Eunju Im

1.4k total citations · 1 hit paper
18 papers, 934 citations indexed

About

Eunju Im is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Eunju Im has authored 18 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Cell Biology. Recurrent topics in Eunju Im's work include Ubiquitin and proteasome pathways (8 papers), Autophagy in Disease and Therapy (5 papers) and Cellular transport and secretion (3 papers). Eunju Im is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Autophagy in Disease and Therapy (5 papers) and Cellular transport and secretion (3 papers). Eunju Im collaborates with scholars based in South Korea, United States and Germany. Eunju Im's co-authors include Kwang Chul Chung, Ralph A. Nixon, Ju‐Hyun Lee, Philip Stavrides, Martin J. Berg, Chunfeng Huo, Dun‐Sheng Yang, Anna Pensalfini, Chris N. Goulbourne and M. Staufenbiel and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Eunju Im

18 papers receiving 929 citations

Hit Papers

Faulty autolysosome acidification in Alzheimer’s disease ... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunju Im South Korea 14 444 389 282 185 94 18 934
Chunfeng Huo United States 10 406 0.9× 411 1.1× 249 0.9× 168 0.9× 127 1.4× 13 986
Prasad Tammineni United States 15 675 1.5× 505 1.3× 339 1.2× 216 1.2× 107 1.1× 20 1.2k
Natura Myeku United States 11 581 1.3× 423 1.1× 282 1.0× 242 1.3× 111 1.2× 15 1.0k
Frank Matthes Germany 19 328 0.7× 338 0.9× 140 0.5× 90 0.5× 80 0.9× 34 707
Andrea Arena Italy 19 557 1.3× 340 0.9× 139 0.5× 150 0.8× 79 0.8× 51 1.1k
Elma Aflaki United States 17 425 1.0× 600 1.5× 213 0.8× 330 1.8× 83 0.9× 26 1.3k
John J. Shacka United States 12 417 0.9× 222 0.6× 525 1.9× 217 1.2× 71 0.8× 13 1.1k
John Labbadia United Kingdom 9 850 1.9× 303 0.8× 383 1.4× 281 1.5× 85 0.9× 11 1.5k
Tomas Schmauck‐Medina Norway 3 331 0.7× 190 0.5× 355 1.3× 98 0.5× 57 0.6× 4 845

Countries citing papers authored by Eunju Im

Since Specialization
Citations

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

Fields of papers citing papers by Eunju Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunju Im

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

All Works

18 of 18 papers shown
1.
Malampati, Sandeep, Philip Stavrides, Eunju Im, et al.. (2024). Pharmacological reacidification of lysosomes attenuates intraneuronal amyloidosis, early neuron death, and amyloid plaque formation in 5xFAD mice. Alzheimer s & Dementia. 20(S8). 2 indexed citations
2.
Im, Eunju, Ying Jiang, Philip Stavrides, et al.. (2023). Lysosomal dysfunction in Down syndrome and Alzheimer mouse models is caused by v-ATPase inhibition by Tyr 682 -phosphorylated APP βCTF. Science Advances. 9(30). eadg1925–eadg1925. 39 indexed citations
3.
Lee, Ju‐Hyun, Dun‐Sheng Yang, Chris N. Goulbourne, et al.. (2022). Faulty autolysosome acidification in Alzheimer’s disease mouse models induces autophagic build-up of Aβ in neurons, yielding senile plaques. Nature Neuroscience. 25(6). 688–701. 397 indexed citations breakdown →
4.
Im, Eunju, Jeongae Lee, Han Bin Oh, et al.. (2021). 28108 Untargeted metabolomics and steroid signatures in urine of male pattern baldness patients after finasteride treatment for a year. Journal of the American Academy of Dermatology. 85(3). AB41–AB41. 1 indexed citations
5.
Im, Eunju, et al.. (2020). Protein phosphatase PPM1B inhibits DYRK1A kinase through dephosphorylation of pS258 and reduces toxic tau aggregation. Journal of Biological Chemistry. 296. 100245–100245. 17 indexed citations
6.
Im, Eunju, Bark‐Lynn Lew, Woo‐Young Sim, et al.. (2020). Untargeted Metabolomics and Steroid Signatures in Urine of Male Pattern Baldness Patients after Finasteride Treatment for a Year. Metabolites. 10(4). 131–131. 11 indexed citations
7.
Jiang, Ying, Yutaka Sato, Eunju Im, et al.. (2019). Lysosomal Dysfunction in Down Syndrome Is APP-Dependent and Mediated by APP-βCTF (C99). Journal of Neuroscience. 39(27). 5255–5268. 106 indexed citations
8.
Im, Eunju, Bark‐Lynn Lew, Mi Yeon Lee, et al.. (2019). Simultaneous determination of androgens and prostaglandins in human urine using ultra-high-performance liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 1109. 45–53. 14 indexed citations
9.
Lee, Ju‐Hyun, Mala V. Rao, Dun‐Sheng Yang, et al.. (2018). Transgenic expression of a ratiometric autophagy probe specifically in neurons enables the interrogation of brain autophagy in vivo. Autophagy. 15(3). 543–557. 62 indexed citations
10.
Im, Eunju, et al.. (2016). Human Telomerase Reverse Transcriptase (hTERT) Positively Regulates 26S Proteasome Activity. Journal of Cellular Physiology. 232(8). 2083–2093. 22 indexed citations
11.
Im, Eunju & Kwang Chul Chung. (2016). Precise assembly and regulation of 26S proteasome and correlation between proteasome dysfunction and neurodegenerative diseases. BMB Reports. 49(9). 459–473. 19 indexed citations
12.
Im, Eunju, et al.. (2016). Covalent ISG15 conjugation positively regulates the ubiquitin E3 ligase activity of parkin. Open Biology. 6(8). 41 indexed citations
13.
Im, Eunju & Kwang Chul Chung. (2015). Dyrk1A phosphorylates parkin at Ser‐131 and negatively regulates its ubiquitin E3 ligase activity. Journal of Neurochemistry. 134(4). 756–768. 24 indexed citations
14.
Han, Kyung Ah, Lang Yoo, Eunju Im, et al.. (2014). Histone Deacetylase 3 Promotes RCAN1 Stability and Nuclear Translocation. PLoS ONE. 9(8). e105416–e105416. 11 indexed citations
15.
Hwang, Hee Sook, et al.. (2012). Covalent NEDD8 Conjugation Increases RCAN1 Protein Stability and Potentiates Its Inhibitory Action on Calcineurin. PLoS ONE. 7(10). e48315–e48315. 19 indexed citations
16.
Um, Ji Won, et al.. (2012). Neddylation positively regulates the ubiquitin E3 ligase activity of parkin. Journal of Neuroscience Research. 90(5). 1030–1042. 43 indexed citations
17.
Um, Ji Won, Eunju Im, Joongkyu Park, et al.. (2010). ASK1 Negatively Regulates the 26 S Proteasome. Journal of Biological Chemistry. 285(47). 36434–36446. 40 indexed citations
18.
Um, Ji Won, Eunju Im, Hyun Jung Lee, et al.. (2010). Parkin Directly Modulates 26S Proteasome Activity. Journal of Neuroscience. 30(35). 11805–11814. 66 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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