Stephan A. Pless

2.1k total citations
61 papers, 1.5k citations indexed

About

Stephan A. Pless is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stephan A. Pless has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Stephan A. Pless's work include Ion channel regulation and function (41 papers), Nicotinic Acetylcholine Receptors Study (19 papers) and Neuroscience and Neuropharmacology Research (13 papers). Stephan A. Pless is often cited by papers focused on Ion channel regulation and function (41 papers), Nicotinic Acetylcholine Receptors Study (19 papers) and Neuroscience and Neuropharmacology Research (13 papers). Stephan A. Pless collaborates with scholars based in Denmark, United States and Canada. Stephan A. Pless's co-authors include Christopher A. Ahern, Joseph W. Lynch, Jason D. Galpin, Timothy Lynagh, Harley T. Kurata, Ana Nićiforović, Henry A. Lester, Adam Frankel, Han Chow Chua and Mohammed Dibas and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Stephan A. Pless

60 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan A. Pless Denmark 24 1.2k 563 288 119 78 61 1.5k
Sudha Chakrapani United States 23 1.8k 1.4× 753 1.3× 343 1.2× 172 1.4× 42 0.5× 45 2.1k
Huaizong Shen China 11 1.8k 1.4× 705 1.3× 631 2.2× 98 0.8× 58 0.7× 19 2.0k
Montserrat Samsó United States 24 1.5k 1.2× 287 0.5× 649 2.3× 128 1.1× 34 0.4× 56 1.8k
Tamer M. Gamal El-Din United States 19 1.7k 1.4× 939 1.7× 610 2.1× 127 1.1× 45 0.6× 42 2.0k
Gaoxingyu Huang China 24 1.9k 1.5× 490 0.9× 452 1.6× 50 0.4× 41 0.5× 35 2.2k
Jens A. Lundbæk Denmark 17 1.7k 1.4× 555 1.0× 122 0.4× 136 1.1× 63 0.8× 27 2.1k
Zhangqiang Li China 16 2.2k 1.8× 888 1.6× 783 2.7× 139 1.2× 53 0.7× 21 2.5k
Roderick MacKinnon United States 7 1.3k 1.1× 622 1.1× 534 1.9× 66 0.6× 57 0.7× 7 1.6k
István Jóna Hungary 21 1.4k 1.1× 491 0.9× 584 2.0× 164 1.4× 35 0.4× 55 1.8k

Countries citing papers authored by Stephan A. Pless

Since Specialization
Citations

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

Fields of papers citing papers by Stephan A. Pless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephan A. Pless. 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 Stephan A. Pless. The network helps show where Stephan A. Pless may publish in the future.

Co-authorship network of co-authors of Stephan A. Pless

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

All Works

20 of 20 papers shown
1.
Christensen, Nynne M., Mette H. Poulsen, Astrid Z. Johansen, et al.. (2024). Human P2X7 receptor variants Gly150Arg and Arg276His polymorphisms have differential effects on risk association and cellular functions in pancreatic cancer. Cancer Cell International. 24(1). 148–148. 5 indexed citations
2.
Usher, Samuel, et al.. (2024). Unplugging lateral fenestrations of NALCN reveals a hidden drug binding site within the pore region. Proceedings of the National Academy of Sciences. 121(22). e2401591121–e2401591121. 2 indexed citations
3.
4.
Massotte, Laurent, Han Chow Chua, Stephan A. Pless, et al.. (2021). The gating pore blocker 1-(2,4-xylyl)guanidinium selectively inhibits pacemaking of midbrain dopaminergic neurons. Neuropharmacology. 197. 108722–108722. 3 indexed citations
5.
Friis, Søren, et al.. (2021). High-throughput characterization of photocrosslinker-bearing ion channel variants to map residues critical for function and pharmacology. PLoS Biology. 19(9). e3001321–e3001321. 13 indexed citations
6.
Harms, Hendrik J., et al.. (2021). Functional cross-talk between phosphorylation and disease-causing mutations in the cardiac sodium channel Na v 1.5. Proceedings of the National Academy of Sciences. 118(33). 13 indexed citations
7.
Friis, Søren, et al.. (2021). The M1 and pre-M1 segments contribute differently to ion selectivity in ASICs and ENaCs. The Journal of General Physiology. 153(10). 7 indexed citations
8.
Pless, Stephan A., et al.. (2021). Acid-sensing ion channels as potential therapeutic targets. Trends in Pharmacological Sciences. 42(12). 1035–1050. 30 indexed citations
9.
Lynagh, Timothy, et al.. (2020). Determinants of ion selectivity in ASIC1a- and ASIC2a-containing acid-sensing ion channels. The Journal of General Physiology. 152(2). 11 indexed citations
10.
Tian, Weihua, Linda M. Haugaard‐Kedström, Eric Bennett, et al.. (2020). Mechanism and site of action of big dynorphin on ASIC1a. Proceedings of the National Academy of Sciences. 117(13). 7447–7454. 32 indexed citations
11.
Kschonsak, Marc, Han Chow Chua, Cameron L. Noland, et al.. (2020). Structure of the human sodium leak channel NALCN. Nature. 587(7833). 313–318. 38 indexed citations
12.
Pless, Stephan A., et al.. (2020). The current chemical biology tool box for studying ion channels. The Journal of Physiology. 598(20). 4455–4471. 8 indexed citations
13.
Lynagh, Timothy, Stephan Kiontke, Anders Christiansen, et al.. (2020). Peptide Inhibitors of the α-Cobratoxin–Nicotinic Acetylcholine Receptor Interaction. Journal of Medicinal Chemistry. 63(22). 13709–13718. 18 indexed citations
14.
Gasparri, Federica, Jesper Wengel, Thomas Grütter, & Stephan A. Pless. (2019). Molecular determinants for agonist recognition and discrimination in P2X2 receptors. The Journal of General Physiology. 151(7). 898–911. 7 indexed citations
15.
Li, Jingru, et al.. (2018). One drug-sensitive subunit is sufficient for a near-maximal retigabine effect in KCNQ channels. The Journal of General Physiology. 150(10). 1421–1431. 10 indexed citations
16.
Yang, Runying, et al.. (2018). Four drug-sensitive subunits are required for maximal effect of a voltage sensor–targeted KCNQ opener. The Journal of General Physiology. 150(10). 1432–1443. 16 indexed citations
17.
Lynagh, Timothy, et al.. (2018). Acid-sensing ion channels emerged over 600 Mya and are conserved throughout the deuterostomes. Proceedings of the National Academy of Sciences. 115(33). 8430–8435. 44 indexed citations
18.
Pless, Stephan A., et al.. (2018). Investigation of Agonist Recognition and Channel Properties in a Flatworm Glutamate-Gated Chloride Channel. Biochemistry. 57(8). 1360–1368. 3 indexed citations
19.
Lynagh, Timothy, et al.. (2017). A selectivity filter at the intracellular end of the acid-sensing ion channel pore. eLife. 6. 54 indexed citations
20.
Pless, Stephan A., et al.. (2011). The Quaternary Lidocaine Derivative, QX-314, Exerts Biphasic Effects on Transient Receptor Potential Vanilloid Subtype 1 Channels In Vitro . Anesthesiology. 114(6). 1425–1434. 25 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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