Jun‐Mo Yang

4.0k total citations
173 papers, 2.9k citations indexed

About

Jun‐Mo Yang is a scholar working on Molecular Biology, Cell Biology and Dermatology. According to data from OpenAlex, Jun‐Mo Yang has authored 173 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 52 papers in Cell Biology and 51 papers in Dermatology. Recurrent topics in Jun‐Mo Yang's work include melanin and skin pigmentation (32 papers), Biochemical Analysis and Sensing Techniques (30 papers) and Dermatology and Skin Diseases (23 papers). Jun‐Mo Yang is often cited by papers focused on melanin and skin pigmentation (32 papers), Biochemical Analysis and Sensing Techniques (30 papers) and Dermatology and Skin Diseases (23 papers). Jun‐Mo Yang collaborates with scholars based in South Korea, China and United States. Jun‐Mo Yang's co-authors include Yong‐Doo Park, Jinhyuk Lee, Dong‐Youn Lee, Guo-Ying Qian, Shang‐Jun Yin, Yue-Xiu Si, Jeung‐Hoon Lee, Zhi-Rong Lü, Zhijiang Wang and Yan Li and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Bone and Joint Surgery and Clinical Infectious Diseases.

In The Last Decade

Jun‐Mo Yang

168 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Mo Yang South Korea 30 887 851 841 507 425 173 2.9k
Jürgen Eberle Germany 39 502 0.6× 798 0.9× 2.7k 3.2× 150 0.3× 153 0.4× 125 4.9k
Ute Wölfle Germany 25 188 0.2× 526 0.6× 593 0.7× 173 0.3× 88 0.2× 53 2.1k
Antonio Facchiano Italy 31 298 0.3× 236 0.3× 1.2k 1.5× 83 0.2× 98 0.2× 91 2.9k
Giuseppe Castello Italy 36 252 0.3× 111 0.1× 1.6k 1.9× 410 0.8× 114 0.3× 134 4.5k
Jae Sung Hwang South Korea 25 915 1.0× 663 0.8× 757 0.9× 384 0.8× 17 0.0× 108 2.1k
Li He China 28 301 0.3× 631 0.7× 839 1.0× 84 0.2× 62 0.1× 132 2.2k
Kazuhiko Kaji Japan 30 285 0.3× 81 0.1× 1.5k 1.8× 83 0.2× 95 0.2× 85 3.1k
Tomoya Takahashi Japan 26 179 0.2× 136 0.2× 616 0.7× 84 0.2× 99 0.2× 82 1.7k
Seiji Kawamoto Japan 29 60 0.1× 289 0.3× 982 1.2× 218 0.4× 470 1.1× 119 2.5k
Rosalind E. Jenkins United Kingdom 41 247 0.3× 160 0.2× 2.1k 2.5× 93 0.2× 191 0.4× 103 5.1k

