Ae Seo Deok Park

3.2k total citations · 2 hit papers
8 papers, 2.4k citations indexed

About

Ae Seo Deok Park is a scholar working on Nephrology, Molecular Biology and Genetics. According to data from OpenAlex, Ae Seo Deok Park has authored 8 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nephrology, 5 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Ae Seo Deok Park's work include Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Epigenetics and DNA Methylation (3 papers). Ae Seo Deok Park is often cited by papers focused on Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Epigenetics and DNA Methylation (3 papers). Ae Seo Deok Park collaborates with scholars based in United States, United Kingdom and South Korea. Ae Seo Deok Park's co-authors include Katalin Suszták, James Pullman, Yi-An Ko, Davoud Mohtat, Seung Hyeok Han, Frank Chinga, Seon Ho Ahn, Kumar Sharma, Erwin P. Böttinger and Hyun Mi Kang and has published in prestigious journals such as Nature Medicine, Nature Communications and Diabetes.

In The Last Decade

Ae Seo Deok Park

8 papers receiving 2.3k citations

Hit Papers

Defective fatty acid oxidation in renal tubular epithelia... 2011 2026 2016 2021 2014 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ae Seo Deok Park United States 8 1.1k 1.1k 328 294 260 8 2.4k
Jianling Tao China 10 697 0.6× 685 0.6× 260 0.8× 225 0.8× 123 0.5× 31 1.6k
Frank Chinga United States 5 860 0.8× 576 0.5× 275 0.8× 244 0.8× 117 0.5× 5 1.7k
Antien L. Mooyaart Netherlands 17 450 0.4× 876 0.8× 329 1.0× 194 0.7× 150 0.6× 59 2.2k
Isao Ebihara Japan 34 961 0.9× 1.4k 1.3× 322 1.0× 285 1.0× 450 1.7× 90 3.3k
H. E. Abboud United States 29 1.1k 1.0× 865 0.8× 478 1.5× 427 1.5× 226 0.9× 52 3.1k
Evelyn Tolbert United States 30 1.1k 1.0× 968 0.9× 186 0.6× 398 1.4× 150 0.6× 40 2.7k
Sumant S. Chugh United States 21 777 0.7× 1.3k 1.2× 132 0.4× 238 0.8× 219 0.8× 40 2.2k
Shizheng Huang United States 16 1.4k 1.3× 593 0.5× 187 0.6× 206 0.7× 262 1.0× 21 2.2k
Daisuke Ogawa Japan 22 793 0.7× 605 0.6× 245 0.7× 437 1.5× 121 0.5× 51 2.2k
Junhui Zhen China 23 807 0.7× 575 0.5× 290 0.9× 189 0.6× 125 0.5× 54 2.0k

Countries citing papers authored by Ae Seo Deok Park

Since Specialization
Citations

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

Fields of papers citing papers by Ae Seo Deok Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ae Seo Deok Park. 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 Ae Seo Deok Park. The network helps show where Ae Seo Deok Park may publish in the future.

Co-authorship network of co-authors of Ae Seo Deok Park

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

All Works

8 of 8 papers shown
1.
Gluck, Caroline, Chengxiang Qiu, Sang Youb Han, et al.. (2019). Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease. Nature Communications. 10(1). 2461–2461. 59 indexed citations
2.
Beckerman, Pazit, Jing Bi‐Karchin, Ae Seo Deok Park, et al.. (2017). Transgenic expression of human APOL1 risk variants in podocytes induces kidney disease in mice. Nature Medicine. 23(4). 429–438. 234 indexed citations
3.
Na, Jianbo, Mariya T. Sweetwyne, Ae Seo Deok Park, Katalin Suszták, & Ross Cagan. (2015). Diet-Induced Podocyte Dysfunction in Drosophila and Mammals. Cell Reports. 12(4). 636–647. 81 indexed citations
4.
Mohtat, Davoud, Yiting Yu, Yi-An Ko, et al.. (2014). Kidney Cancer Is Characterized by Aberrant Methylation of Tissue-Specific Enhancers That Are Prognostic for Overall Survival. Clinical Cancer Research. 20(16). 4349–4360. 55 indexed citations
5.
Kang, Hyun Mi, Seon Ho Ahn, Peter S. Choi, et al.. (2014). Defective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis development. Nature Medicine. 21(1). 37–46. 1119 indexed citations breakdown →
6.
Ko, Yi-An, Davoud Mohtat, Masako Suzuki, et al.. (2013). Cytosine methylation changes in enhancer regions of core pro-fibrotic genes characterize kidney fibrosis development. Genome biology. 14(10). R108–R108. 180 indexed citations
7.
Rutkowski, Joseph M., Zhao V. Wang, Ae Seo Deok Park, et al.. (2013). Adiponectin Promotes Functional Recovery after Podocyte Ablation. Journal of the American Society of Nephrology. 24(2). 268–282. 135 indexed citations
8.
Woroniecka, Karolina, Ae Seo Deok Park, Davoud Mohtat, et al.. (2011). Transcriptome Analysis of Human Diabetic Kidney Disease. Diabetes. 60(9). 2354–2369. 497 indexed citations breakdown →

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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