Young C. Jang

5.0k total citations · 3 hit papers
53 papers, 3.8k citations indexed

About

Young C. Jang is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Young C. Jang has authored 53 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 15 papers in Biomedical Engineering and 12 papers in Surgery. Recurrent topics in Young C. Jang's work include Muscle Physiology and Disorders (22 papers), Tissue Engineering and Regenerative Medicine (9 papers) and Mesenchymal stem cell research (9 papers). Young C. Jang is often cited by papers focused on Muscle Physiology and Disorders (22 papers), Tissue Engineering and Regenerative Medicine (9 papers) and Mesenchymal stem cell research (9 papers). Young C. Jang collaborates with scholars based in United States, South Korea and United Kingdom. Young C. Jang's co-authors include Amy J. Wagers, Massimiliano Cerletti, Christophe Benoıst, Dalia Burzyn, Wilson Kuswanto, Diane Mathis, Jennifer L. Shadrach, Dmitriy Kolodin, Tze Guan Tan and Esen Sefik and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Young C. Jang

52 papers receiving 3.7k citations

Hit Papers

A Special Population of Regulatory T Cells Potentiates Mu... 2013 2026 2017 2021 2013 2014 2016 250 500 750

Peers

Young C. Jang
Comparison fields: 5 of 131
  • Molecular Biology 1.9k
  • Immunology 868
  • Physiology 807
  • Biomedical Engineering 518
  • Surgery 504
Alexander R. Pinto Australia
Madeleine Durbeej Sweden
Ok Hee Jeon South Korea
George Dickson United Kingdom
William E. Lowry United States
Akitsu Hotta Japan
Melissa J. Spencer United States
Alessandra Sacco United States
April D. Pyle United States
Alexander R. Pinto Australia View profile →
Citations per field, relative to Young C. Jang
Young C. Jang · 1×
Citations per year, relative to Young C. Jang
Young C. Jang · 1×

Countries citing papers authored by Young C. Jang

Since Specialization
Citations

This map shows the geographic impact of Young 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 Young 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 Young C. Jang more than expected).

Fields of papers citing papers by Young C. Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Young C. Jang. A scholar is included among the top collaborators of Young 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 Young C. Jang. Young C. Jang 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
# Work Indexed citations
1 1
2 17
3 4
4 7
5 1
6 41
7 13
8 38
9 48
10 11
11 179
12 29
13 63
14 58
15 61
16 28
17 36
18 21
19
Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Muscle breakdown →
621
20 83

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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