Daniel Weinbuch

12 total papers · 449 total citations
8 papers, 345 citations indexed

About

Daniel Weinbuch is a scholar working on Molecular Biology, Biomedical Engineering and Pharmaceutical Science. According to data from OpenAlex, Daniel Weinbuch has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Pharmaceutical Science. Recurrent topics in Daniel Weinbuch's work include Protein purification and stability (6 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). Daniel Weinbuch is often cited by papers focused on Protein purification and stability (6 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). Daniel Weinbuch collaborates with scholars based in Netherlands, United States and Germany. Daniel Weinbuch's co-authors include Wim Jiskoot, Andrea Hawe, Wolfgang Frieß, Michael Wiggenhorn, Gerhard Winter, Sarah Zölls, Vera Brinks, Matthew Baker, Stefan Kostense and Yann Dean and has published in prestigious journals such as Pharmaceutical Research, Journal of Pharmaceutical Sciences and European Journal of Pharmaceutics and Biopharmaceutics.

In The Last Decade

Daniel Weinbuch

8 papers receiving 333 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Weinbuch 265 150 99 57 28 8 345
Brendan Fish 273 1.0× 77 0.5× 106 1.1× 24 0.4× 21 0.8× 8 394
Nataliya Afonina 257 1.0× 105 0.7× 121 1.2× 60 1.1× 24 0.9× 3 296
Srivalli Telikepalli 292 1.1× 82 0.5× 172 1.7× 51 0.9× 13 0.5× 12 321
Kamal Egodage 284 1.1× 74 0.5× 161 1.6× 47 0.8× 10 0.4× 10 358
Christoph Grapentin 180 0.7× 85 0.6× 147 1.5× 25 0.4× 25 0.9× 13 365
Nicolas Tokhadzé 247 0.9× 90 0.6× 175 1.8× 66 1.2× 22 0.8× 9 392
Rachael A. Lewus 333 1.3× 120 0.8× 169 1.7× 31 0.5× 32 1.1× 9 391
Eva Horn Møller 174 0.7× 98 0.7× 84 0.8× 19 0.3× 18 0.6× 14 387
Colm McAtamney 108 0.4× 132 0.9× 39 0.4× 11 0.2× 52 1.9× 8 353
Jee-Hyun Cho 122 0.5× 120 0.8× 38 0.4× 13 0.2× 21 0.8× 10 342

Countries citing papers authored by Daniel Weinbuch

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Weinbuch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Weinbuch

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