Jun-Mo Yang

25 papers receiving 1.4k citations

Hit Papers

Wound healing effect of adipose-derived stem cells: A critical role of secretory factors on human dermal fibroblasts 2007 · 685 citations
6852007202620132019200400600

Peers

Jun-Mo Yang
Comparison fields: 5 of 103
  • Rehabilitation 426
  • Genetics 441
  • Dermatology 281
  • Urology 167
  • Cell Biology 282
Replace Cecelia C. Yates with:
Cecelia C. Yates United States
Barbara Gawrońska‐Kozak Poland
Latha Satish United States
Tina Lucas Germany
Natalie Yin United States
Corinne Scaletta Switzerland
Horacio Ramirez United States
Tatyana Yufit United States
Matthew Caley United Kingdom
Sebastian Willenborg Germany
Jun-Mo Yang relative to Cecelia C. Yates United States Cecelia C. Yates's profile →
Citations per field
00.5×1.5×2.1×
Cecelia C. Yates · 1×
Citations per year

Countries citing papers authored by Jun-Mo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Mo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Mo Yang. 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 Jun-Mo Yang. The network helps show where Jun-Mo Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun-Mo Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun-Mo Yang Line = papers co-authored together Jun-Mo Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Wound healing effect of adipose-derived stem cells: A critical role of secretory factors on human dermal fibroblasts
Hit paper breakdown →
2007685
2 2010199
3 1994111
4 199465
5 201147
6 201135
7 201428
8 201426
9 201123
10 201120
11 201319
12 200118
13 200915
14 199913
15 199713
16 201111
17 201511
18 199710
19 201010
20 20189

About Jun-Mo Yang

Jun-Mo Yang is a scholar working on Urology, Dermatology, Immunology and Allergy, Cell Biology and Rheumatology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (6 papers), Allergic Rhinitis and Sensitization (4 papers), Dermatology and Skin Diseases (3 papers), Hair Growth and Disorders (3 papers), Urticaria and Related Conditions (2 papers), Contact Dermatitis and Allergies (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Rehabilitation (426 citations), Genetics (441 citations), Dermatology (281 citations), Urology (167 citations) and Cell Biology (282 citations). Jun-Mo Yang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jeong‐Soo Park, Jong-Hyuk Sung, Sherri J. Bale, John G. Compton, John J. DiGiovanna, Virginia Kimonis, Bok Yang Pyun, Eun Young Lee, Seong Gyu Jeon and S.‐W. Hong. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Dermatological Science, Allergy, Journal of the American Academy of Dermatology and Clinical and Experimental Dermatology.

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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