Frank Gesellchen

1.0k total citations
21 papers, 652 citations indexed

About

Frank Gesellchen is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Frank Gesellchen has authored 21 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Biomedical Engineering and 3 papers in Pharmacology. Recurrent topics in Frank Gesellchen's work include Phosphodiesterase function and regulation (6 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Receptor Mechanisms and Signaling (4 papers). Frank Gesellchen is often cited by papers focused on Phosphodiesterase function and regulation (6 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Receptor Mechanisms and Signaling (4 papers). Frank Gesellchen collaborates with scholars based in Germany, United Kingdom and Norway. Frank Gesellchen's co-authors include Friedrich W. Herberg, Anne L. Bernassau, David R. S. Cumming, Mathis O. Riehle, Bastian Zimmermann, Manuela Zaccolo, Anna Terrin, Alessandra Stangherlin, Nicoletta C. Surdo and Anna Zoccarato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation Research and Analytical Chemistry.

In The Last Decade

Frank Gesellchen

21 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Gesellchen Germany 14 356 223 68 64 58 21 652
Patricia Prieto Spain 17 306 0.9× 163 0.7× 58 0.9× 136 2.1× 13 0.2× 37 880
Rashmi Parihar India 16 291 0.8× 266 1.2× 82 1.2× 54 0.8× 46 0.8× 40 942
Jürgen Hannig United States 10 279 0.8× 173 0.8× 42 0.6× 31 0.5× 37 0.6× 21 701
Eric Lindberg United States 15 455 1.3× 108 0.5× 86 1.3× 45 0.7× 89 1.5× 27 756
Yan Gong China 17 230 0.6× 278 1.2× 20 0.3× 30 0.5× 16 0.3× 76 851
Yuki Hashimoto Japan 20 211 0.6× 150 0.7× 53 0.8× 36 0.6× 88 1.5× 79 1.2k
Sonali S. Mali United States 6 378 1.1× 142 0.6× 50 0.7× 9 0.1× 21 0.4× 7 592
Hiroyuki Hotta Japan 9 274 0.8× 92 0.4× 37 0.5× 130 2.0× 23 0.4× 18 596
Y. K. Suen Hong Kong 14 426 1.2× 212 1.0× 53 0.8× 21 0.3× 5 0.1× 24 637
Yifan Wang China 14 276 0.8× 157 0.7× 45 0.7× 8 0.1× 16 0.3× 46 619

Countries citing papers authored by Frank Gesellchen

Since Specialization
Citations

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

Fields of papers citing papers by Frank Gesellchen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Gesellchen

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Gesellchen. A scholar is included among the top collaborators of Frank Gesellchen 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 Frank Gesellchen. Frank Gesellchen 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.
Lobo, Miguel J., Laia Reverte-Salisa, Andreas Koschinski, et al.. (2020). Phosphodiesterase 2A2 regulates mitochondria clearance through Parkin-dependent mitophagy. Communications Biology. 3(1). 596–596. 22 indexed citations
2.
Gesellchen, Frank, et al.. (2015). Interfacing low-energy SAW nebulization with Liquid Chromatography-Mass Spectrometry for the analysis of biological samples. Scientific Reports. 5(1). 9736–9736. 17 indexed citations
3.
Salehi‐Reyhani, Ali, Frank Gesellchen, Dileep Mampallil, et al.. (2014). Chemical-Free Lysis and Fractionation of Cells by Use of Surface Acoustic Waves for Sensitive Protein Assays. Analytical Chemistry. 87(4). 2161–2169. 37 indexed citations
4.
Gesellchen, Frank, et al.. (2014). Cell patterning with a heptagon acoustic tweezer – application in neurite guidance. Lab on a Chip. 14(13). 2266–2275. 80 indexed citations
5.
Sandison, Mairi E., et al.. (2014). Magnetite-doped polydimethylsiloxane (PDMS) for phosphopeptide enrichment. The Analyst. 139(19). 4974–4981. 7 indexed citations
6.
Bernassau, Anne L., Peter Glynne‐Jones, Frank Gesellchen, et al.. (2013). Controlling acoustic streaming in an ultrasonic heptagonal tweezers with application to cell manipulation. Ultrasonics. 54(1). 268–274. 61 indexed citations
7.
Bertinetti, Daniela, Frank Gesellchen, Felix von Zweydorf, et al.. (2013). Parkinson-related LRRK2 mutation R1441C/G/H impairs PKA phosphorylation of LRRK2 and disrupts its interaction with 14-3-3. Proceedings of the National Academy of Sciences. 111(1). E34–43. 100 indexed citations
8.
Bernassau, Anne L., et al.. (2012). Direct patterning of mammalian cells in an ultrasonic heptagon stencil. Biomedical Microdevices. 14(3). 559–564. 25 indexed citations
9.
Gesellchen, Frank, Alessandra Stangherlin, Nicoletta C. Surdo, et al.. (2011). Measuring Spatiotemporal Dynamics of Cyclic AMP Signaling in Real-Time Using FRET-Based Biosensors. Methods in molecular biology. 746. 297–316. 19 indexed citations
10.
Gesellchen, Frank & Manuela Zaccolo. (2011). Phosphodiesterase 2A, cGMP stimulated. 2 indexed citations
11.
Stangherlin, Alessandra, Frank Gesellchen, Anna Zoccarato, et al.. (2011). cGMP Signals Modulate cAMP Levels in a Compartment-Specific Manner to Regulate Catecholamine-Dependent Signaling in Cardiac Myocytes. Circulation Research. 108(8). 929–939. 120 indexed citations
12.
13.
Franz, Charles M. A. P., et al.. (2009). The High Biofilm-Encoding Bee Locus: A Second Pilus Gene Cluster in Enterococcus faecalis?. Current Microbiology. 59(2). 206–211. 11 indexed citations
14.
Gesellchen, Frank, et al.. (2006). Analysis of posttranslational modifications exemplified using protein kinase A. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(12). 1788–1800. 18 indexed citations
15.
Gesellchen, Frank, Anke Prinz, Bastian Zimmermann, & Friedrich W. Herberg. (2006). Quantification of cAMP antagonist action in vitro and in living cells. European Journal of Cell Biology. 85(7). 663–672. 12 indexed citations
16.
Gesellchen, Frank, et al.. (2006). Biomolecular interaction analysis in functional proteomics. Journal of Neural Transmission. 113(8). 1015–1032. 40 indexed citations
17.
Stokka, Anne Jorunn, Frank Gesellchen, Cathrine R. Carlson, et al.. (2006). Characterization of A-kinase-anchoring disruptors using a solution-based assay. Biochemical Journal. 400(3). 493–499. 32 indexed citations
18.
Gesellchen, Frank, Bastian Zimmermann, & Friedrich W. Herberg. (2005). Direct Optical Detection of Protein-Ligand Interactions. Methods in molecular biology. 305. 17–45. 24 indexed citations
19.
Gesellchen, Frank, et al.. (2000). The protein kinase A catalytic subunit Cβ2: molecular characterization and distribution of the splice variant. Biochemical Journal. 351(1). 123–123. 15 indexed citations
20.
Gesellchen, Frank, et al.. (2000). The protein kinase A catalytic subunit Cβ2: molecular characterization and distribution of the splice variant. Biochemical Journal. 351(1). 123–132. 5 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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