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-authorship network of co-authors of Jun‐Mo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Mo Yang. A scholar is included among the top collaborators of Jun‐Mo Yang 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 Jun‐Mo Yang. Jun‐Mo Yang 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.
Yang, Jun‐Mo, et al.. (2018). Effects of Cu2+ on alkaline phosphatase from Macrobrachium rosenbergii. International Journal of Biological Macromolecules. 117. 116–123. 9 indexed citations
2.
He, Tingyan, et al.. (2017). [Ras-associated autoimmune leukoproliferative disorder: a report of 2 cases and literature review].. PubMed. 55(11). 853–857. 2 indexed citations
3.
Si, Yue-Xiu, Shang‐Jun Yin, Jun‐Mo Yang, et al.. (2015). Molecular dynamics simulation integrating study for Cr3+-binding to arginine kinase. Process Biochemistry. 50(9). 1363–1371. 1 indexed citations
4.
Si, Yue-Xiu, Jinhyuk Lee, Jun‐Mo Yang, et al.. (2014). The effect of Cu2+ on arginine kinase from Euphausia superba: A computational simulation integrating unfolding and aggregation studies. Process Biochemistry. 50(3). 395–405. 5 indexed citations
5.
Lee, Sundong, et al.. (2013). Nationwide Study on the Usage and Characteristics of Patients Visiting Korean Medical Facilities - Based on the Treatment of Major Disorders, Effectiveness, Satisfaction and Occurrence Rate of Side Effects From the Ministry of Welfares Report on Usage and Consumption of Korean Medicine in 2011 -. 17(2). 29–46. 3 indexed citations
6.
Hu, Weijiang, Yan Li, Daeui Park, et al.. (2012). Kinetic, structural and molecular docking studies on the inhibition of tyrosinase induced by arabinose. International Journal of Biological Macromolecules. 50(3). 694–700. 67 indexed citations
7.
Wang, Sufang, Jinhyuk Lee, Wei Wang, et al.. (2012). The effect of Zn2+onPelodiscus sinensiscreatine kinase: unfolding and aggregation studies. Journal of Biomolecular Structure and Dynamics. 31(6). 572–590. 6 indexed citations
8.
Park, Ji‐Hye, Hyun‐Tae Shin, Dong‐Youn Lee, et al.. (2012). World Health Organization–European Organization for Research and Treatment of Cancer classification of cutaneous lymphoma in Korea: A retrospective study at a single tertiary institution. Journal of the American Academy of Dermatology. 67(6). 1200–1209. 38 indexed citations
9.
Cho, Hyejin, et al.. (2009). A Case of the Facial Variant of Eruptive Vellus Hair Cyst. Linchuang pifuke zazhi. 47(4). 498–500. 1 indexed citations
10.
Park, Ji‐Ho, et al.. (2008). Cutaneous Adverse Effects Associated with Sorafenib Therapy (Nexavar®, BAY 43-9006). Linchuang pifuke zazhi. 46(1). 141–143. 1 indexed citations
11.
Yang, Jun‐Mo, et al.. (2008). Angiosarcoma in a Chronically Lymphedematous Leg: A Case of Stewart-Treves Syndrome. Linchuang pifuke zazhi. 46(7). 924–927.
12.
Cho, Hyejin, et al.. (2007). Study for Usefulness of Ultrasonography in the Evaluation of Subcutaneous Nodules. Linchuang pifuke zazhi. 45(6). 529–533. 1 indexed citations
13.
Lee, Dong‐Yun, et al.. (2006). A Survey of Awareness, Knowledge and Behavior Regarding Skin Cancer in Korea. Linchuang pifuke zazhi. 44(4). 405–419. 2 indexed citations
14.
Kim, Won‐Seok, et al.. (2006). A Case of Congenital Lobulated Intradermal Nevus. Linchuang pifuke zazhi. 44(9). 1130–1132. 1 indexed citations
15.
Park, Yong‐Doo, So-Yeon Kim, Sung‐Kyun Ko, et al.. (2006). Two‐dimensional electrophoretic profiling of atopic dermatitis in primary cultured keratinocytes from patients. PROTEOMICS. 6(4). 1362–1370. 20 indexed citations
16.
Lee, Kwangjun, et al.. (2005). A Case of Acneiform Eruption Occurring after Injection of Cetuximab (Erbitux^{\circledR}, IMC-C225). Linchuang pifuke zazhi. 43(10). 1423–1425.
17.
Lee, Woonghee, Sunhyae Jang, Jung‐Suk Lee, et al.. (2005). Molecular Cloning and Expression of Human Keratinocyte Proline-Rich Protein (hKPRP), an Epidermal Marker Isolated from Calcium-Induced Differentiating Keratinocytes. Journal of Investigative Dermatology. 125(5). 995–1000. 15 indexed citations
18.
Lee, Kwangjun, et al.. (2005). To the Editor. Dermatologic Surgery. 31(10). 1374–1374.
19.
Park, Yong‐Doo, et al.. (2003). A New Continuous Spectrophotometric Assay Method for DOPA Oxidase Activity of Tyrosinase. Journal of Protein Chemistry. 22(5). 473–480. 16 indexed citations
20.
Park, Yong‐Doo, Jae-Rin Lee, Kyung‐Hee Park, et al.. (2003). Aggregation and Folding of Recombinant Human Creatine Kinase. Journal of Protein Chemistry. 22(6). 563–570. 14 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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