Gabriele Gradl

23 total papers · 764 total citations
14 papers, 598 citations indexed

About

Gabriele Gradl is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Gabriele Gradl has authored 14 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 4 papers in Molecular Biology and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Gabriele Gradl's work include Microfluidic and Bio-sensing Technologies (7 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Electrostatics and Colloid Interactions (3 papers). Gabriele Gradl is often cited by papers focused on Microfluidic and Bio-sensing Technologies (7 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Electrostatics and Colloid Interactions (3 papers). Gabriele Gradl collaborates with scholars based in Germany, United States and Canada. Gabriele Gradl's co-authors include Torsten Müller, T. Schnelle, G. Fuhr, S G Shirley, Thomas Schnelle, Steffen Howitz, Magnus S. Jäger, Stephen G. Shirley, Günter Führ and Petra Klein and has published in prestigious journals such as Current Biology, Methods in enzymology on CD-ROM/Methods in enzymology and Gene.

In The Last Decade

Gabriele Gradl

14 papers receiving 571 citations

Author Peers

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

Author						Papers	Cites
Gabriele Gradl	450	244	132	68	35	14	598
Urban Seger	447 1.0×	254 1.0×	146 1.1×	62 0.9×	25 0.7×	6	619
Anoop Menachery	462 1.0×	147 0.6×	100 0.8×	53 0.8×	60 1.7×	27	581
S. Aranda-Espinoza	360 0.8×	112 0.5×	383 2.9×	31 0.5×	73 2.1×	19	678
Chengxun Liu	503 1.1×	166 0.7×	143 1.1×	21 0.3×	16 0.5×	32	672
Eva Lai	342 0.8×	130 0.5×	150 1.1×	39 0.6×	15 0.4×	14	557
Athanasia E. Christakou	310 0.7×	67 0.3×	66 0.5×	18 0.3×	21 0.6×	16	545
Vincent Haguet	289 0.6×	115 0.5×	137 1.0×	12 0.2×	5 0.1×	25	505
Joseph Rich	422 0.9×	111 0.5×	132 1.0×	13 0.2×	8 0.2×	21	542
T. J. Anderson	412 0.9×	269 1.1×	31 0.2×	33 0.5×	36 1.0×	12	601
Marco Becker	578 1.3×	178 0.7×	67 0.5×	11 0.2×	8 0.2×	14	644

Countries citing papers authored by Gabriele Gradl

Since Specialization

Citations

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

Fields of papers citing papers by Gabriele Gradl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Gradl

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