Sung Jin Ryu

592 total citations
12 papers, 453 citations indexed

About

Sung Jin Ryu is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Sung Jin Ryu has authored 12 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Sung Jin Ryu's work include Caveolin-1 and cellular processes (5 papers), Protein Structure and Dynamics (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). Sung Jin Ryu is often cited by papers focused on Caveolin-1 and cellular processes (5 papers), Protein Structure and Dynamics (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). Sung Jin Ryu collaborates with scholars based in South Korea, United States and Puerto Rico. Sung Jin Ryu's co-authors include Sang Chul Park, Ik‐Soon Jang, Kyung Tae Kim, Yoon Sin Oh, Kyung A Cho, Sang Eun Lee, Hwang‐Phill Kim, Jeong‐Soo Park, Jeong Soo Ahn and Keisuke Hasegawa and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

Sung Jin Ryu

12 papers receiving 447 citations

Peers

Sung Jin Ryu

MB

CB

PHYSI

CR

IMMUN

Xian Jin Lian Canada

Shlomit Boguslavsky Canada

Mathieu Fortier France

Robert T. Schinzel United States

Valerie L. R. M. Verstraeten Netherlands

An Rykx Belgium

Tina Wagner Germany

Mylène Ferrand France

Elizabeth Pavez Loriè Sweden

Christopher A. Natale United States

Xian Jin Lian Canada

Sung Jin Ryu

375 ×1.2

MB

50 ×0.2

CB

74 ×0.5

PHYSI

96 ×1.7

CR

54 ×1.1

IMMUN

Citations per year, relative to Sung Jin Ryu Sung Jin Ryu (= 1×) peers Xian Jin Lian

Countries citing papers authored by Sung Jin Ryu

Since Specialization

Citations

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

Fields of papers citing papers by Sung Jin Ryu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Jin Ryu. 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 Jin Ryu. The network helps show where Sung Jin Ryu may publish in the future.

Co-authorship network of co-authors of Sung Jin Ryu

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

All Works

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12 of 12 papers shown

1.

Park, Chihyun, et al.. (2023). ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training. Computers in Biology and Medicine. 157. 106721–106721. 6 indexed citations

2.

Kim, Hwanhee, et al.. (2022). Predicting chemical structure using reinforcement learning with a stack-augmented conditional variational autoencoder. Journal of Cheminformatics. 14(1). 83–83. 3 indexed citations

3.

Park, Chihyun, So Jeong Yun, Sung Jin Ryu, et al.. (2017). Systematic identification of an integrative network module during senescence from time-series gene expression. BMC Systems Biology. 11(1). 36–36. 8 indexed citations

4.

Hasegawa, Keisuke, Sung Jin Ryu, & Petr Kaláb. (2013). Chromosomal gain promotes formation of a steep RanGTP gradient that drives mitosis in aneuploid cells. The Journal of Cell Biology. 200(2). 151–161. 31 indexed citations

5.

Kim, Sung Young, et al.. (2011). Defective nuclear translocation of stress-activated signaling in senescent diploid human fibroblasts: a possible explanation for aging-associated apoptosis resistance. APOPTOSIS. 16(8). 795–807. 11 indexed citations

6.

Kim, Sung Young, et al.. (2009). Senescence-related functional nuclear barrier by down-regulation of nucleo-cytoplasmic trafficking gene expression. Biochemical and Biophysical Research Communications. 391(1). 28–32. 29 indexed citations

7.

Ryu, Sung Jin & Sang Chul Park. (2009). Targeting major vault protein in senescence-associated apoptosis resistance. Expert Opinion on Therapeutic Targets. 13(4). 479–484. 24 indexed citations

8.

Oh, Yoon Sin, Hyo Jeong Kim, Sung Jin Ryu, et al.. (2007). Exercise type and muscle fiber specific induction of caveolin-1 expression for insulin sensitivity of skeletal muscle. Experimental & Molecular Medicine. 39(3). 395–401. 21 indexed citations

9.

Oh, Yoon Sin, Kyung A Cho, Sung Jin Ryu, et al.. (2006). Regulation of insulin response in skeletal muscle cell by caveolin status. Journal of Cellular Biochemistry. 99(3). 747–758. 27 indexed citations

10.

Park, Sang Chul, et al.. (2004). Functional Efficiency of the Senescent Cells: Replace or Restore?. Annals of the New York Academy of Sciences. 1019(1). 309–316. 15 indexed citations

11.

Cho, Kyung A, Sung Jin Ryu, Yoon Sin Oh, et al.. (2004). Morphological Adjustment of Senescent Cells by Modulating Caveolin-1 Status. Journal of Biological Chemistry. 279(40). 42270–42278. 176 indexed citations

12.

Ryu, Sung Jin, Jeong‐Soo Park, Ik‐Soon Jang, et al.. (2003). Senescent Phenotype Can Be Reversed by Reduction of Caveolin Status. Journal of Biological Chemistry. 278(30). 27789–27795. 102 indexed citations

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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