Martin Kurnik

929 total citations
20 papers, 735 citations indexed

About

Martin Kurnik is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Electrochemistry. According to data from OpenAlex, Martin Kurnik has authored 20 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Electrical and Electronic Engineering and 4 papers in Electrochemistry. Recurrent topics in Martin Kurnik's work include Molecular Junctions and Nanostructures (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Lipid Membrane Structure and Behavior (5 papers). Martin Kurnik is often cited by papers focused on Molecular Junctions and Nanostructures (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Lipid Membrane Structure and Behavior (5 papers). Martin Kurnik collaborates with scholars based in United States, Sweden and Spain. Martin Kurnik's co-authors include Kevin W. Plaxco, Mikael Oliveberg, Jens Danielsson, Gabriel Ortega, Netzahualcóyotl Arroyo‐Currás, Philippe Dauphin‐Ducharme, Lisa Lang, Tod E. Kippin, Kyle L. Ploense and Milan N. Stojanović and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Martin Kurnik

20 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Kurnik United States 12 526 227 205 148 116 20 735
Mitsunobu Nakamura Japan 21 852 1.6× 149 0.7× 95 0.5× 30 0.2× 30 0.3× 82 1.3k
Vasiliy N. Goral United States 14 401 0.8× 191 0.8× 714 3.5× 28 0.2× 64 0.6× 20 1.2k
Martina Banchelli Italy 20 444 0.8× 99 0.4× 223 1.1× 10 0.1× 24 0.2× 61 977
Matteo Staderini United Kingdom 15 248 0.5× 74 0.3× 117 0.6× 29 0.2× 23 0.2× 20 623
Katarzyna Kurzątkowska Poland 13 242 0.5× 146 0.6× 141 0.7× 90 0.6× 46 0.4× 22 458
Gary C. Jensen United States 8 532 1.0× 352 1.6× 446 2.2× 146 1.0× 76 0.7× 16 862
Masao Kamahori Japan 16 344 0.7× 292 1.3× 345 1.7× 100 0.7× 295 2.5× 39 743
S. J. GOULD United States 10 945 1.8× 182 0.8× 50 0.2× 42 0.3× 91 0.8× 18 1.3k

Countries citing papers authored by Martin Kurnik

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kurnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kurnik

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kurnik. A scholar is included among the top collaborators of Martin Kurnik 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 Martin Kurnik. Martin Kurnik 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.
Padilla, Marshall S., Sarah J. Shepherd, Martin Kurnik, et al.. (2025). Elucidating lipid nanoparticle properties and structure through biophysical analyses. Nature Biotechnology. 1 indexed citations
2.
Kurnik, Martin, et al.. (2023). High fidelity DNA strand-separation is the major specificity determinant in DNA methyltransferase CcrM’s catalytic mechanism. Nucleic Acids Research. 51(13). 6883–6898. 2 indexed citations
3.
Leung, Kaylyn K., Alex Downs, Gabriel Ortega, Martin Kurnik, & Kevin W. Plaxco. (2021). Elucidating the Mechanisms Underlying the Signal Drift of Electrochemical Aptamer-Based Sensors in Whole Blood. ACS Sensors. 6(9). 3340–3347. 101 indexed citations
4.
Kurnik, Martin, et al.. (2020). An Electrochemical Biosensor Architecture Based on Protein Folding Supports Direct Real‐Time Measurements in Whole Blood. Angewandte Chemie. 132(42). 18600–18603. 4 indexed citations
5.
Ortega, Gabriel, et al.. (2020). Attachment of Proteins to a Hydroxyl-Terminated Surface Eliminates the Stabilizing Effects of Polyols. Journal of the American Chemical Society. 142(36). 15349–15354. 5 indexed citations
6.
Kurnik, Martin, et al.. (2020). An Electrochemical Biosensor Architecture Based on Protein Folding Supports Direct Real‐Time Measurements in Whole Blood. Angewandte Chemie International Edition. 59(42). 18442–18445. 34 indexed citations
7.
Dauphin‐Ducharme, Philippe, Kyung-Ae Yang, Netzahualcóyotl Arroyo‐Currás, et al.. (2019). Electrochemical Aptamer-Based Sensors for Improved Therapeutic Drug Monitoring and High-Precision, Feedback-Controlled Drug Delivery. ACS Sensors. 4(10). 2832–2837. 201 indexed citations
8.
Kurnik, Martin, et al.. (2019). An electrochemical scaffold sensor for rapid syphilis diagnosis. The Analyst. 144(17). 5277–5283. 14 indexed citations
9.
Ploense, Kyle L., Martin Kurnik, Gabriel Ortega, et al.. (2019). Open Source Software for the Real-Time Control, Processing, and Visualization of High-Volume Electrochemical Data. Analytical Chemistry. 91(19). 12321–12328. 45 indexed citations
10.
Ortega, Gabriel, Martin Kurnik, Philippe Dauphin‐Ducharme, et al.. (2018). Surface Attachment Enhances the Thermodynamic Stability of Protein L. Angewandte Chemie International Edition. 58(6). 1714–1718. 10 indexed citations
11.
Ortega, Gabriel, Martin Kurnik, Philippe Dauphin‐Ducharme, et al.. (2018). Surface Attachment Enhances the Thermodynamic Stability of Protein L. Angewandte Chemie. 131(6). 1728–1732. 1 indexed citations
12.
Reich, Norbert O., et al.. (2018). The highly specific, cell cycle–regulated methyltransferase from Caulobacter crescentus relies on a novel DNA recognition mechanism. Journal of Biological Chemistry. 293(49). 19038–19046. 8 indexed citations
13.
Kurnik, Martin, et al.. (2018). Quantitative measurements of protein−surface interaction thermodynamics. Proceedings of the National Academy of Sciences. 115(33). 8352–8357. 20 indexed citations
14.
Dauphin‐Ducharme, Philippe, Netzahualcóyotl Arroyo‐Currás, Martin Kurnik, et al.. (2017). Simulation-Based Approach to Determining Electron Transfer Rates Using Square-Wave Voltammetry. Langmuir. 33(18). 4407–4413. 55 indexed citations
15.
Kang, Di, Sheng Sun, Martin Kurnik, et al.. (2017). New Architecture for Reagentless, Protein-Based Electrochemical Biosensors. Journal of the American Chemical Society. 139(35). 12113–12116. 32 indexed citations
16.
17.
Danielsson, Jens, Wael Awad, K. Saraboji, et al.. (2013). Global structural motions from the strain of a single hydrogen bond. Proceedings of the National Academy of Sciences. 110(10). 3829–3834. 34 indexed citations
18.
Kurnik, Martin, et al.. (2012). Folding without charges. Proceedings of the National Academy of Sciences. 109(15). 5705–5710. 49 indexed citations
19.
Lang, Lisa, Martin Kurnik, Jens Danielsson, & Mikael Oliveberg. (2012). Fibrillation precursor of superoxide dismutase 1 revealed by gradual tuning of the protein-folding equilibrium. Proceedings of the National Academy of Sciences. 109(44). 17868–17873. 65 indexed citations
20.
Danielsson, Jens, Martin Kurnik, Lisa Lang, & Mikael Oliveberg. (2011). Cutting Off Functional Loops from Homodimeric Enzyme Superoxide Dismutase 1 (SOD1) Leaves Monomeric β-Barrels. Journal of Biological Chemistry. 286(38). 33070–33083. 47 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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