Heeyoon Jeong

1.2k total citations · 1 hit paper
10 papers, 896 citations indexed

About

Heeyoon Jeong is a scholar working on Molecular Biology, Epidemiology and Nephrology. According to data from OpenAlex, Heeyoon Jeong has authored 10 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Epidemiology and 1 paper in Nephrology. Recurrent topics in Heeyoon Jeong's work include Protein Tyrosine Phosphatases (4 papers), Autophagy in Disease and Therapy (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Heeyoon Jeong is often cited by papers focused on Protein Tyrosine Phosphatases (4 papers), Autophagy in Disease and Therapy (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Heeyoon Jeong collaborates with scholars based in South Korea, Sweden and United Kingdom. Heeyoon Jeong's co-authors include Ara Koh, Sung Ho Ryu, Mi Nam Lee, Muhammad Tanweer Khan, Louise Mannerås-Holm, Göran Bergström, Marcus Ståhlman, Louise E. Olofsson, Caroline Schmidt and Fredrik Bäckhed and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Heeyoon Jeong

10 papers receiving 888 citations

Hit Papers

Microbially Produced Imid... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Heeyoon Jeong South Korea 8 638 306 196 89 69 10 896
Julieta Díaz-Delfín Spain 12 501 0.8× 387 1.3× 301 1.5× 124 1.4× 60 0.9× 15 1.1k
Heng Miao China 14 371 0.6× 126 0.4× 203 1.0× 95 1.1× 108 1.6× 37 809
Karolina Sulek Denmark 16 452 0.7× 148 0.5× 152 0.8× 144 1.6× 37 0.5× 43 960
Shenhai Gong China 13 478 0.7× 138 0.5× 207 1.1× 33 0.4× 29 0.4× 27 897
Jeanne Walker United States 8 428 0.7× 359 1.2× 216 1.1× 24 0.3× 86 1.2× 12 871
Chunmei Li China 22 525 0.8× 114 0.4× 243 1.2× 27 0.3× 49 0.7× 66 1.1k
Masoumeh Tavakoli‐Yaraki Iran 23 554 0.9× 73 0.2× 175 0.9× 30 0.3× 67 1.0× 60 1.2k
Kumar Kotlo United States 13 413 0.6× 151 0.5× 45 0.2× 34 0.4× 44 0.6× 22 640
Zepeng Zhang China 18 483 0.8× 199 0.7× 94 0.5× 20 0.2× 22 0.3× 50 789
Hongyang Shi China 14 341 0.5× 91 0.3× 115 0.6× 35 0.4× 48 0.7× 23 828

Countries citing papers authored by Heeyoon Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Heeyoon Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heeyoon Jeong. 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 Heeyoon Jeong. The network helps show where Heeyoon Jeong may publish in the future.

Co-authorship network of co-authors of Heeyoon Jeong

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

All Works

10 of 10 papers shown
1.
Koh, Ara, Antonio Molinaro, Marcus Ståhlman, et al.. (2018). Microbially Produced Imidazole Propionate Impairs Insulin Signaling through mTORC1. Cell. 175(4). 947–961.e17. 539 indexed citations breakdown →
2.
Singaram, Indira, Heeyoon Jeong, Ara Koh, et al.. (2018). Cellular phosphatase activity of C1-Ten/Tensin2 is controlled by Phosphatidylinositol-3,4,5-triphosphate binding through the C1-Ten/Tensin2 SH2 domain. Cellular Signalling. 51. 130–138. 10 indexed citations
3.
Lee, Jiyoun, Ara Koh, Heeyoon Jeong, et al.. (2017). C1-Ten is a PTPase of nephrin, regulating podocyte hypertrophy through mTORC1 activation. Scientific Reports. 7(1). 12346–12346. 15 indexed citations
4.
Jeong, Heeyoon, Ara Koh, Jiyoun Lee, et al.. (2017). Inhibition of C1-Ten PTPase activity reduces insulin resistance through IRS-1 and AMPK pathways. Scientific Reports. 7(1). 17777–17777. 16 indexed citations
5.
Park, Dohyun, Heeyoon Jeong, Mi Nam Lee, et al.. (2016). Resveratrol induces autophagy by directly inhibiting mTOR through ATP competition. Scientific Reports. 6(1). 21772–21772. 224 indexed citations
6.
Park, Dohyun, Mi Nam Lee, Heeyoon Jeong, et al.. (2014). Parkin ubiquitinates mTOR to regulate mTORC1 activity under mitochondrial stress. Cellular Signalling. 26(10). 2122–2130. 18 indexed citations
7.
Koh, Ara, Dohyun Park, Heeyoon Jeong, et al.. (2014). Regulation of C1-Ten protein tyrosine phosphatase by p62/SQSTM1-mediated sequestration and degradation. Cellular Signalling. 26(11). 2470–2480. 3 indexed citations
8.
Koh, Ara, Mi Nam Lee, Yong Ryoul Yang, et al.. (2013). C1-Ten Is a Protein Tyrosine Phosphatase of Insulin Receptor Substrate 1 (IRS-1), Regulating IRS-1 Stability and Muscle Atrophy. Molecular and Cellular Biology. 33(8). 1608–1620. 32 indexed citations
9.
Choi, Sunkyu, Heeyoon Jeong, Jin‐Hyeok Jang, et al.. (2012). Osmotic Stress Regulates Mammalian Target of Rapamycin (mTOR) Complex 1 via c-Jun N-terminal Kinase (JNK)-mediated Raptor Protein Phosphorylation. Journal of Biological Chemistry. 287(22). 18398–18407. 35 indexed citations
10.
Lee, Mi Nam, Ara Koh, Dohyun Park, et al.. (2012). Deacetylated αβ-tubulin acts as a positive regulator of Rheb GTPase through increasing its GTP-loading. Cellular Signalling. 25(2). 539–551. 4 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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