Mads P. G. Korsgaard

432 total citations
8 papers, 332 citations indexed

About

Mads P. G. Korsgaard is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mads P. G. Korsgaard has authored 8 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mads P. G. Korsgaard's work include Cardiac electrophysiology and arrhythmias (7 papers), Ion channel regulation and function (6 papers) and Neuroscience and Neural Engineering (4 papers). Mads P. G. Korsgaard is often cited by papers focused on Cardiac electrophysiology and arrhythmias (7 papers), Ion channel regulation and function (6 papers) and Neuroscience and Neural Engineering (4 papers). Mads P. G. Korsgaard collaborates with scholars based in Denmark, United Kingdom and United States. Mads P. G. Korsgaard's co-authors include Dorte Strøbæk, William D. Brown, Nawazish Mirza, Barbara P. Hartz, Philip K. Ahring, Morten Grunnet, Gorm Boje Jensen, Morten L. Bech, Niels J. Willumsen and Per Sjögren and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Clinical Pharmacology and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Mads P. G. Korsgaard

8 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mads P. G. Korsgaard Denmark 8 228 174 136 29 28 8 332
C. Quan United States 8 247 1.1× 183 1.1× 75 0.6× 12 0.4× 68 2.4× 9 352
P. Ionescu United States 5 100 0.4× 98 0.6× 60 0.4× 26 0.9× 12 0.4× 12 383
Faden Ai United States 9 129 0.6× 173 1.0× 54 0.4× 5 0.2× 68 2.4× 11 320
Dana Button United States 9 120 0.5× 54 0.3× 41 0.3× 5 0.2× 46 1.6× 14 318
Holaday Jw United States 10 148 0.6× 209 1.2× 55 0.4× 6 0.2× 68 2.4× 18 337
M. N. Levy United States 9 77 0.3× 52 0.3× 227 1.7× 17 0.6× 29 1.0× 15 330
Lilia E. Ziganshina Russia 10 109 0.5× 48 0.3× 53 0.4× 7 0.2× 41 1.5× 22 430
André Convents Belgium 15 275 1.2× 246 1.4× 20 0.1× 8 0.3× 50 1.8× 18 489
Kate Lansdell United Kingdom 8 235 1.0× 82 0.5× 135 1.0× 5 0.2× 18 0.6× 9 416
Youji Takeda Japan 10 161 0.7× 98 0.6× 196 1.4× 13 0.4× 32 1.1× 28 446

Countries citing papers authored by Mads P. G. Korsgaard

Since Specialization
Citations

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

Fields of papers citing papers by Mads P. G. Korsgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mads P. G. Korsgaard. 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 Mads P. G. Korsgaard. The network helps show where Mads P. G. Korsgaard may publish in the future.

Co-authorship network of co-authors of Mads P. G. Korsgaard

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

All Works

8 of 8 papers shown
1.
Nausch, Bernhard, Frederik Rode, Susanne Jørgensen, et al.. (2014). NS19504: A Novel BK Channel Activator with Relaxing Effect on Bladder Smooth Muscle Spontaneous Phasic Contractions. Journal of Pharmacology and Experimental Therapeutics. 350(3). 520–530. 18 indexed citations
2.
Jensen, Gorm Boje, et al.. (2008). Oxycodone is associated with dose‐dependent QTc prolongation in patients and low‐affinity inhibiting of hERG activity in vitro. British Journal of Clinical Pharmacology. 67(2). 172–179. 66 indexed citations
3.
Korsgaard, Mads P. G., Barbara P. Hartz, William D. Brown, et al.. (2005). Anxiolytic Effects of Maxipost (BMS-204352) and Retigabine via Activation of Neuronal Kv7 Channels. Journal of Pharmacology and Experimental Therapeutics. 314(1). 282–292. 111 indexed citations
4.
Krzywkowski, Karen, Søren Friis, Dirk Reuter, et al.. (2003). Upscaling and Automation of Electrophysiology: Toward High Throughput Screening in Ion Channel Drug Discovery. PubMed. 9(1). 49–58. 44 indexed citations
5.
Willumsen, Niels J., Morten L. Bech, Søren‐Peter Olesen, et al.. (2003). High Throughput Electrophysiology: New Perspectives for Ion Channel Drug Discovery. PubMed. 9(1). 3–12. 32 indexed citations
6.
Krzywkowski, Karen, Søren Friis, Dirk Reuter, et al.. (2003). Upscaling and Automation of Electrophysiology: Toward High Throughput Screening in Ion Channel Drug Discovery. 9(1). 49–58. 19 indexed citations
7.
Willumsen, Niels J., Morten L. Bech, Søren‐Peter Olesen, et al.. (2003). High Throughput Electrophysiology: New Perspectives for Ion Channel Drug Discovery. 9(1). 3–12. 21 indexed citations
8.
Harrison, Timothy, Mads P. G. Korsgaard, Christopher J. Swain, et al.. (1998). High affinity, selective neurokinin 2 and neurokinin 3 receptor antagonists from a common structural template. Bioorganic & Medicinal Chemistry Letters. 8(11). 1343–1348. 21 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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