhan Chankvetadze, Dieter Bergenthal, Georg Schulte, Markus Juza, Volker Schurig and E. Brandšteterová and has published in prestigious journals such as Chemical Society Reviews, Journal of Chromatography A and Carbohydrate Research.

In The Last Decade

Gabriele Endresz

10 papers receiving 710 citations

Author Peers

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

Author						Papers	Cites
Gabriele Endresz	635	626	56	47	27	10	732
Ketevan Lomsadze	586 0.9×	497 0.8×	86 1.5×	63 1.3×	25 0.9×	16	638
Jiří Snopek	435 0.7×	537 0.9×	21 0.4×	86 1.8×	8 0.3×	18	641
J. Bryan Vincent	439 0.7×	575 0.9×	33 0.6×	118 2.5×	23 0.9×	7	659
F. Weeke	526 0.8×	347 0.6×	155 2.8×	57 1.2×	7 0.3×	16	686
Iva Zusková	330 0.5×	547 0.9×	40 0.7×	120 2.6×	10 0.4×	17	697
Karen B. Sentell	531 0.8×	291 0.5×	264 4.7×	82 1.7×	83 3.1×	15	775
Darshan C. Patel	577 0.9×	355 0.6×	191 3.4×	158 3.4×	9 0.3×	14	710
Norio Matsubara	324 0.5×	559 0.9×	48 0.9×	97 2.1×	5 0.2×	17	718
Karen D. Ward	544 0.9×	287 0.5×	117 2.1×	144 3.1×	8 0.3×	7	699
Cevdet Akbay	382 0.6×	410 0.7×	29 0.5×	47 1.0×	6 0.2×	24	652

Countries citing papers authored by Gabriele Endresz

Since Specialization

Citations

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

Fields of papers citing papers by Gabriele Endresz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Endresz

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