Kerstin Dehne

1.2k total citations
16 papers, 890 citations indexed

About

Kerstin Dehne is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kerstin Dehne has authored 16 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kerstin Dehne's work include Diabetes Treatment and Management (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neuropeptides and Animal Physiology (4 papers). Kerstin Dehne is often cited by papers focused on Diabetes Treatment and Management (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neuropeptides and Animal Physiology (4 papers). Kerstin Dehne collaborates with scholars based in Germany, United States and United Kingdom. Kerstin Dehne's co-authors include Lisa M. Coussens, Ernst Lengyel, Manfred Schmitt, H. Graeff, Nadia Harbeck, Markus Gerhard, Ulla G. Knaus, Dieter Prechtel, Andreas Schnelzer and Wolfgang Schepp and has published in prestigious journals such as The Journal of Experimental Medicine, Gastroenterology and Molecular and Cellular Biology.

In The Last Decade

Kerstin Dehne

16 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kerstin Dehne Germany 11 471 295 170 147 121 16 890
Riccardo Chiusaroli United States 17 520 1.1× 244 0.8× 152 0.9× 115 0.8× 45 0.4× 22 898
Kari Vaahtomeri Finland 16 662 1.4× 482 1.6× 152 0.9× 189 1.3× 189 1.6× 21 1.2k
Prabakaran Kesavan United States 10 680 1.4× 275 0.9× 180 1.1× 227 1.5× 328 2.7× 15 969
Veerle Noë Belgium 8 611 1.3× 360 1.2× 338 2.0× 88 0.6× 105 0.9× 8 1.1k
Charlotte E. Edling United Kingdom 14 606 1.3× 273 0.9× 124 0.7× 136 0.9× 141 1.2× 32 1.0k
Chan Choi South Korea 19 633 1.3× 265 0.9× 227 1.3× 73 0.5× 68 0.6× 32 1.1k
Tomoko Tsuchiya Japan 17 471 1.0× 162 0.5× 94 0.6× 216 1.5× 44 0.4× 34 882
Luigi J.C. Jonk Netherlands 15 957 2.0× 195 0.7× 112 0.7× 137 0.9× 62 0.5× 17 1.2k
Li-Jyun Syu United States 16 629 1.3× 281 1.0× 99 0.6× 167 1.1× 192 1.6× 22 1.0k
Hyung‐Ok Lee United States 15 454 1.0× 520 1.8× 261 1.5× 131 0.9× 229 1.9× 27 1.1k

Countries citing papers authored by Kerstin Dehne

Since Specialization
Citations

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

Fields of papers citing papers by Kerstin Dehne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerstin Dehne

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

All Works

16 of 16 papers shown
1.
Dehne, Kerstin, Silvia Würstle, Josef Mautner, et al.. (2021). Automated, flow-based chemiluminescence microarray immunoassay for the rapid multiplex detection of IgG antibodies to SARS-CoV-2 in human serum and plasma (CoVRapid CL-MIA). Analytical and Bioanalytical Chemistry. 413(22). 5619–5632. 13 indexed citations
2.
Sounni, Nor Eddine, Kerstin Dehne, Léon C.L.T. van Kempen, et al.. (2010). Stromal regulation of vessel stability by MMP14 and TGFβ. Disease Models & Mechanisms. 3(5-6). 317–332. 74 indexed citations
3.
Daniel, Dylan, Nicole Meyer-Morse, Emily K. Bergsland, et al.. (2003). Immune Enhancement of Skin Carcinogenesis by CD4+ T Cells. The Journal of Experimental Medicine. 197(8). 1017–1028. 140 indexed citations
4.
Kempen, Léon C.L.T. van, Kerstin Dehne, Jake Lee, et al.. (2002). Epithelial carcinogenesis: dynamic interplay between neoplastic cells and their microenvironment. Differentiation. 70(9-10). 610–623. 67 indexed citations
5.
Gawaz, Meinrad, Kerstin Dehne, John F. Marshall, et al.. (2001). β3A-Integrin Downregulates the Urokinase-Type Plasminogen Activator Receptor (u-PAR) through aPEA3/ets Transcriptional Silencing Element in the u-PAR Promoter. Molecular and Cellular Biology. 21(6). 2118–2132. 44 indexed citations
6.
Schnelzer, Andreas, Dieter Prechtel, Ulla G. Knaus, et al.. (2000). Rac1 in human breast cancer: overexpression, mutation analysis, and characterization of a new isoform, Rac1b. Oncogene. 19(26). 3013–3020. 343 indexed citations
7.
Steinburg, S Pildner von, Kerstin Dehne, Valérie Planat‐Benard, et al.. (2000). Downregulation of a Mitogen-Activated Protein Kinase Signaling Pathway in the Placentas of Women With Preeclampsia. Obstetrics and Gynecology. 96(4). 582–587. 4 indexed citations
8.
Schröder, Helmut, et al.. (1999). Diffusive Transfer of Water and Glucose Across the Chorionic Plate of the Isolated Human Term Placenta. Placenta. 20(1). 59–63. 9 indexed citations
9.
Schepp, Wolfgang, et al.. (1998). Identification and functional importance of IL-1 receptors on rat parietal cells. American Journal of Physiology-Gastrointestinal and Liver Physiology. 275(5). G1094–G1105. 45 indexed citations
10.
Puschmann, Andreas, et al.. (1998). In purified rat parietal cells NF-κB is activated by proinflammatory cytokines and H2O2. Gastroenterology. 114. A1173–A1173. 1 indexed citations
12.
Schepp, Wolfgang, Thomas Riedel, Kerstin Dehne, et al.. (1994). Exendin-4 and exendin-(9–39)NH2: agonist and antagonist, respectively, at the rat parietal cell receptor for glucagon-like peptide-1-(7–36)NH2. European Journal of Pharmacology Molecular Pharmacology. 269(2). 183–191. 42 indexed citations
13.
Dehne, Kerstin, H.D. Allescher, V. Schusdziarra, et al.. (1994). Rat parietal cell receptors for GLP-1-(7-36) amide: northern blot, cross-linking, and radioligand binding. American Journal of Physiology-Gastrointestinal and Liver Physiology. 267(3). G423–G432. 37 indexed citations
14.
Dehne, Kerstin, et al.. (1994). Stimulation of rat parietal cell function by histamine and GLP-1-(7-36) amide is mediated by Gs alpha. American Journal of Physiology-Gastrointestinal and Liver Physiology. 266(5). G775–G782. 11 indexed citations
15.
Dehne, Kerstin, et al.. (1993). Pertussis toxin-sensitive inhibition of glucagon-like peptide 1-stimulated acid production by epidermal growth factor and transforming growth factor α in rat parietal cells. European Journal of Pharmacology Molecular Pharmacology. 246(1). 59–66. 4 indexed citations
16.
Schepp, Wolfgang, et al.. (1992). Pertussis toxin-sensitive and pertussis toxin-insensitive inhibition of parietal cell response to GLP-1 and histamine. American Journal of Physiology-Gastrointestinal and Liver Physiology. 262(4). G660–G668. 10 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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