Bae‐Yeun Ha

2.6k total citations
70 papers, 2.0k citations indexed

About

Bae‐Yeun Ha is a scholar working on Molecular Biology, Physical and Theoretical Chemistry and Biomedical Engineering. According to data from OpenAlex, Bae‐Yeun Ha has authored 70 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 27 papers in Physical and Theoretical Chemistry and 21 papers in Biomedical Engineering. Recurrent topics in Bae‐Yeun Ha's work include Electrostatics and Colloid Interactions (27 papers), Nanopore and Nanochannel Transport Studies (15 papers) and Lipid Membrane Structure and Behavior (15 papers). Bae‐Yeun Ha is often cited by papers focused on Electrostatics and Colloid Interactions (27 papers), Nanopore and Nanochannel Transport Studies (15 papers) and Lipid Membrane Structure and Behavior (15 papers). Bae‐Yeun Ha collaborates with scholars based in Canada, United States and South Korea. Bae‐Yeun Ha's co-authors include Andrea J. Liu, Youngkyun Jung, Suckjoon Jun, D. Thirumalai, D. Thirumalai, Sattar Taheri-Araghi, Hawoong Jeong, Axel Arnold, Conrad L. Woldringh and James F. Pelletier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Bae‐Yeun Ha

69 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bae‐Yeun Ha Canada 26 894 770 763 456 411 70 2.0k
Johan R. C. van der Maarel Singapore 33 1.3k 1.4× 635 0.8× 979 1.3× 534 1.2× 515 1.3× 118 3.0k
Toan T. Nguyen Vietnam 21 609 0.7× 1.1k 1.4× 948 1.2× 890 2.0× 513 1.2× 73 3.2k
Éric Raspaud France 26 1.1k 1.2× 521 0.7× 495 0.6× 383 0.8× 219 0.5× 43 2.2k
Ilya Koltover United States 16 2.8k 3.2× 423 0.5× 455 0.6× 325 0.7× 415 1.0× 26 3.7k
James T. Kindt United States 26 1.1k 1.2× 225 0.3× 487 0.6× 356 0.8× 795 1.9× 70 2.5k
Christoph G. Baumann United Kingdom 21 1.5k 1.6× 205 0.3× 399 0.5× 149 0.3× 356 0.9× 41 2.6k
Jan Forsman Sweden 29 401 0.4× 848 1.1× 668 0.9× 661 1.4× 503 1.2× 121 2.3k
Jure Dobnikar United Kingdom 23 428 0.5× 241 0.3× 523 0.7× 749 1.6× 287 0.7× 68 1.8k
Joseph W. F. Robertson United States 28 1.1k 1.3× 221 0.3× 1.8k 2.4× 441 1.0× 165 0.4× 57 2.8k
Matthias Wolf Japan 29 834 0.9× 135 0.2× 251 0.3× 572 1.3× 891 2.2× 64 2.7k

Countries citing papers authored by Bae‐Yeun Ha

Since Specialization
Citations

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

Fields of papers citing papers by Bae‐Yeun Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bae‐Yeun Ha. 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 Bae‐Yeun Ha. The network helps show where Bae‐Yeun Ha may publish in the future.

