Mark J. Arcario

804 total citations
18 papers, 578 citations indexed

About

Mark J. Arcario is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Mark J. Arcario has authored 18 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Spectroscopy. Recurrent topics in Mark J. Arcario's work include Lipid Membrane Structure and Behavior (12 papers), Protein Structure and Dynamics (5 papers) and Force Microscopy Techniques and Applications (2 papers). Mark J. Arcario is often cited by papers focused on Lipid Membrane Structure and Behavior (12 papers), Protein Structure and Dynamics (5 papers) and Force Microscopy Techniques and Applications (2 papers). Mark J. Arcario collaborates with scholars based in United States and Bulgaria. Mark J. Arcario's co-authors include Emad Tajkhorshid, Taras V. Pogorelov, Y. Zenmei Ohkubo, Josh V. Vermaas, Geoff A. Christensen, Christopher G. Mayne, Javier L. Baylon, Mélanie Müller, Rebecca L. Davis-Harrison and Mary C. Clay and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Physical Chemistry B.

In The Last Decade

Mark J. Arcario

18 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Arcario United States 13 454 92 76 65 62 18 578
Jesper J. Madsen United States 15 426 0.9× 64 0.7× 24 0.3× 76 1.2× 21 0.3× 45 591
Nick Menhart United States 16 460 1.0× 24 0.3× 80 1.1× 57 0.9× 116 1.9× 34 657
Nicholas Y. Palermo United States 11 406 0.9× 77 0.8× 127 1.7× 28 0.4× 51 0.8× 26 650
Gabriel E. Weinreb United States 12 254 0.6× 47 0.5× 98 1.3× 128 2.0× 55 0.9× 19 464
Neelan J. Marianayagam United States 9 458 1.0× 70 0.8× 56 0.7× 11 0.2× 26 0.4× 53 750
Y. Zenmei Ohkubo United States 14 528 1.2× 106 1.2× 67 0.9× 220 3.4× 82 1.3× 29 865
Anthony Popowicz United States 14 349 0.8× 26 0.3× 137 1.8× 37 0.6× 42 0.7× 31 611
Sonia Bañuelos Spain 17 593 1.3× 28 0.3× 97 1.3× 51 0.8× 43 0.7× 29 703
Koichiro M. Hirosawa Japan 12 505 1.1× 63 0.7× 107 1.4× 11 0.2× 78 1.3× 38 648
Žofie Sovová Czechia 10 285 0.6× 45 0.5× 16 0.2× 36 0.6× 17 0.3× 17 405

Countries citing papers authored by Mark J. Arcario

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Arcario

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Arcario. 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 Mark J. Arcario. The network helps show where Mark J. Arcario may publish in the future.

Co-authorship network of co-authors of Mark J. Arcario

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

All Works

18 of 18 papers shown
1.
Dalal, Vikram L., Mark J. Arcario, John T. Petroff, et al.. (2024). Lipid nanodisc scaffold and size alter the structure of a pentameric ligand-gated ion channel. Nature Communications. 15(1). 25–25. 30 indexed citations
2.
Cheng, Wayland W.L., Mark J. Arcario, & John T. Petroff. (2022). Druggable Lipid Binding Sites in Pentameric Ligand-Gated Ion Channels and Transient Receptor Potential Channels. Frontiers in Physiology. 12. 798102–798102. 15 indexed citations
3.
Emmert, Daniel A., et al.. (2022). Frailty and cardiac surgery: to operate or not?. PubMed. 35(1). 53–59. 3 indexed citations
4.
Emmert, Daniel A., et al.. (2021). Frailty and cardiac surgery: to operate or not?. Current Opinion in Anaesthesiology. 35(1). 53–59. 4 indexed citations
5.
Arcario, Mark J., et al.. (2020). Sinus of Valsalva Aneurysms: A Review with Perioperative Considerations. Journal of Cardiothoracic and Vascular Anesthesia. 35(11). 3340–3349. 7 indexed citations
6.
Arcario, Mark J., Christopher G. Mayne, & Emad Tajkhorshid. (2017). A membrane-embedded pathway delivers general anesthetics to two interacting binding sites in the Gloeobacter violaceus ion channel. Journal of Biological Chemistry. 292(23). 9480–9492. 17 indexed citations
7.
Baylon, Javier L., Josh V. Vermaas, Mélanie Müller, et al.. (2016). Atomic-level description of protein–lipid interactions using an accelerated membrane model. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1858(7). 1573–1583. 43 indexed citations
8.
Mayne, Christopher G., Mark J. Arcario, Paween Mahinthichaichan, et al.. (2016). The cellular membrane as a mediator for small molecule interaction with membrane proteins. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1858(10). 2290–2304. 35 indexed citations
9.
Vermaas, Josh V., Javier L. Baylon, Mark J. Arcario, et al.. (2015). Efficient Exploration of Membrane-Associated Phenomena at Atomic Resolution. The Journal of Membrane Biology. 248(3). 563–582. 31 indexed citations
10.
Blanchard, Andrew E., Mark J. Arcario, Klaus Schulten, & Emad Tajkhorshid. (2014). A Highly Tilted Membrane Configuration for the Prefusion State of Synaptobrevin. Biophysical Journal. 107(9). 2112–2121. 32 indexed citations
11.
Arcario, Mark J. & Emad Tajkhorshid. (2014). Membrane-Induced Structural Rearrangement and Identification of a Novel Membrane Anchor in Talin F2F3. Biophysical Journal. 107(9). 2059–2069. 37 indexed citations
12.
Arcario, Mark J., Christopher G. Mayne, & Emad Tajkhorshid. (2014). Atomistic Models of General Anesthetics for Use in in Silico Biological Studies. The Journal of Physical Chemistry B. 118(42). 12075–12086. 28 indexed citations
13.
Pogorelov, Taras V., Josh V. Vermaas, Mark J. Arcario, & Emad Tajkhorshid. (2014). Partitioning of Amino Acids into a Model Membrane: Capturing the Interface. The Journal of Physical Chemistry B. 118(6). 1481–1492. 53 indexed citations
14.
Arcario, Mark J. & Emad Tajkhorshid. (2012). Capturing Spontaneous Membrane Insertion and Membrane-Induced Conformational Changes of Talin at an Atomic Resolution. Biophysical Journal. 102(3). 301a–301a. 1 indexed citations
15.
Ohkubo, Y. Zenmei, Taras V. Pogorelov, Mark J. Arcario, Geoff A. Christensen, & Emad Tajkhorshid. (2012). Accelerating Membrane Insertion of Peripheral Proteins with a Novel Membrane Mimetic Model. Biophysical Journal. 102(9). 2130–2139. 117 indexed citations
16.
Davis-Harrison, Rebecca L., Taras V. Pogorelov, Y. Zenmei Ohkubo, et al.. (2011). Molecular Determinants of Phospholipid Synergy in Blood Clotting. Journal of Biological Chemistry. 286(26). 23247–23253. 90 indexed citations
17.
Pogorelov, Taras V., Y. Zenmei Ohkubo, Mark J. Arcario, & Emad Tajkhorshid. (2011). Charachterizing Structure and Dynamics of Calcium-Induced Clusters of Phosphatidylserine in Mixed Lipid Bilayers. Biophysical Journal. 100(3). 172a–172a. 1 indexed citations
18.
Arcario, Mark J., Y. Zenmei Ohkubo, & Emad Tajkhorshid. (2011). Capturing Spontaneous Partitioning of Peripheral Proteins Using a Biphasic Membrane-Mimetic Model. The Journal of Physical Chemistry B. 115(21). 7029–7037. 34 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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