Gerhard Baaken

645 total citations
20 papers, 459 citations indexed

About

Gerhard Baaken is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gerhard Baaken has authored 20 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 10 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gerhard Baaken's work include Nanopore and Nanochannel Transport Studies (13 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Lipid Membrane Structure and Behavior (7 papers). Gerhard Baaken is often cited by papers focused on Nanopore and Nanochannel Transport Studies (13 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Lipid Membrane Structure and Behavior (7 papers). Gerhard Baaken collaborates with scholars based in Germany, France and Switzerland. Gerhard Baaken's co-authors include Jan C. Behrends, Jürgen Rühe, Norbert Ankri, Markus Sondermann, Juan Pelta, Abdelghani Oukhaled, Laurent Bacri, Ekaterina Zaitseva, Abdelaziz Al Ouahabi and Niklas Felix König and has published in prestigious journals such as ACS Nano, Langmuir and Biophysical Journal.

In The Last Decade

Gerhard Baaken

16 papers receiving 455 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gerhard Baaken Germany 9 342 236 93 69 31 20 459
Varuni Subramaniam United States 7 258 0.8× 228 1.0× 94 1.0× 49 0.7× 102 3.3× 8 450
Yusuke Goto Japan 12 280 0.8× 147 0.6× 87 0.9× 77 1.1× 41 1.3× 27 386
Y. M. Nuwan D. Y. Bandara United States 14 393 1.1× 115 0.5× 122 1.3× 69 1.0× 76 2.5× 22 475
Filip Bošković United Kingdom 12 226 0.7× 305 1.3× 45 0.5× 40 0.6× 36 1.2× 16 414
Swati Krishnan Germany 9 374 1.1× 417 1.8× 69 0.7× 60 0.9× 39 1.3× 11 602
Ivan D. Shumov Russia 14 307 0.9× 306 1.3× 127 1.4× 15 0.2× 38 1.2× 59 503
Maria J. Lopez‐Martinez Spain 17 388 1.1× 88 0.4× 147 1.6× 13 0.2× 24 0.8× 32 577
Takashi Anazawa Japan 10 349 1.0× 173 0.7× 94 1.0× 18 0.3× 28 0.9× 28 497
Elena García-Giménez Spain 10 282 0.8× 129 0.5× 134 1.4× 8 0.1× 23 0.7× 11 385
Kei Funakoshi Japan 5 418 1.2× 378 1.6× 94 1.0× 12 0.2× 33 1.1× 5 630

Countries citing papers authored by Gerhard Baaken

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Baaken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Baaken

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

All Works

20 of 20 papers shown
1.
Reiter, Renate, et al.. (2019). Activity of the Gramicidin A Ion Channel in a Lipid Membrane with Switchable Physical Properties. Langmuir. 35(46). 14959–14966. 4 indexed citations
2.
Baaken, Gerhard, et al.. (2018). Size-dependent interaction of a 3-arm star poly(ethylene glycol) with two biological nanopores. The European Physical Journal E. 41(6). 77–77. 1 indexed citations
3.
Baaken, Gerhard, et al.. (2018). A Fully Integrated Current-Mode Continuous-Time Delta-Sigma Modulator For Biological Nanopore Read-Out. IEEE Transactions on Biomedical Circuits and Systems. 13(1). 1–1. 16 indexed citations
4.
Baaken, Gerhard, et al.. (2017). Translocation and Binding in the Recognition of Short Oligonucleotides by a Biological Nanopore. Biophysical Journal. 112(3). 459a–460a. 1 indexed citations
5.
König, Niklas Felix, et al.. (2017). Translocation of Precision Polymers through Biological Nanopores. Macromolecular Rapid Communications. 38(24). 26 indexed citations
6.
Ruiz-Arroyo, Victor M., Inmaculada García‐Robles, Galo A. Goig, et al.. (2016). Validation of ADAM10 metalloprotease as a Bacillus thuringiensis Cry3Aa toxin functional receptor in Colorado potato beetle ( Leptinotarsa decemlineata ). Insect Molecular Biology. 26(2). 204–214. 12 indexed citations
8.
Bajaj, Harsha, Gerhard Baaken, Jiajun Wang, et al.. (2015). Antibiotic translocation through porins studied in planar lipid bilayers using parallel platforms. The Analyst. 140(14). 4874–4881. 13 indexed citations
9.
Baaken, Gerhard, et al.. (2015). High-Resolution Size-Discrimination of Single Nonionic Synthetic Polymers with a Highly Charged Biological Nanopore. ACS Nano. 9(6). 6443–6449. 103 indexed citations
10.
Zaitseva, Ekaterina, et al.. (2014). Automated Formation of Lipid Membrane Microarrays for Ionic Single‐Molecule Sensing with Protein Nanopores. Small. 11(1). 119–125. 48 indexed citations
11.
Zheng, Tianyang, et al.. (2014). Generation of chip based microelectrochemical cell arrays for long-term and high-resolution recording of ionic currents through ion channel proteins. Sensors and Actuators B Chemical. 205. 268–275. 4 indexed citations
12.
Baaken, Gerhard, et al.. (2012). Parallel Acquisition of High Resolution Polymer Mass-Spectra on a Nanopore Microbilayer Array. Biophysical Journal. 102(3). 28a–28a. 2 indexed citations
13.
Dondapati, Srujan Kumar, et al.. (2011). Dielectrophoretic Positioning of Cells on Planar Microelectrode Cavity Arrays (MECA) for High Throughput Patch-Clamp Measurements. Biophysical Journal. 100(3). 305a–305a. 1 indexed citations
14.
Baaken, Gerhard, et al.. (2011). Nanopore-Based Single-Molecule Mass Spectrometry on a Lipid Membrane Microarray. ACS Nano. 5(10). 8080–8088. 119 indexed citations
15.
Baaken, Gerhard & Jan C. Behrends. (2011). Hochauflösende Einzelmolekülanalyse mit Nanoporen-Arrays. BIOspektrum. 17(7). 769–772.
16.
Schneider, Matthias, Stefan Schumann, K. Gamerdinger, et al.. (2009). Characteristics of highly flexible PDMS membranes for long‐term mechanostimulation of biological tissue. Journal of Biomedical Materials Research Part B Applied Biomaterials. 91B(2). 700–705. 18 indexed citations
17.
Baaken, Gerhard, et al.. (2008). Planar microelectrode-cavity array for high-resolution and parallel electrical recording of membrane ionic currents. Lab on a Chip. 8(6). 938–938. 89 indexed citations
18.
Baaken, Gerhard. (1995). IV. Das sizilische Königtum Kaiser Heinrichs VI. Zeitschrift der Savigny-Stiftung für Rechtsgeschichte Germanistische Abteilung. 112(1). 202–244. 1 indexed citations
19.
Baaken, Gerhard, et al.. (1972). Die Regesten des Kaiserreiches unter Heinrich VI., 1165(1190)-1197. Böhlau eBooks.
20.
Baaken, Gerhard. (1968). Die Altersfolge der Söhne Friedrich Barbarossas und die Königserhebung Heinrichs VI.. 24(1). 46–78. 1 indexed citations

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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