Gabriele E. Ackermann

1.3k total citations
16 papers, 575 citations indexed

About

Gabriele E. Ackermann is a scholar working on Molecular Biology, Physiology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Gabriele E. Ackermann has authored 16 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Gabriele E. Ackermann's work include Reproductive biology and impacts on aquatic species (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and S100 Proteins and Annexins (4 papers). Gabriele E. Ackermann is often cited by papers focused on Reproductive biology and impacts on aquatic species (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and S100 Proteins and Annexins (4 papers). Gabriele E. Ackermann collaborates with scholars based in Switzerland, United States and Germany. Gabriele E. Ackermann's co-authors include Claus W. Heizmann, Karl Fent, Arnaud Galichet, Julia Schwaiger, Marc J.‐F. Suter, Maija Pesonen, Beate I. Escher, Rik I.L. Eggen, Hans R. Aerni and Eva Brombacher and has published in prestigious journals such as Blood, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and American Journal of Physiology-Renal Physiology.

In The Last Decade

Gabriele E. Ackermann

15 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriele E. Ackermann Switzerland 11 220 218 188 123 56 16 575
Sara E. Wirbisky United States 10 197 0.9× 187 0.9× 131 0.7× 55 0.4× 28 0.5× 12 557
Naomi Matsumura Japan 11 370 1.7× 86 0.4× 362 1.9× 146 1.2× 69 1.2× 26 886
Catherine W. McCollum United States 13 255 1.2× 256 1.2× 90 0.5× 69 0.6× 119 2.1× 22 736
Ruiyi Xu China 16 168 0.8× 110 0.5× 73 0.4× 40 0.3× 28 0.5× 51 551
Inger Porsch-Hällström Sweden 14 123 0.6× 109 0.5× 173 0.9× 113 0.9× 69 1.2× 19 523
Julieta Werner Canada 11 156 0.7× 70 0.3× 62 0.3× 114 0.9× 30 0.5× 16 398
Vatsal Mehta United States 14 264 1.2× 252 1.2× 71 0.4× 31 0.3× 109 1.9× 24 824
Joseph T. Rogers Canada 7 308 1.4× 90 0.4× 118 0.6× 101 0.8× 29 0.5× 8 627
Svetlana Korzh Singapore 9 200 0.9× 310 1.4× 40 0.2× 26 0.2× 61 1.1× 10 743
James B. Hughes United States 13 81 0.4× 232 1.1× 34 0.2× 40 0.3× 26 0.5× 30 601

Countries citing papers authored by Gabriele E. Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele E. Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriele E. Ackermann. 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 Gabriele E. Ackermann. The network helps show where Gabriele E. Ackermann may publish in the future.

Co-authorship network of co-authors of Gabriele E. Ackermann

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele E. Ackermann. A scholar is included among the top collaborators of Gabriele E. Ackermann 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 Gabriele E. Ackermann. Gabriele E. Ackermann 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.
Dieterle, Thomas, et al.. (2020). Introduction of Sacubitril/Valsartan in Primary Care Follow-Up of Heart Failure: A Prospective Observational Study (THESEUS). ESC Heart Failure. 7(4). 1626–1634. 2 indexed citations
2.
Gusev, Konstantin, Gabriele E. Ackermann, Claus W. Heizmann, & Ernst Niggli. (2009). Ca2+ signaling in mouse cardiomyocytes with ablated S100A1 protein. General Physiology and Biophysics. 28(4). 371–383. 12 indexed citations
3.
Ackermann, Gabriele E., Andrea A. Domenighetti, Alexander Deten, et al.. (2008). S100A1 deficiency results in prolonged ventricular repolarization in response to sympathetic activation. PubMed. 27(2). 127–42. 13 indexed citations
4.
Heizmann, Claus W., Gabriele E. Ackermann, & Arnaud Galichet. (2007). Pathologies Involving the S100 Proteins and Rage. PubMed. 45. 93–138. 135 indexed citations
5.
Ackermann, Gabriele E., Ingo Marenholz, David P Wolfer, et al.. (2006). S100A1-deficient male mice exhibit increased exploratory activity and reduced anxiety-related responses. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1763(11). 1307–1319. 24 indexed citations
6.
Lee, You Mie, John J. Cope, Gabriele E. Ackermann, et al.. (2005). Vascular endothelial growth factor receptor signaling is required for cardiac valve formation in zebrafish. Developmental Dynamics. 235(1). 29–37. 45 indexed citations
7.
Shmukler, Boris E., Christine Kurschat, Gabriele E. Ackermann, et al.. (2005). Zebrafishslc4a2/ae2anion exchanger: cDNA cloning, mapping, functional characterization, and localization. American Journal of Physiology-Renal Physiology. 289(4). F835–F849. 29 indexed citations
8.
Paw, Barry H., George Shaw, John J. Cope, et al.. (2004). Frascati , a Mitochondrial Solute Transporter, and Its Role in Vertebrate Erythropoiesis.. Blood. 104(11). 49–49. 2 indexed citations
9.
Pesonen, Maija, Beate I. Escher, Gabriele E. Ackermann, et al.. (2004). Comparative analysis of estrogenic activity in sewage treatment plant effluents involving three in vitro assays and chemical analysis of steroids. Environmental Toxicology and Chemistry. 23(4). 857–864. 144 indexed citations
10.
Ackermann, Gabriele E., et al.. (2002). Effects of long-term nonylphenol exposure on gonadal development and biomarkers of estrogenicity in juvenile rainbow trout (Oncorhynchus mykiss). Aquatic Toxicology. 60(3-4). 203–221. 86 indexed citations
11.
Ackermann, Gabriele E., Eva Brombacher, & Karl Fent. (2002). Development of a fish reporter gene system for the assessment of estrogenic compounds and sewage treatment plant effluents. Environmental Toxicology and Chemistry. 21(9). 1864–1875. 50 indexed citations
12.
Ackermann, Gabriele E., et al.. (2002). DEVELOPMENT OF A FISH REPORTER GENE SYSTEM FOR THE ASSESSMENT OF ESTROGENIC COMPOUNDS AND SEWAGE TREATMENT PLANT EFFLUENTS. Environmental Toxicology and Chemistry. 21(9). 1864–1864. 1 indexed citations
13.
Fent, Karl, Gabriele E. Ackermann, & Julia Schwaiger. (2000). Long-term effects of nonylphenol on vitellogenin and zona radiata protein expression in juvenile rainbow trout. 2 indexed citations
14.
Fent, Karl, Gabriele E. Ackermann, & Julia Schwaiger. (2000). Analysis of vitellogenin mRNA by quantitive reverse transcription polymerase chain reaction (RT–PCR) in juvenile fish exposed for 12 months to nonylphenol. Marine Environmental Research. 50(1-5). 193–193. 4 indexed citations
15.
Ackermann, Gabriele E. & Karl Fent. (1998). The adaptation of the permanent fish cell lines PLHC-1 and RTG-2 to FCS-free media results in similar growth rates compared to FCS-containing conditions. Marine Environmental Research. 46(1-5). 363–367. 16 indexed citations
16.
Ackermann, Gabriele E., et al.. (1986). Pinocytosis and locomotion in amoebae XIV. Demonstration of two different receptor sites on the cell surface ofAmoeba proteus. PROTOPLASMA. 131(3). 233–243. 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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