Jihoon Nah

5.4k total citations · 1 hit paper
41 papers, 2.1k citations indexed

About

Jihoon Nah is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Jihoon Nah has authored 41 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 21 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Jihoon Nah's work include Autophagy in Disease and Therapy (29 papers), Calcium signaling and nucleotide metabolism (8 papers) and Alzheimer's disease research and treatments (7 papers). Jihoon Nah is often cited by papers focused on Autophagy in Disease and Therapy (29 papers), Calcium signaling and nucleotide metabolism (8 papers) and Alzheimer's disease research and treatments (7 papers). Jihoon Nah collaborates with scholars based in South Korea, United States and Japan. Jihoon Nah's co-authors include Yong‐Keun Jung, Junichi Sadoshima, Sunmin Jung, Tae‐In Kam, Seung-Min Yoo, Hye-Hyun Ahn, Junying Yuan, Peiyong Zhai, Daniela Zablocki and Álvaro F. Fernández and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Jihoon Nah

39 papers receiving 2.1k citations

Hit Papers

Overexpression of Atg5 in mice activates autophagy and ex... 2013 2026 2017 2021 2013 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
Jihoon Nah South Korea 23 1.2k 1.0k 398 348 169 41 2.1k
Álvaro F. Fernández Spain 18 1.1k 0.9× 897 0.9× 236 0.6× 242 0.7× 137 0.8× 29 1.8k
Sebastian Alers Germany 10 1.2k 1.0× 995 1.0× 193 0.5× 302 0.9× 222 1.3× 10 1.9k
Aashish Joshi United States 11 1.7k 1.4× 1.7k 1.6× 368 0.9× 513 1.5× 266 1.6× 13 2.8k
Toshiro Saito Japan 19 895 0.7× 1.2k 1.1× 295 0.7× 233 0.7× 134 0.8× 37 2.0k
Antje S Löffler Germany 9 1.2k 1.0× 924 0.9× 169 0.4× 281 0.8× 197 1.2× 9 1.8k
Wei‐Chung Chiang United States 11 810 0.7× 940 0.9× 259 0.7× 207 0.6× 85 0.5× 13 1.7k
Xiucui Ma United States 23 1.2k 1.0× 1.4k 1.3× 842 2.1× 337 1.0× 220 1.3× 34 3.2k
Allen M. Andres United States 24 854 0.7× 1.4k 1.3× 383 1.0× 234 0.7× 86 0.5× 43 2.2k
Urmi Bandyopadhyay United States 13 1.3k 1.1× 830 0.8× 653 1.6× 682 2.0× 204 1.2× 18 2.2k
Elaine A. Dunlop United Kingdom 18 629 0.5× 1.3k 1.2× 296 0.7× 310 0.9× 141 0.8× 28 2.0k

Countries citing papers authored by Jihoon Nah

Since Specialization
Citations

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

Fields of papers citing papers by Jihoon Nah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jihoon Nah

