Jongsuk Hong

893 total citations
33 papers, 593 citations indexed

About

Jongsuk Hong is a scholar working on Astronomy and Astrophysics, Instrumentation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jongsuk Hong has authored 33 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Astronomy and Astrophysics, 13 papers in Instrumentation and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jongsuk Hong's work include Stellar, planetary, and galactic studies (28 papers), Astrophysics and Star Formation Studies (23 papers) and Astronomy and Astrophysical Research (13 papers). Jongsuk Hong is often cited by papers focused on Stellar, planetary, and galactic studies (28 papers), Astrophysics and Star Formation Studies (23 papers) and Astronomy and Astrophysical Research (13 papers). Jongsuk Hong collaborates with scholars based in United States, South Korea and China. Jongsuk Hong's co-authors include Enrico Vesperini, Mirek Giersz, Hyung Mok Lee, Arkadiusz Hypki, Abbas Askar, F. D’Antona, Rainer Spurzem, A. D’Ercole, Jeremy J. Webb and G. Piotto and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Jongsuk Hong

32 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jongsuk Hong United States 16 563 250 25 17 6 33 593
Arkadiusz Hypki Poland 13 671 1.2× 165 0.7× 30 1.2× 34 2.0× 8 1.3× 26 699
Hong Soo Park South Korea 14 501 0.9× 277 1.1× 37 1.5× 30 1.8× 12 2.0× 32 528
Henrique Reggiani United States 11 336 0.6× 144 0.6× 27 1.1× 15 0.9× 9 1.5× 34 357
Danny Horta United States 13 520 0.9× 280 1.1× 20 0.8× 7 0.4× 18 3.0× 41 561
Jonathan C. Bird United States 13 644 1.1× 308 1.2× 24 1.0× 10 0.6× 11 1.8× 16 666
Masashi Omiya Japan 12 481 0.9× 192 0.8× 21 0.8× 24 1.4× 9 1.5× 32 499
K. Pilkington United States 11 799 1.4× 282 1.1× 46 1.8× 9 0.5× 8 1.3× 14 803
Alessandra Slemer Italy 6 332 0.6× 147 0.6× 19 0.8× 14 0.8× 8 1.3× 16 356
G. Bihain Spain 14 564 1.0× 150 0.6× 18 0.7× 30 1.8× 12 2.0× 22 587
D. Majaess Canada 11 402 0.7× 170 0.7× 35 1.4× 8 0.5× 21 3.5× 48 416

Countries citing papers authored by Jongsuk Hong

Since Specialization
Citations

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

Fields of papers citing papers by Jongsuk Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongsuk Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Jongsuk Hong. A scholar is included among the top collaborators of Jongsuk Hong 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 Jongsuk Hong. Jongsuk Hong 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
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Hypki, Arkadiusz, et al.. (2024). MOCCA: Global properties of tidally filling and underfilling globular star clusters with multiple stellar populations. Astronomy and Astrophysics. 693. A41–A41. 5 indexed citations
4.
Vesperini, Enrico, Abbas Askar, Andrea Bellini, et al.. (2024). Energy equipartition in multiple-population globular clusters. Monthly Notices of the Royal Astronomical Society. 534(3). 2397–2409. 7 indexed citations
5.
Hui, C. Y., Jongsuk Hong, J. Takata, et al.. (2023). Influences of dynamical disruptions on the evolution of pulsars in globular clusters. Monthly Notices of the Royal Astronomical Society. 525(3). 4167–4175. 1 indexed citations
6.
7.
Hypki, Arkadiusz, et al.. (2022). mocca: dynamics and evolution of single and binary stars of multiple stellar populations in tidally filling and underfilling globular star clusters. Monthly Notices of the Royal Astronomical Society. 517(4). 4768–4787. 15 indexed citations
8.
Giersz, Mirek, et al.. (2022). A Monte Carlo study of early gas expulsion and evolution of star clusters: new simulations with the MOCCA code in the amuse framework. Monthly Notices of the Royal Astronomical Society. 514(4). 5739–5750. 13 indexed citations
9.
Lim, Beomdu, Yaël Nazé, Jongsuk Hong, et al.. (2021). A Kinematic Perspective on the Formation Process of the Stellar Groups in the Rosette Nebula. The Astronomical Journal. 162(2). 56–56. 8 indexed citations
10.
Lim, Beomdu, Jongsuk Hong, Hyeong-Sik Yun, et al.. (2020). The Origin of a Distributed Stellar Population in the Star-forming Region W4. The Astrophysical Journal. 899(2). 121–121. 10 indexed citations
11.
Milone, A. P., Enrico Vesperini, A. F. Marino, et al.. (2019). The Hubble Space Telescope UV Legacy Survey of Galactic globular clusters – XXI. Binaries among multiple stellar populations. Monthly Notices of the Royal Astronomical Society. 492(4). 5457–5469. 17 indexed citations
12.
Li, Chengyuan, et al.. (2019). Blue Straggler Stars beyond the Milky Way. IV. Radial Distributions and Dynamical Implications. The Astrophysical Journal. 871(2). 171–171. 5 indexed citations
13.
Dalessandro, E., Mario Cadelano, Enrico Vesperini, et al.. (2018). The Peculiar Radial Distribution of Multiple Populations in the Massive Globular Cluster M80. The Astrophysical Journal. 859(1). 15–15. 32 indexed citations
14.
Hong, Jongsuk, et al.. (2018). Spatial mixing of binary stars in multiple-population globular clusters. Monthly Notices of the Royal Astronomical Society. 483(2). 2592–2599. 14 indexed citations
15.
Dalessandro, E., A. Mucciarelli, M. Bellazzini, et al.. (2018). The Unexpected Kinematics of Multiple Populations in NGC 6362: Do Binaries Play a Role?*. The Astrophysical Journal. 864(1). 33–33. 25 indexed citations
16.
Milone, A. P., et al.. (2016). TheHubble Space TelescopeUV Legacy Survey of Galactic globular clusters – X. The radial distribution of stellar populations in NGC 2808. Monthly Notices of the Royal Astronomical Society. 463(1). 449–458. 33 indexed citations
17.
Bellini, Andrea, Enrico Vesperini, G. Piotto, et al.. (2015). THE HUBBLE SPACE TELESCOPE UV LEGACY SURVEY OF GALACTIC GLOBULAR CLUSTERS: THE INTERNAL KINEMATICS OF THE MULTIPLE STELLAR POPULATIONS IN NGC 2808. The Astrophysical Journal Letters. 810(1). L13–L13. 67 indexed citations
18.
Hong, Jongsuk & Hyung Mok Lee. (2015). Black hole binaries in galactic nuclei and gravitational wave sources. Monthly Notices of the Royal Astronomical Society. 448(1). 754–770. 38 indexed citations
19.
Hong, Jongsuk, Eunhyeuk Kim, Hyung Mok Lee, & Rainer Spurzem. (2013). Comparative study between N-body and Fokker–Planck simulations for rotating star clusters – II. Two-component models. Monthly Notices of the Royal Astronomical Society. 430(4). 2960–2972. 41 indexed citations
20.
Yoon, Ilsang, Hyung Mok Lee, & Jongsuk Hong. (2011). Equilibrium and dynamical evolution of a self-gravitating system embedded in a potential well. Monthly Notices of the Royal Astronomical Society. 414(3). 2728–2738. 3 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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