Sung‐Kook Hong

1.4k citations
27 papers · 1.0k indexed · h-index 18
Topics
Developmental Biology and Gene Regulation (10 papers)Zebrafish Biomedical Research Applications (9 papers)Hedgehog Signaling Pathway Studies (7 papers)

In The Last Decade

Sung‐Kook Hong

27 papers receiving 990 citations

Peers

Sung‐Kook Hong
Comparison fields: 5 of 88
  • Molecular Biology 712
  • Cell Biology 307
  • Genetics 219
  • Cellular and Molecular Neuroscience 117
  • Developmental Neuroscience 86
Replace Alexandra Tallafuß with:
Alexandra Tallafuß United States
Yasuyuki Kishimoto Japan
Kyeong‐Won Yoo South Korea
Joachim Berger Australia
Christie P. Robertson United States
Victor Hatini United States
Marcel Tawk France
Leonardo Beccari Spain
Heather L. Stickney United States
Mika Sato‐Maeda Japan
Sung‐Kook Hong relative to Alexandra Tallafuß United States Alexandra Tallafuß's profile →
Citations per field
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Alexandra Tallafuß · 1×
Citations per year

Countries citing papers authored by Sung‐Kook Hong

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Kook Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Kook Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Kook Hong. A scholar is included among the top collaborators of Sung‐Kook 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 Sung‐Kook Hong. Sung‐Kook 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
#WorkIndexed citations
1 3
2 3
3 25
4 19
5 45
6 33
7 23
8 8
9 15
10 10
11 33
12 33
13 19
14 44
15 17
16 23
17 23
18 15
19 26
20 345

About Sung‐Kook Hong

Sung‐Kook Hong is a scholar working on Cell Biology, Developmental Biology and Molecular Biology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (10 papers), Zebrafish Biomedical Research Applications (9 papers) and Hedgehog Signaling Pathway Studies (7 papers). The work is most often cited by research in Developmental Neuroscience (86 citations), Cell Biology (307 citations) and Molecular Biology (712 citations). Sung‐Kook Hong has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Igor B. Dawid, Cheol‐Hee Kim, Kyeong‐Won Yoo, Tae‐Lin Huh, Young‐Ki Bae, Ajay Chitnis, Sang‐Yeob Yeo, Masahiko Hibi, Naomasa Miki and Jimann Shin. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Development.

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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