Alexander J. Pak

2.9k total citations · 1 hit paper
44 papers, 2.2k citations indexed

About

Alexander J. Pak is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Alexander J. Pak has authored 44 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Materials Chemistry and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Alexander J. Pak's work include Supercapacitor Materials and Fabrication (14 papers), Advancements in Battery Materials (12 papers) and Protein Structure and Dynamics (11 papers). Alexander J. Pak is often cited by papers focused on Supercapacitor Materials and Fabrication (14 papers), Advancements in Battery Materials (12 papers) and Protein Structure and Dynamics (11 papers). Alexander J. Pak collaborates with scholars based in United States, Germany and United Kingdom. Alexander J. Pak's co-authors include Gyeong S. Hwang, Eunsu Paek, Gregory A. Voth, Jaehyeok Jin, Kyoung E. Kweon, Aleksander E. P. Durumeric, Alvin Yu, Timothy D. Loose, John A. G. Briggs and John M. A. Grime and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Alexander J. Pak

43 papers receiving 2.2k citations

Hit Papers

Bottom-up Coarse-Graining: Principles and Perspectives 2022 2026 2023 2024 2022 50 100 150

Peers

Alexander J. Pak
Alexander J. Pak
Citations per year, relative to Alexander J. Pak Alexander J. Pak (= 1×) peers Thirumaleshwara N. Bhat

Countries citing papers authored by Alexander J. Pak

Since Specialization
Citations

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

Fields of papers citing papers by Alexander J. Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander J. Pak

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander J. Pak. A scholar is included among the top collaborators of Alexander J. Pak 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 Alexander J. Pak. Alexander J. Pak 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.
Leigh, Kendra E., et al.. (2024). Architecture of the Sap S-layer of Bacillus anthracis revealed by integrative structural biology. Proceedings of the National Academy of Sciences. 121(51). e2415351121–e2415351121. 2 indexed citations
2.
Peng, Yuxing, Alexander J. Pak, Aleksander E. P. Durumeric, et al.. (2023). OpenMSCG: A Software Tool for Bottom-Up Coarse-Graining. The Journal of Physical Chemistry B. 127(40). 8537–8550. 31 indexed citations
3.
Nguyen, Van Son, Sander E. Van der Verren, Evy Timmerman, et al.. (2023). SlyB encapsulates outer membrane proteins in stress-induced lipid nanodomains. Nature. 626(7999). 617–625. 11 indexed citations
4.
Pak, Alexander J., Alvin Yu, Zunlong Ke, John A. G. Briggs, & Gregory A. Voth. (2022). Cooperative multivalent receptor binding promotes exposure of the SARS-CoV-2 fusion machinery core. Nature Communications. 13(1). 1002–1002. 35 indexed citations
5.
Kim, Siyoung, Jeeyun Chung, Henning Arlt, et al.. (2022). Seipin transmembrane segments critically function in triglyceride nucleation and lipid droplet budding from the membrane. eLife. 11. 40 indexed citations
6.
Jin, Jaehyeok, Alexander J. Pak, Aleksander E. P. Durumeric, Timothy D. Loose, & Gregory A. Voth. (2022). Bottom-up Coarse-Graining: Principles and Perspectives. Journal of Chemical Theory and Computation. 18(10). 5759–5791. 169 indexed citations breakdown →
7.
Pak, Alexander J., et al.. (2021). Immature HIV-1 assembles from Gag dimers leaving partial hexamers at lattice edges as potential substrates for proteolytic maturation. Proceedings of the National Academy of Sciences. 118(3). 31 indexed citations
8.
Jin, Jaehyeok, Yining Han, Alexander J. Pak, & Gregory A. Voth. (2021). A new one-site coarse-grained model for water: Bottom-up many-body projected water (BUMPer). I. General theory and model. The Journal of Chemical Physics. 154(4). 44104–44104. 24 indexed citations
9.
Yu, Alvin, Alexander J. Pak, Peng He, et al.. (2020). A multiscale coarse-grained model of the SARS-CoV-2 virion. Biophysical Journal. 120(6). 1097–1104. 116 indexed citations
10.
Pak, Alexander J., et al.. (2020). Lipid-Composition-Mediated Forces Can Stabilize Tubular Assemblies of I-BAR Proteins. Biophysical Journal. 120(1). 46–54. 17 indexed citations
11.
Flower, Thomas G., Yoshinori Takahashi, Arpa Hudait, et al.. (2020). A helical assembly of human ESCRT-I scaffolds reverse-topology membrane scission. Nature Structural & Molecular Biology. 27(6). 570–580. 43 indexed citations
12.
Yu, Alvin, Katarzyna Skorupka, Alexander J. Pak, et al.. (2020). TRIM5α self-assembly and compartmentalization of the HIV-1 viral capsid. Nature Communications. 11(1). 1307–1307. 55 indexed citations
13.
Tsai, Feng‐Ching, et al.. (2019). Unusual Organization of I-BAR Proteins on Tubular and Vesicular Membranes. Biophysical Journal. 117(3). 553–562. 23 indexed citations
14.
Pak, Alexander J. & Gregory A. Voth. (2018). Advances in coarse-grained modeling of macromolecular complexes. Current Opinion in Structural Biology. 52. 119–126. 104 indexed citations
15.
Pak, Alexander J., John M. A. Grime, Prabuddha Sengupta, et al.. (2017). Immature HIV-1 lattice assembly dynamics are regulated by scaffolding from nucleic acid and the plasma membrane. Proceedings of the National Academy of Sciences. 114(47). E10056–E10065. 69 indexed citations
16.
Pak, Alexander J., Eunsu Paek, & Gyeong S. Hwang. (2014). Correction: Relative contributions of quantum and double layer capacitance to the supercapacitor performance of carbon nanotubes in an ionic liquid. Physical Chemistry Chemical Physics. 16(37). 20248–20249. 37 indexed citations
17.
Paek, Eunsu, Alexander J. Pak, & Gyeong S. Hwang. (2014). Large Capacitance Enhancement Induced by Metal-Doping in Graphene-Based Supercapacitors: A First-Principles-Based Assessment. ACS Applied Materials & Interfaces. 6(15). 12168–12176. 39 indexed citations
18.
Pak, Alexander J., Eunsu Paek, & Gyeong S. Hwang. (2013). Relative contributions of quantum and double layer capacitance to the supercapacitor performance of carbon nanotubes in an ionic liquid. Physical Chemistry Chemical Physics. 15(45). 19741–19747. 78 indexed citations
19.
Pak, Alexander J., Eunsu Paek, & Gyeong S. Hwang. (2013). Tailoring the performance of graphene-based supercapacitors using topological defects: A theoretical assessment. Carbon. 68. 734–741. 86 indexed citations
20.
Ghobeity, Amin, et al.. (2012). Simultaneous optimization of size and short-term operation for an RO plant. Desalination. 301. 42–52. 20 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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