Yong‐Sik Bong

455 citations
15 papers · 366 indexed · h-index 8
Topics
Axon Guidance and Neuronal Signaling (6 papers)Wnt/β-catenin signaling in development and cancer (6 papers)Hippo pathway signaling and YAP/TAZ (5 papers)

In The Last Decade

Yong‐Sik Bong

15 papers receiving 361 citations

Peers

Yong‐Sik Bong
Comparison fields: 5 of 52
  • Molecular Biology 239
  • Cellular and Molecular Neuroscience 157
  • Cell Biology 123
  • Oncology 50
  • Pathology and Forensic Medicine 40
Replace Gerhild Fabjani with:
Gerhild Fabjani Austria
Tagvor G. Nishanian United States
Daniel Hayes United States
Renato N. Mascardo United States
Masayuki Komura Japan
S. Aono Japan
Nobuaki Funahashi Japan
Xuefeng Jing Japan
Zhigang Xiao China
Yong‐Sik Bong relative to Gerhild Fabjani Austria Gerhild Fabjani's profile →
Citations per field
00.5×4.4×
Gerhild Fabjani · 1×
Citations per year

Countries citing papers authored by Yong‐Sik Bong

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Sik Bong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Sik Bong. 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 Yong‐Sik Bong. The network helps show where Yong‐Sik Bong may publish in the future.

Co-authorship network of co-authors of Yong‐Sik Bong

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 1
3 2
4 4
5 3
6 49
7 29
8 69
9 6
10 30
11
A preliminary finding: immunohistochemical localisation and distribution of placental angiotensin II receptor subtypes in normal and preeclamptic pregnancies.
14
12 90
13 7
14 34
15 27

About Yong‐Sik Bong

Yong‐Sik Bong is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Hepatology, having authored 15 papers that have together received 366 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers) and Hippo pathway signaling and YAP/TAZ (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (157 citations), Cell Biology (123 citations) and Developmental Neuroscience (18 citations). Yong‐Sik Bong has collaborated with scholars based in United States, Canada and Malaysia. Frequent co-authors include Ira Daar, Hyun‐Shik Lee, Kathleen Mood, Stephen W. Byers, Sally A. Moody, Kathryn B. Moore, Tagvor G. Nishanian, Tracey Rowlands, Carolyn M. Feltes and Akihiko Ishimura. Their work appears in journals such as PLoS ONE, Nature Cell Biology and Cancer Research.

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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