Ilsang Yoon

1.3k total citations
27 papers, 234 citations indexed

About

Ilsang Yoon is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Ilsang Yoon has authored 27 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Astronomy and Astrophysics, 12 papers in Instrumentation and 7 papers in Nuclear and High Energy Physics. Recurrent topics in Ilsang Yoon's work include Galaxies: Formation, Evolution, Phenomena (21 papers), Astronomy and Astrophysical Research (12 papers) and Astrophysics and Star Formation Studies (9 papers). Ilsang Yoon is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (21 papers), Astronomy and Astrophysical Research (12 papers) and Astrophysics and Star Formation Studies (9 papers). Ilsang Yoon collaborates with scholars based in United States, France and Spain. Ilsang Yoon's co-authors include A. Evans, Neal Katz, Martin D. Weinberg, Andrej Obuljen, D.-C. Kim, Francisco Villaescusa-Navarro, Michael G. Jones, David Alonso, George C. Privon and Ji Hoon Kim and has published in prestigious journals such as Science, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Ilsang Yoon

22 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilsang Yoon United States 11 220 55 49 20 8 27 234
F. W. Yang United States 5 173 0.8× 52 0.9× 59 1.2× 15 0.8× 5 0.6× 10 188
D. B. Haarsma United States 6 245 1.1× 106 1.9× 35 0.7× 16 0.8× 6 0.8× 12 255
O. Lahav United Kingdom 4 175 0.8× 45 0.8× 45 0.9× 14 0.7× 15 1.9× 6 180
J. Surdej Belgium 10 294 1.3× 115 2.1× 56 1.1× 17 0.8× 11 1.4× 19 300
Nagisa Oi Japan 10 274 1.2× 86 1.6× 50 1.0× 11 0.6× 10 1.3× 21 282
Matthew M. Pieri United States 11 362 1.6× 76 1.4× 112 2.3× 14 0.7× 6 0.8× 27 370
Jan–Torge Schindler United States 11 356 1.6× 121 2.2× 61 1.2× 11 0.6× 6 0.8× 25 376
Yotam Cohen Canada 5 322 1.5× 151 2.7× 70 1.4× 24 1.2× 5 0.6× 5 337
Mohammadtaher Safarzadeh United States 11 311 1.4× 79 1.4× 65 1.3× 8 0.4× 5 0.6× 22 320
J. Shangguan China 12 390 1.8× 101 1.8× 78 1.6× 8 0.4× 6 0.8× 25 396

Countries citing papers authored by Ilsang Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Ilsang Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilsang Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Ilsang Yoon. A scholar is included among the top collaborators of Ilsang Yoon 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 Ilsang Yoon. Ilsang Yoon 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.
Marrewijk, Joshiwa van, Melanie Kaasinen, Luca Di Mascolo, et al.. (2025). Quantifying the detection likelihood of faint peaks in interferometric data through jackknifing. Astronomy and Astrophysics. 695. A204–A204.
2.
Yoon, Ilsang. (2024). A Simple Model of the Radio–Infrared Correlation Depending on Gas Surface Density and Redshift. The Astrophysical Journal. 975(1). 15–15. 1 indexed citations
3.
Massingill, Kyle, Brian Mason, Mark Lacy, et al.. (2024). Observational Constraints on Sunyaev–Zeldovich Effect Halos around High-z Quasars. The Astrophysical Journal. 969(1). 56–56. 1 indexed citations
4.
Emonts, Bjorn, S. J. Curran, G. K. Miley, et al.. (2024). Absorption of Millimeter-band CO and CN in the Early Universe: Molecular Clouds in the Radio Galaxy B2 0902+34 at Redshift 3.4. The Astrophysical Journal. 962(2). 187–187. 2 indexed citations
5.
Vulcani, Benedetta, Tommaso Treu, Matthew A. Malkan, et al.. (2024). Not just PAH3.3: Why galaxies turn red in the near-infrared. Astronomy and Astrophysics. 693. A204–A204.
6.
Emonts, Bjorn, M. D. Lehnert, Ilsang Yoon, et al.. (2023). A cosmic stream of atomic carbon gas connected to a massive radio galaxy at redshift 3.8. Science. 379(6639). 1323–1326. 16 indexed citations
7.
Emonts, Bjorn, Zheng Cai, Jianan Li, et al.. (2023). The SUPERCOLD-CGM Survey. I. Probing the Extended CO(4–3) Emission of the Circumgalactic Medium in a Sample of 10 Enormous Lyα Nebulae at z ∼ 2. The Astrophysical Journal. 950(2). 180–180. 4 indexed citations
8.
Yoon, Ilsang, C. L. Carilli, Seiji Fujimoto, et al.. (2023). ALMA Observation of a z ≳ 10 Galaxy Candidate Discovered with JWST. The Astrophysical Journal. 950(1). 61–61. 10 indexed citations
9.
Glikman, Eilat, Ilsang Yoon, Julia M. Comerford, et al.. (2023). A Candidate Dual QSO at Cosmic Noon. The Astrophysical Journal Letters. 951(1). L18–L18. 4 indexed citations
10.
Yoon, Ilsang. (2022). Spinning Nanoparticles Impacted by C-shock: Implications for Radio-millimeter Emission from Star-forming Regions. The Astrophysical Journal. 936(2). 179–179. 1 indexed citations
11.
Li, Qiong, Ran Wang, H. Dannerbauer, et al.. (2021). Discovery of a Protocluster Core Associated with an Enormous Lya Nebula at z = 2.3. The Astrophysical Journal. 922(2). 236–236. 8 indexed citations
12.
Song, Yiqing, Sean T. Linden, A. Evans, et al.. (2021). A Comparison between Nuclear Ring Star Formation in LIRGs and in Normal Galaxies with the Very Large Array. The Astrophysical Journal. 916(2). 73–73. 10 indexed citations
13.
Kovačević, Andjelka B., D. Ilić, Luka Č. Popović, et al.. (2021). On possible proxies of AGN light-curves cadence selection in future time domain surveys. Monthly Notices of the Royal Astronomical Society. 505(4). 5012–5028. 8 indexed citations
14.
Emonts, Bjorn, Zheng Cai, J. X. Prochaska, et al.. (2021). Massive Molecular Outflow and 100 kpc Extended Cold Halo Gas in the Enormous Lyα Nebula of QSO 1228+3128. The Astrophysical Journal Letters. 922(2). L29–L29. 15 indexed citations
15.
Kim, D.-C., Ilsang Yoon, A. Evans, et al.. (2020). Dual AGN Candidates with Double-peaked [O iii] Lines Matching that of Confirmed Dual AGNs. The Astrophysical Journal. 904(1). 23–23. 14 indexed citations
16.
Torres-Albà, N., K. Iwasawa, T. Díaz-Santos, et al.. (2018). C-GOALS. Astronomy and Astrophysics. 620. A140–A140. 27 indexed citations
17.
Kim, D.-C., Ilsang Yoon, George C. Privon, et al.. (2017). A Potential Recoiling Supermassive Black Hole, CXO J101527.2+625911. The Astrophysical Journal. 840(2). 71–71. 17 indexed citations
18.
Maud, L. T., R. P. J. Tilanus, T. A. van Kempen, et al.. (2017). Phase correction for ALMA. Investigating water vapour radiometer scaling: The long-baseline science verification data case study. Astronomy and Astrophysics. 605. A121–A121. 14 indexed citations
19.
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
20.
Ade, P. A. R., I. Aretxaga, Jason E. Austermann, et al.. (2006). Submillimeter Galaxy Surveys with AzTEC. ORCA Online Research @Cardiff (Cardiff University). 208.

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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