Audrius Laurynėnas

574 total citations · 1 hit paper
14 papers, 351 citations indexed

About

Audrius Laurynėnas is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, Audrius Laurynėnas has authored 14 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Electrical and Electronic Engineering and 3 papers in Organic Chemistry. Recurrent topics in Audrius Laurynėnas's work include Electrochemical sensors and biosensors (4 papers), Electrochemical Analysis and Applications (3 papers) and Enzyme Catalysis and Immobilization (3 papers). Audrius Laurynėnas is often cited by papers focused on Electrochemical sensors and biosensors (4 papers), Electrochemical Analysis and Applications (3 papers) and Enzyme Catalysis and Immobilization (3 papers). Audrius Laurynėnas collaborates with scholars based in Lithuania, Sweden and Belarus. Audrius Laurynėnas's co-authors include Rolandas Meškys, Simona Povilonienė, Otto Savolainen, Elzbieta Rembeza, Sandra Viknander, Jan Zrimec, Vykintas Jauniškis, Martin K. M. Engqvist, Aleksej Zelezniak and Juozas Kulys and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Energy & Environmental Science.

In The Last Decade

Audrius Laurynėnas

14 papers receiving 339 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Expanding functional protein sequence spaces using generative adversarial networks

2021 202 citations Vykintas Jauniškis, Elzbieta Rembeza et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Audrius Laurynėnas Lithuania	6	230	87	58	43	27	14	351
Matthew A. Spence Australia	10	226 1.0×	93 1.1×	11 0.2×	43 1.0×	11 0.4×	25	456
Yuling Sheng China	8	169 0.7×	27 0.3×	27 0.5×	18 0.4×	13 0.5×	15	295
Yangbo Wu China	11	175 0.8×	120 1.4×	72 1.2×	45 1.0×	42 1.6×	39	339
Ge Xue China	9	177 0.8×	55 0.6×	11 0.2×	72 1.7×	10 0.4×	24	331
Ngoc Le United States	8	183 0.8×	32 0.4×	14 0.2×	110 2.6×	23 0.9×	10	392
Hong‐Ming Yang China	12	251 1.1×	38 0.4×	13 0.2×	49 1.1×	12 0.4×	29	354
Paola Ruiz Puentes Colombia	10	144 0.6×	37 0.4×	9 0.2×	39 0.9×	4 0.1×	17	278
Dhanuka P. Wasalathanthri United States	13	480 2.1×	116 1.3×	88 1.5×	55 1.3×	8 0.3×	18	661
Bach Pham Vietnam	10	172 0.7×	36 0.4×	8 0.1×	48 1.1×	7 0.3×	26	294
Brahm J. Yachnin Canada	10	353 1.5×	18 0.2×	6 0.1×	73 1.7×	11 0.4×	14	433

Countries citing papers authored by Audrius Laurynėnas

Since Specialization

Citations

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

Fields of papers citing papers by Audrius Laurynėnas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audrius Laurynėnas

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

All Works

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14 of 14 papers shown

Laurynėnas, Audrius, et al.. (2024). RudS: bacterial desulfidase responsible for tRNA 4-thiouridine de-modification. Nucleic Acids Research. 52(17). 10543–10562. 5 indexed citations

Laurynėnas, Audrius, et al.. (2023). Insights into the Alcyoneusvirus Adsorption Complex. International Journal of Molecular Sciences. 24(11). 9320–9320. 3 indexed citations

Časaitė, Vida, et al.. (2022). Efficient Bi-enzymatic synthesis of aldonic acids. Green Chemistry. 24(12). 4902–4908. 4 indexed citations

Jauniškis, Vykintas, Elzbieta Rembeza, Jan Zrimec, et al.. (2021). Expanding functional protein sequence spaces using generative adversarial networks. Nature Machine Intelligence. 3(4). 324–333. 202 indexed citations breakdown →

Laurynėnas, Audrius, et al.. (2020). YqfB protein from Escherichia coli: an atypical amidohydrolase active towards N4-acylcytosine derivatives. Scientific Reports. 10(1). 788–788. 15 indexed citations

Laurynėnas, Audrius, et al.. (2020). A Rapid Method for the Selection of Amidohydrolases from Metagenomic Libraries by Applying Synthetic Nucleosides and a Uridine Auxotrophic Host. Catalysts. 10(4). 445–445. 4 indexed citations

Laurynėnas, Audrius, et al.. (2019). Consecutive Marcus Electron and Proton Transfer in Heme Peroxidase Compound II-Catalysed Oxidation Revealed by Arrhenius Plots. Scientific Reports. 9(1). 14092–14092. 3 indexed citations

Meškys, Rolandas, et al.. (2019). Gold-coated magnetic nanocatalyst containing wired oxidoreductases for mediatorless catalysis of carbohydrate oxidation by oxygen. Catalysis Communications. 135. 105848–105848. 3 indexed citations

Ratautas, Dalius, et al.. (2016). High current, low redox potential mediatorless bioanode based on gold nanoparticles and glucose dehydrogenase from Ewingella americana. Electrochimica Acta. 199. 254–260. 25 indexed citations

10.

Laurynėnas, Audrius, Dalius Ratautas, Juozas Kulys, et al.. (2016). Oxygen electroreduction catalysed by laccase wired to gold nanoparticles via the trinuclear copper cluster. Energy & Environmental Science. 10(2). 498–502. 73 indexed citations

11.

Laurynėnas, Audrius & Juozas Kulys. (2015). An exhaustive search approach for chemical kinetics experimental data fitting, rate constants optimization and confidence interval estimation. Nonlinear Analysis Modelling and Control. 20(1). 145–157. 2 indexed citations

12.

Laurynėnas, Audrius, et al.. (2015). New 1-(3-Nitrophenyl)-5,6-dihydro-4H-[1,2,4]triazolo[4,3-a][1,5]benzodiazepines: Synthesis and Computational Study. Molecules. 20(4). 5392–5408. 4 indexed citations

13.

Šarlauskas, Jonas, Audronè Maroziené, Kastis Krikštopaitis, et al.. (2014). The Study of NADPH-Dependent Flavoenzyme-Catalyzed Reduction of Benzo[1,2-c]1,2,5-oxadiazole N-Oxides (Benzofuroxans). International Journal of Molecular Sciences. 15(12). 23307–23331. 6 indexed citations

14.

Laurynėnas, Audrius, et al.. (2010). The influence of bounding surface on the precision of the Cauchy–Crofton method. SHILAP Revista de lepidopterología. 51. 2 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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