Andreas Pansky

902 total citations
18 papers, 741 citations indexed

About

Andreas Pansky is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Andreas Pansky has authored 18 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Surgery and 4 papers in Genetics. Recurrent topics in Andreas Pansky's work include Mesenchymal stem cell research (4 papers), Receptor Mechanisms and Signaling (3 papers) and Neuropeptides and Animal Physiology (3 papers). Andreas Pansky is often cited by papers focused on Mesenchymal stem cell research (4 papers), Receptor Mechanisms and Signaling (3 papers) and Neuropeptides and Animal Physiology (3 papers). Andreas Pansky collaborates with scholars based in Switzerland, Germany and Italy. Andreas Pansky's co-authors include Pius Hildebrand, André P. Perruchoud, Michel Bihl, Michael Tamm, Michael Roth, Oliver Eickelberg, Elizaveta Fasler‐Kan, Edda Tobiasch, Markus H. Heim and Christoph Beglinger and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Andreas Pansky

17 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Pansky Switzerland	12	285	222	178	102	79	18	741
Juan José Montesinos Mexico	21	454 1.6×	278 1.3×	323 1.8×	128 1.3×	182 2.3×	73	1.5k
Jessica Hsieh United States	6	155 0.5×	132 0.6×	195 1.1×	45 0.4×	28 0.4×	8	639
Dympna Harmey United States	11	560 2.0×	189 0.9×	78 0.4×	57 0.6×	39 0.5×	16	1.6k
Yoshio Shimabukuro Japan	23	459 1.6×	92 0.4×	238 1.3×	24 0.2×	86 1.1×	44	1.5k
David M. Walter United States	10	432 1.5×	195 0.9×	421 2.4×	171 1.7×	88 1.1×	12	1.3k
Ling Chen China	17	571 2.0×	93 0.4×	81 0.5×	49 0.5×	100 1.3×	53	993
Shu Uin Gan Singapore	18	395 1.4×	145 0.7×	182 1.0×	36 0.4×	66 0.8×	44	980
Veronica Basso Italy	17	414 1.5×	256 1.2×	433 2.4×	41 0.4×	94 1.2×	33	902

Countries citing papers authored by Andreas Pansky

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Pansky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Pansky

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

All Works

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18 of 18 papers shown

Winter, Martin, et al.. (2022). Examination of the Quality of Particulate and Filtered Mandibular Bone Chips for Oral Implants: An In Vitro Study. Applied Sciences. 12(4). 2031–2031. 1 indexed citations

Zhang, Yu, et al.. (2020). P2 Receptors Influence hMSCs Differentiation towards Endothelial Cell and Smooth Muscle Cell Lineages. International Journal of Molecular Sciences. 21(17). 6210–6210. 10 indexed citations

Brandenstein, Melanie von, Stephan Wolf, Andreas Pansky, et al.. (2018). Beyond the 3′UTR binding-microRNA-induced protein truncation via DNA binding. Oncotarget. 9(67). 32855–32867. 20 indexed citations

Pfützner, Andreas, et al.. (2017). Mesenchymal Stem Cell Differentiation into Adipocytes Is Equally Induced by Insulin and Proinsulin In Vitro. International Journal of Stem Cells. 10(2). 154–159. 7 indexed citations

Zhang, Yu, Patrick Lau, Andreas Pansky, et al.. (2014). The Role of Purinergic Signaling in Endothelial and Smooth Muscle Cells under Simulated Microgravity. elib (German Aerospace Center).

Zhang, Yu, Patrick Lau, Andreas Pansky, et al.. (2014). The Influence of Simulated Microgravity on Purinergic Signaling Is Different between Individual Culture and Endothelial and Smooth Muscle Cell Coculture. BioMed Research International. 2014. 1–11. 10 indexed citations

Zippel, Nina, et al.. (2011). Purinergic Receptors Influence the Differentiation of Human Mesenchymal Stem Cells. Stem Cells and Development. 21(6). 884–900. 108 indexed citations

Zippel, Nina, et al.. (2009). Human dental follicle precursor cells of wisdom teeth: isolation and differentiation towards osteoblasts for implants with and without scaffolds. Materialwissenschaft und Werkstofftechnik. 40(10). 732–737. 14 indexed citations

Bens, Arthur Thomas, Hermann Seitz, Moritz Emons, et al.. (2007). Non‐toxic flexible photopolymers for medical stereolithography technology. Rapid Prototyping Journal. 13(1). 38–47. 40 indexed citations

10.

Bens, Arthur Thomas, Carsten Tille, Barbara Leukers, et al.. (2005). Mechanical Properties and Bioanalytical Characterization for a Novel Non-Toxic Flexible Photopolymer Formulation Class. Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences). 4 indexed citations

11.

Eickelberg, Oliver, Andreas Pansky, Eleonore Koehler, et al.. (2001). Molecular mechanisms of TGF‐β antagonism by interferon γ and cyclosporine A in lung fibroblasts. The FASEB Journal. 15(3). 797–806. 111 indexed citations

12.

Pansky, Andreas, Pius Hildebrand, Elizaveta Fasler‐Kan, et al.. (2000). Defective Jak-STAT signal transduction pathway in melanoma cells resistant to growth inhibition by interferon-?. International Journal of Cancer. 85(5). 720–725. 84 indexed citations

13.

Pansky, Andreas, Andreas de Weerth, Elizaveta Fasler‐Kan, et al.. (2000). Gastrin Releasing Peptide-Preferring Bombesin Receptors Mediate Growth of Human Renal Cell Carcinoma. Journal of the American Society of Nephrology. 11(8). 1409–1418. 43 indexed citations

14.

Hildebrand, Pius, Sylvia Ketterer, Andreas Pansky, et al.. (1999). A Combinatorial Peptoid Library for the Identification of Novel MSH and GRP / Bombesin Receptor Ligands. Journal of Receptors and Signal Transduction. 19(1-4). 449–466. 35 indexed citations

15.

Eickelberg, Oliver, Andreas Pansky, Rainer Mußmann, et al.. (1999). Transforming Growth Factor-β1 Induces Interleukin-6 Expression via Activating Protein-1 Consisting of JunD Homodimers in Primary Human Lung Fibroblasts. Journal of Biological Chemistry. 274(18). 12933–12938. 164 indexed citations

16.

Fasler‐Kan, Elizaveta, et al.. (1998). Interferon‐α activates signal transducers and activators of transcription 5 and 6 in Daudi cells. European Journal of Biochemistry. 254(3). 514–519. 60 indexed citations

17.

Pansky, Andreas, Marc O. Eberhard, Walter Siegrist, et al.. (1997). Identification of functional GRP‐preferring bombesin receptors on human melanoma cells. European Journal of Clinical Investigation. 27(1). 69–76. 14 indexed citations

18.

Dietrich, J, et al.. (1994). Effects of BIM26226, a potent and specific bombesin receptor antagonist, on amylase release and binding of bombesin-like peptides to AR4-2J cells. Regulatory Peptides. 53(3). 165–173. 16 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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