S. Weisbrod

20 total papers · 637 total citations
15 papers, 494 citations indexed

About

S. Weisbrod is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, S. Weisbrod has authored 15 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Electrical and Electronic Engineering and 6 papers in Organic Chemistry. Recurrent topics in S. Weisbrod's work include Advanced biosensing and bioanalysis techniques (8 papers), Click Chemistry and Applications (6 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). S. Weisbrod is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Click Chemistry and Applications (6 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). S. Weisbrod collaborates with scholars based in Germany, United States and France. S. Weisbrod's co-authors include Andreas Marx, Zhuo Tang, Artur Erbe, Elke Scheer, Tobias Voigt, D. Schmid, Martin Wieser, Kai Chang, Sebastian Stark and Luis Zúñiga and has published in prestigious journals such as Angewandte Chemie International Edition, Proceedings of the IEEE and Chemical Communications.

In The Last Decade

S. Weisbrod

15 papers receiving 475 citations

Author Peers

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

Author						Papers	Cites
S. Weisbrod	360	175	132	57	48	15	494
P. Cimmperman	303 0.8×	49 0.3×	28 0.2×	14 0.2×	25 0.5×	21	457
Michael T. Flanagan	324 0.9×	37 0.2×	132 1.0×	48 0.8×	49 1.0×	26	545
Ralf Strasser	332 0.9×	83 0.5×	46 0.3×	16 0.3×	58 1.2×	25	448
Günter Förster	251 0.7×	176 1.0×	47 0.4×	37 0.6×	24 0.5×	22	501
Othman Bouloussa	190 0.5×	156 0.9×	77 0.6×	148 2.6×	19 0.4×	12	438
Stephen C. Case-Green	355 1.0×	82 0.5×	53 0.4×	11 0.2×	13 0.3×	12	467
Thomas Heinlein	244 0.7×	149 0.9×	39 0.3×	18 0.3×	8 0.2×	12	441
Matjaž Bončina	328 0.9×	42 0.2×	16 0.1×	51 0.9×	40 0.8×	19	455
Dominique Ernst	147 0.4×	146 0.8×	42 0.3×	55 1.0×	32 0.7×	8	521
Nibedita Pal	312 0.9×	113 0.6×	39 0.3×	96 1.7×	8 0.2×	19	503

Countries citing papers authored by S. Weisbrod

Since Specialization

Citations

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

Fields of papers citing papers by S. Weisbrod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Weisbrod

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