Youngmok C. Jang

2.8k citations
14 papers · 2.3k indexed · 1 hit paper · h-index 13
Topics
Mitochondrial Function and Pathology (9 papers)Muscle Physiology and Disorders (7 papers)Adipose Tissue and Metabolism (4 papers)

In The Last Decade

Youngmok C. Jang

14 papers receiving 2.2k citations

Hit Papers

Trends in oxidative aging theories20072026201320192007250500750

Peers

Youngmok C. Jang
Comparison fields: 5 of 126
  • Molecular Biology 1.4k
  • Physiology 780
  • Rehabilitation 256
  • Aging 252
  • Cellular and Molecular Neuroscience 199
Replace Ryoya Takahashi with:
Ryoya Takahashi Japan
Ting‐Ting Huang United States
Hideko Nakamoto Japan
Jonathan Wanagat United States
Ricardo Gredilla Spain
Karim S. Echtay United Kingdom
Rajesh Amin United States
Samuel E. Schriner United States
Carmen Gómez Spain
Mika B. Jekabsons United States
Youngmok C. Jang relative to Ryoya Takahashi Japan Ryoya Takahashi's profile →
Citations per field
00.5×
Ryoya Takahashi · 1×
Citations per year

Countries citing papers authored by Youngmok C. Jang

Since Specialization
Citations

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

Fields of papers citing papers by Youngmok C. Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youngmok C. Jang. 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 Youngmok C. Jang. The network helps show where Youngmok C. Jang may publish in the future.

Co-authorship network of co-authors of Youngmok C. Jang

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 72
2 70
3 60
4 196
5 22
6 71
7 142
8 64
9 249
10 77
11 286
12
Trends in oxidative aging theoriesbreakdown →
827
13 132
14
EFFECT OF DOXORUBICIN-INDUCED APOPTOSIS ON GENDER
1

About Youngmok C. Jang

Youngmok C. Jang is a scholar working on Aging, Rehabilitation and Toxicology, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Muscle Physiology and Disorders (7 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Aging (252 citations), Rehabilitation (256 citations) and Physiology (780 citations). Youngmok C. Jang has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Holly Van Remmen, Florian L. Müller, Arlan Richardson, Michael S. Lustgarten, Arunabh Bhattacharya, Yuhong Liu, Wook Song, M. Sabia, Yuhong Liu and Hanyu Liang. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and The FASEB Journal.

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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