Eun Sook Hwang

5.3k citations
106 papers · 4.3k indexed · 1 hit paper · h-index 34
Topics
Hippo pathway signaling and YAP/TAZ (26 papers)Immune Cell Function and Interaction (25 papers)T-cell and B-cell Immunology (18 papers)

In The Last Decade

Eun Sook Hwang

105 papers receiving 4.3k citations

Hit Papers

TAZ, a Transcriptional Modulator of Mesenchymal Stem Cell...20052026201220192005250500750

Peers

Eun Sook Hwang
Comparison fields: 5 of 130
  • Molecular Biology 1.9k
  • Immunology 1.2k
  • Cell Biology 1.0k
  • Oncology 572
  • Physiology 495
Replace Satoshi Matsuda with:
Satoshi Matsuda Japan
Hajime Iizuka Japan
Gregory J. Brunn United States
Mayumi Fujita United States
Tomasz Kordula United States
Yoe‐Sik Bae South Korea
Флориан Грубер Austria
Yu Jiang United States
Masakiyo Sakaguchi Japan
Tomohiko Murakami Japan
Eun Sook Hwang relative to Satoshi Matsuda Japan Satoshi Matsuda's profile →
Citations per field
00.5×1.5×2.3×
Satoshi Matsuda · 1×
Citations per year

Countries citing papers authored by Eun Sook Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Eun Sook Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Sook Hwang. 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 Eun Sook Hwang. The network helps show where Eun Sook Hwang may publish in the future.

Co-authorship network of co-authors of Eun Sook Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Sook Hwang. A scholar is included among the top collaborators of Eun Sook Hwang 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 Eun Sook Hwang. Eun Sook Hwang 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 5
2 3
3 29
4 6
5 12
6 3
7 42
8 39
9 30
10 101
11 2
12 166
13 44
14 7
15 56
16 59
17 30
18 59
19
TAZ, a Transcriptional Modulator of Mesenchymal Stem Cell Differentiationbreakdown →
837
20 37

About Eun Sook Hwang

Eun Sook Hwang is a scholar working on Immunology, Cell Biology and Toxicology, having authored 106 papers that have together received 4.3k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (26 papers), Immune Cell Function and Interaction (25 papers) and T-cell and B-cell Immunology (18 papers). The work is most often cited by research in Cell Biology (1.0k citations), Immunology (1.2k citations) and Molecular Biology (1.9k citations). Eun Sook Hwang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Laurie H. Glimcher, Jeong‐Ho Hong, Susanne J. Szabo, Pamela L. Schwartzberg, Hee Yeon Won, Michael B. Yaffe, Mi Ran Byun, Nancy Hopkins, Elisabetta Mueller and A Rum Kim. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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