Co-authorship network of co-authors of Bae‐Yeun Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Bae‐Yeun Ha. A scholar is included among the top collaborators of Bae‐Yeun Ha 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 Bae‐Yeun Ha. Bae‐Yeun Ha 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.
Jung, Youngkyun, et al.. (2024). Modeling the compaction of bacterial chromosomes by biomolecular crowding and the cross-linking protein H-NS. Scientific Reports. 14(1). 139–139.
2.
Spencer, Russell K. W., Bae‐Yeun Ha, & Nima Saeidi. (2022). Self-consistent field theory of chiral nematic worm-like chains. The Journal of Chemical Physics. 156(11). 114902–114902. 2 indexed citations
3.
Jung, Youngkyun & Bae‐Yeun Ha. (2019). Confinement induces helical organization of chromosome-like polymers. Scientific Reports. 9(1). 869–869. 11 indexed citations
5.
Jung, Youngkyun, et al.. (2017). A ring-polymer model shows how macromolecular crowding controls chromosome-arm organization in Escherichia coli. Scientific Reports. 7(1). 11896–11896. 18 indexed citations
6.
Ha, Bae‐Yeun, et al.. (2017). Population Dynamics of Antimicrobial Peptide's Activity is Governed by their Retention in Dead Bacterial Cells. Biophysical Journal. 112(3). 185a–185a. 1 indexed citations
7.
Hyeon, Changbong, et al.. (2016). How are molecular crowding and the spatial organization of a biopolymer interrelated. Soft Matter. 12(48). 9786–9796. 14 indexed citations
8.
Jung, Youngkyun, et al.. (2016). Effects of molecular crowding and confinement on the spatial organization of a biopolymer. Soft Matter. 12(47). 9436–9450. 32 indexed citations
9.
Liu, Tracy, Juan Chen, Brian C. Wilson, et al.. (2014). Activation Kinetics of Zipper Molecular Beacons. The Journal of Physical Chemistry B. 119(1). 44–53. 8 indexed citations
10.
Ha, Bae‐Yeun & Sattar Taheri-Araghi. (2010). Cationic Antimicrobial Peptides: A Physical Basis For Their Selective Membrane-Disrupting Activity. Biophysical Journal. 98(3). 82a–82a. 8 indexed citations
11.
Jung, Youngkyun & Bae‐Yeun Ha. (2010). Overlapping two self-avoiding polymers in a closed cylindrical pore: Implications for chromosome segregation in a bacterial cell. Physical Review E. 82(5). 51926–51926. 26 indexed citations
12.
Jun, Suckjoon, D. Thirumalai, & Bae‐Yeun Ha. (2008). Compression and Stretching of a Self-Avoiding Chain in Cylindrical Nanopores. Physical Review Letters. 101(13). 138101–138101. 74 indexed citations
13.
Kohandel, Mohammad & Bae‐Yeun Ha. (2006). Thermal denaturation of double-stranded DNA: Effect of base stacking. Physical Review E. 73(1). 11905–11905. 8 indexed citations
14.
Sain, Anirban, Jeff Z. Y. Chen, & Bae‐Yeun Ha. (2006). Persistency of single-stranded DNA: The interplay between base sequences and base stacking. Physica A Statistical Mechanics and its Applications. 369(2). 679–687. 6 indexed citations
15.
Taheri-Araghi, Sattar & Bae‐Yeun Ha. (2005). Charge renormalization and inversion of a highly charged lipid bilayer: Effects of dielectric discontinuities and charge correlations. Physical Review E. 72(2). 21508–21508. 19 indexed citations
16.
Jun, Suckjoon, et al.. (2004). Self-Assembly of the Ionic Peptide EAK16: The Effect of Charge Distributions on Self-Assembly. Biophysical Journal. 87(2). 1249–1259. 94 indexed citations
17.
Sain, Anirban, Bae‐Yeun Ha, Heng‐Kwong Tsao, & Jeff Z. Y. Chen. (2004). Chain persistency in single-stranded DNA. Physical Review E. 69(6). 61913–61913. 11 indexed citations
18.
Ha, Bae‐Yeun. (2001). Stabilization and destabilization of cell membranes by multivalent ions. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(5). 51902–51902. 33 indexed citations
19.
Ha, Bae‐Yeun. (2001). Modes of counterion density fluctuations and counterion-mediated attractions between like-charged fluid membranes. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(3). 31507–31507. 18 indexed citations
20.
Ha, Bae‐Yeun & Andrea J. Liu. (1999). Counterion-mediated, non-pairwise-additive attractions in bundles of like-charged rods. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(1). 803–813. 48 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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