Moo‐Young Chun

103 total papers · 1.3k total citations
33 papers, 487 citations indexed

About

Moo‐Young Chun is a scholar working on Astronomy and Astrophysics, Instrumentation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Moo‐Young Chun has authored 33 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 18 papers in Instrumentation and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Moo‐Young Chun's work include Stellar, planetary, and galactic studies (19 papers), Astronomy and Astrophysical Research (18 papers) and Astrophysics and Star Formation Studies (12 papers). Moo‐Young Chun is often cited by papers focused on Stellar, planetary, and galactic studies (19 papers), Astronomy and Astrophysical Research (18 papers) and Astrophysics and Star Formation Studies (12 papers). Moo‐Young Chun collaborates with scholars based in South Korea, United States and Australia. Moo‐Young Chun's co-authors include Hwankyung Sung, M. S. Bessell, Byeong-Gon Park, In-Soo Yuk, Cheongho Han, Seung‐Lee Kim, Dong-Jin Kim, Yongseok Lee, Sang-Mok Cha and Chung‐Uk Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Moo‐Young Chun

31 papers receiving 461 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Moo‐Young Chun 471 169 39 33 18 33 487
M. Chávez 463 1.0× 159 0.9× 25 0.6× 20 0.6× 21 1.2× 56 494
E. Nelan 521 1.1× 181 1.1× 48 1.2× 27 0.8× 11 0.6× 23 548
C. Iserlohe 427 0.9× 123 0.7× 52 1.3× 31 0.9× 30 1.7× 37 463
G. Parmeggiani 439 0.9× 148 0.9× 74 1.9× 25 0.8× 10 0.6× 32 493
J. N. Heasley 383 0.8× 152 0.9× 23 0.6× 21 0.6× 16 0.9× 29 414
R. Costero 452 1.0× 76 0.4× 27 0.7× 47 1.4× 13 0.7× 39 478
Inwoo Han 500 1.1× 149 0.9× 45 1.2× 26 0.8× 39 2.2× 50 548
Karla Z. Arellano-Córdova 422 0.9× 142 0.8× 19 0.5× 22 0.7× 23 1.3× 33 476
O. Bendinelli 376 0.8× 114 0.7× 76 1.9× 24 0.7× 8 0.4× 25 429
Bradford B. Behr 422 0.9× 197 1.2× 34 0.9× 23 0.7× 5 0.3× 27 498

Countries citing papers authored by Moo‐Young Chun

Since Specialization
Citations

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

Fields of papers citing papers by Moo‐Young Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moo‐Young Chun. 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 Moo‐Young Chun. The network helps show where Moo‐Young Chun may publish in the future.

Co-authorship network of co-authors of Moo‐Young Chun

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

All Works

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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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