Wiebke Hirdes

810 total citations
9 papers, 693 citations indexed

About

Wiebke Hirdes is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wiebke Hirdes has authored 9 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wiebke Hirdes's work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Wiebke Hirdes is often cited by papers focused on Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Wiebke Hirdes collaborates with scholars based in Germany, United States and France. Wiebke Hirdes's co-authors include Lisa F. Horowitz, Bertil Hille, Byung‐Chang Suh, Ken Mackie, Donald W. Hilgemann, Jürgen R. Schwarz, Christiane K. Bauer, Dragoş Niculescu, Ulrich Boehm and Shuping Wen and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and The Journal of Physiology.

In The Last Decade

Wiebke Hirdes

9 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wiebke Hirdes Germany	9	503	341	127	82	69	9	693
Sami Hassan Germany	9	236 0.5×	219 0.6×	83 0.7×	50 0.6×	59 0.9×	10	509
Andrea Gerstner Germany	7	670 1.3×	463 1.4×	49 0.4×	90 1.1×	117 1.7×	7	815
Hua Wen United States	13	531 1.1×	355 1.0×	194 1.5×	72 0.9×	40 0.6×	23	667
Juan Manuel Arias Mexico	11	500 1.0×	350 1.0×	184 1.4×	23 0.3×	38 0.6×	17	595
Joseph F. Margiotta United States	21	802 1.6×	575 1.7×	52 0.4×	38 0.5×	36 0.5×	34	1.0k
Yoshimoto Kiyohara Japan	6	393 0.8×	181 0.5×	92 0.7×	170 2.1×	14 0.2×	7	714
Arthur W. Spira Canada	16	644 1.3×	417 1.2×	30 0.2×	85 1.0×	14 0.2×	34	901
Clinton J. Doering Canada	18	851 1.7×	603 1.8×	112 0.9×	53 0.6×	64 0.9×	25	986
Nicholas J. Willmott United Kingdom	10	346 0.7×	226 0.7×	34 0.3×	31 0.4×	169 2.4×	25	746

Countries citing papers authored by Wiebke Hirdes

Since Specialization

Citations

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

Fields of papers citing papers by Wiebke Hirdes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wiebke Hirdes

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

All Works

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9 of 9 papers shown

Hausrat, Torben J., Mary Muhia, Kimberly Gerrow, et al.. (2015). Radixin regulates synaptic GABAA receptor density and is essential for reversal learning and short-term memory. Nature Communications. 6(1). 6872–6872. 109 indexed citations

Niculescu, Dragoş, Wiebke Hirdes, Sönke Hornig, Olaf Pongs, & Jürgen R. Schwarz. (2013). Erg Potassium Currents of Neonatal Mouse Purkinje Cells Exhibit Fast Gating Kinetics and Are Inhibited by mGluR1 Activation. Journal of Neuroscience. 33(42). 16729–16740. 16 indexed citations

Hirdes, Wiebke, et al.. (2010). Gonadotropin-Releasing Hormone Inhibits Ether-a-Go-Go-Related Gene K+ Currents in Mouse Gonadotropes. Endocrinology. 151(3). 1079–1088. 8 indexed citations

Hirdes, Wiebke, et al.. (2009). Erg K+ currents modulate excitability in mouse mitral/tufted neurons. Pflügers Archiv - European Journal of Physiology. 459(1). 55–70. 25 indexed citations

Wen, Shuping, Jürgen R. Schwarz, Dragoş Niculescu, et al.. (2008). Functional Characterization of Genetically Labeled Gonadotropes. Endocrinology. 149(6). 2701–2711. 95 indexed citations

Hirdes, Wiebke, et al.. (2005). Fast erg K⁺ currents in rat embryonic serotonergic neurones. The Journal of Physiology. 564(1). 33–49. 33 indexed citations

Horowitz, Lisa F., Wiebke Hirdes, Byung‐Chang Suh, et al.. (2005). Phospholipase C in Living Cells. The Journal of General Physiology. 126(3). 243–262. 267 indexed citations

Suh, Byung‐Chang, Lisa F. Horowitz, Wiebke Hirdes, Ken Mackie, & Bertil Hille. (2004). Regulation of KCNQ2/KCNQ3 Current by G Protein Cycling. The Journal of General Physiology. 123(6). 663–683. 112 indexed citations

Hirdes, Wiebke, Lisa F. Horowitz, & Bertil Hille. (2004). Muscarinic modulation of erg potassium current. The Journal of Physiology. 559(1). 67–84. 28 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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