This figure shows the co-authorship network connecting the top 25 collaborators of Jihoon Nah. A scholar is included among the top collaborators of Jihoon Nah 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 Jihoon Nah. Jihoon Nah 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
1.
Kim, Dong‐Kyu, Jong-Uk Park, Hyo Je Cho, et al.. (2025). CRL4 mediates autoubiquitination of DDB1 upon deneddylation inhibition. Biochemical and Biophysical Research Communications. 786. 152772–152772.
2.
Maejima, Yasuhiro, Jihoon Nah, Peiyong Zhai, et al.. (2024). Mst1-mediated phosphorylation of FoxO1 and C/EBP-β stimulates cell-protective mechanisms in cardiomyocytes. Nature Communications. 15(1). 6279–6279. 7 indexed citations
3.
Chang, Jae-Woong, et al.. (2024). TMEM9 activates Rab9-dependent alternative autophagy through interaction with Beclin1. Cellular and Molecular Life Sciences. 81(1). 322–322. 5 indexed citations
5.
Nah, Jihoon, Daniela Zablocki, & Junichi Sadoshima. (2022). The role of autophagic cell death in cardiac disease. Journal of Molecular and Cellular Cardiology. 173. 16–24. 20 indexed citations
6.
Nagarajan, Narayani, Shinichi Oka, Jihoon Nah, et al.. (2022). Thioredoxin 1 promotes autophagy through transnitrosylation of Atg7 during myocardial ischemia. Journal of Clinical Investigation. 133(3). 13 indexed citations
7.
Nah, Jihoon, Daniela Zablocki, & Junichi Sadoshima. (2021). The roles of the inhibitory autophagy regulator Rubicon in the heart: A new therapeutic target to prevent cardiac cell death. Experimental & Molecular Medicine. 53(4). 528–536. 16 indexed citations
8.
Nah, Jihoon, Peiyong Zhai, Chun-Yang Huang, et al.. (2020). Upregulation of Rubicon promotes autosis during myocardial ischemia/reperfusion injury. Journal of Clinical Investigation. 130(6). 2978–2991. 114 indexed citations
9.
Fernández, Álvaro F., Yang Liu, Vanessa Ginet, et al.. (2020). Interaction between the autophagy protein Beclin 1 and Na+,K+-ATPase during starvation, exercise, and ischemia. JCI Insight. 5(1). 45 indexed citations
10.
Ikeda, Shohei, Jihoon Nah, Akihiro Shirakabe, et al.. (2020). YAP plays a crucial role in the development of cardiomyopathy in lysosomal storage diseases. Journal of Clinical Investigation. 131(5). 40 indexed citations
11.
Oka, Shinichi, Shohei Ikeda, Wataru Mizushima, et al.. (2019). Thioredoxin-1 maintains mitochondrial function via mechanistic target of rapamycin signalling in the heart. Cardiovascular Research. 116(10). 1742–1755. 26 indexed citations
12.
Kaludercic, Nina, Maria Chiara Maiuri, Susmita Kaushik, et al.. (2019). Comprehensive autophagy evaluation in cardiac disease models. Cardiovascular Research. 116(3). 483–504. 48 indexed citations
13.
Nah, Jihoon, Shigeki Miyamoto, & Junichi Sadoshima. (2017). Mitophagy as a Protective Mechanism against Myocardial Stress. Comprehensive physiology. 7(4). 1407–1424. 48 indexed citations
14.
Nah, Jihoon, Shigeki Miyamoto, & Junichi Sadoshima. (2017). Mitophagy as a Protective Mechanism against Myocardial Stress. Comprehensive physiology. 7(4). 1407–1424. 2 indexed citations
15.
Jung, Sunmin, et al.. (2016). Dual‐specificity phosphatase 26 (DUSP26) stimulates Aβ42 generation by promoting amyloid precursor protein axonal transport during hypoxia. Journal of Neurochemistry. 137(5). 770–781. 22 indexed citations
16.
Park, Hyejin, et al.. (2015). Essential role of POLDIP2 in Tau aggregation and neurotoxicity via autophagy/proteasome inhibition. Biochemical and Biophysical Research Communications. 462(2). 112–118. 21 indexed citations
17.
Choi, Hyunwoo, Won‐Jae Lee, Hyejin Park, et al.. (2015). Caspase-cleaved tau exhibits rapid memory impairment associated with tau oligomers in a transgenic mouse model. Neurobiology of Disease. 87. 19–28. 52 indexed citations
18.
Han, Jonghee, Sunmin Jung, Jiyeon Jang, et al.. (2013). OCIAD2 activates γ-secretase to enhance amyloid β production by interacting with nicastrin. Cellular and Molecular Life Sciences. 71(13). 2561–2576. 19 indexed citations
19.
Nah, Jihoon, Hyojin Kim, Dong‐Gyu Jo, et al.. (2008). Protection of Cardiomyocytes from Ischemic/Hypoxic Cell Death via Drbp1 and pMe2GlyDH in Cardio-specific ARC Transgenic Mice. Journal of Biological Chemistry. 283(45). 30707–30714. 27 indexed citations
20.

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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