Simonas Masiulis

3.0k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Simonas Masiulis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Structural Biology. According to data from OpenAlex, Simonas Masiulis has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Structural Biology. Recurrent topics in Simonas Masiulis's work include Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Simonas Masiulis is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Simonas Masiulis collaborates with scholars based in United Kingdom, Netherlands and United States. Simonas Masiulis's co-authors include A.R. Aricescu, Jan Steyaert, Els Pardon, Keith W. Miller, Tomasz Uchański, Tomas Malinauskas, Rooma Desai, Duncan Laverty, Jasenko Zivanov and Itziar Serna Martin and has published in prestigious journals such as Nature, Nucleic Acids Research and Molecular Cell.

In The Last Decade

Simonas Masiulis

13 papers receiving 1.1k citations

Hit Papers

GABAA receptor signalling mechanisms revealed by structur... 2018 2026 2020 2023 2018 100 200 300
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.

  1. GABAA receptor signalling mechanisms revealed by structural pharmacology
    2018 399 citations Simonas Masiulis, Rooma Desai et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simonas Masiulis United Kingdom 9 799 560 66 64 60 14 1.1k
Rooma Desai United States 17 1.1k 1.4× 815 1.5× 32 0.5× 67 1.0× 87 1.4× 25 1.5k
Duncan Laverty United Kingdom 7 816 1.0× 585 1.0× 33 0.5× 26 0.4× 38 0.6× 8 1.0k
Tomasz Uchański Belgium 11 733 0.9× 380 0.7× 69 1.0× 38 0.6× 20 0.3× 15 1.0k
Jinfeng Teng United States 17 1.3k 1.6× 589 1.1× 22 0.3× 102 1.6× 61 1.0× 27 1.9k
Stephen G. Brohawn United States 21 1.8k 2.2× 603 1.1× 50 0.8× 61 1.0× 142 2.4× 36 2.5k
Colleen Noviello United States 19 1.5k 1.9× 611 1.1× 25 0.4× 157 2.5× 62 1.0× 24 2.3k
Alpay B. Seven United States 20 1.4k 1.7× 697 1.2× 24 0.4× 44 0.7× 17 0.3× 24 1.7k
Antoine Koehl United States 12 1.3k 1.6× 655 1.2× 38 0.6× 29 0.5× 12 0.2× 15 1.5k
Hugues Nury France 17 2.3k 2.9× 748 1.3× 46 0.7× 64 1.0× 12 0.2× 35 2.6k
Isabelle Baconguis United States 12 1.2k 1.5× 486 0.9× 27 0.4× 89 1.4× 31 0.5× 14 1.5k

Countries citing papers authored by Simonas Masiulis

Since Specialization
Citations

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

Fields of papers citing papers by Simonas Masiulis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simonas Masiulis

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

All Works

14 of 14 papers shown
1.
Arranz, Rocío, César Santiago, Simonas Masiulis, et al.. (2025). Elucidating the structure and assembly mechanism of actinoporin pores in complex membrane environments. Science Advances. 11(39). eadv0683–eadv0683.
2.
Comet, M, Patricia M. Dijkman, Simonas Masiulis, et al.. (2024). Tomo Live : an on-the-fly reconstruction pipeline to judge data quality for cryo-electron tomography workflows. Acta Crystallographica Section D Structural Biology. 80(4). 247–258. 3 indexed citations
3.
Sente, Andrija, Rooma Desai, Katerina Naydenova, et al.. (2022). Differential assembly diversifies GABAA receptor structures and signalling. Nature. 604(7904). 190–194. 56 indexed citations
4.
Stráner, Pál, Gitta Schlosser, Simonas Masiulis, et al.. (2022). A carbapenem antibiotic inhibiting a mammalian serine protease: structure of the acylaminoacyl peptidase–meropenem complex. Chemical Science. 13(48). 14264–14276. 3 indexed citations
5.
Uchański, Tomasz, Simonas Masiulis, Baptiste Fischer, et al.. (2021). Megabodies expand the nanobody toolkit for protein structure determination by single-particle cryo-EM. Nature Methods. 18(1). 60–68. 86 indexed citations
6.
Drulyte, Ieva, Xin Zhang, Rachel M. Johnson, et al.. (2021). Thermo Scientific™ Glacios Cryo-TEM: A Versatile 200 kV Tool for Structure-Based Drug Discovery. Microscopy and Microanalysis. 27(S1). 3256–3258. 2 indexed citations
7.
Bygrave, Alexei M., Simonas Masiulis, Dimitri M. Kullmann, David M. Bannerman, & Dennis Kätzel. (2019). Gene-Environment Interaction in a Conditional NMDAR-Knockout Model of Schizophrenia. Frontiers in Behavioral Neuroscience. 12. 332–332. 5 indexed citations
8.
Masiulis, Simonas, Rooma Desai, Tomasz Uchański, et al.. (2018). GABAA receptor signalling mechanisms revealed by structural pharmacology. Nature. 565(7740). 454–459. 399 indexed citations breakdown →
9.
Laverty, Duncan, Rooma Desai, Tomasz Uchański, et al.. (2018). Cryo-EM structure of the human α1β3γ2 GABAA receptor in a lipid bilayer. Nature. 565(7740). 516–520. 223 indexed citations
10.
Martin, Itziar Serna, Narin Hengrung, Max Renner, et al.. (2018). A Mechanism for the Activation of the Influenza Virus Transcriptase. Molecular Cell. 70(6). 1101–1110.e4. 43 indexed citations
11.
Miller, Paul S., Suzanne Scott, Simonas Masiulis, et al.. (2017). Structural basis for GABAA receptor potentiation by neurosteroids. Nature Structural & Molecular Biology. 24(11). 986–992. 137 indexed citations
12.
Bygrave, Alexei M., Simonas Masiulis, Elizabeth Nicholson, et al.. (2016). Knockout of NMDA-receptors from parvalbumin interneurons sensitizes to schizophrenia-related deficits induced by MK-801. Translational Psychiatry. 6(4). e778–e778. 84 indexed citations
13.
Corey, Robin A., William J. Allen, Simonas Masiulis, et al.. (2016). Unlocking the Bacterial SecY Translocon. Structure. 24(4). 518–527. 26 indexed citations
14.
Deniaud, Aurélien, Manikandan Karuppasamy, Thomas Bock, et al.. (2015). A network of SMG-8, SMG-9 and SMG-1 C-terminal insertion domain regulates UPF1 substrate recruitment and phosphorylation. Nucleic Acids Research. 43(15). 7600–7611. 46 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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