Dongmin Dang

1.2k total citations
29 papers, 994 citations indexed

About

Dongmin Dang is a scholar working on Immunology and Allergy, Molecular Biology and Cell Biology. According to data from OpenAlex, Dongmin Dang has authored 29 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology and Allergy, 10 papers in Molecular Biology and 9 papers in Cell Biology. Recurrent topics in Dongmin Dang's work include Cell Adhesion Molecules Research (11 papers), Cancer, Stress, Anesthesia, and Immune Response (6 papers) and Pain Mechanisms and Treatments (5 papers). Dongmin Dang is often cited by papers focused on Cell Adhesion Molecules Research (11 papers), Cancer, Stress, Anesthesia, and Immune Response (6 papers) and Pain Mechanisms and Treatments (5 papers). Dongmin Dang collaborates with scholars based in United States, Japan and Russia. Dongmin Dang's co-authors include Brian L. Schmidt, Daniel M. Ramos, Chi T. Viet, David K. Lam, Yi Ye, John C. Dolan, Amha Atakilit, Joseph A. Regezi, Xiaowu Li and James R. Bamburg and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Dongmin Dang

28 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongmin Dang United States 18 425 229 226 198 144 29 994
Jun Utsumi Japan 21 676 1.6× 112 0.5× 44 0.2× 178 0.9× 142 1.0× 55 1.3k
Suren Soghomonyan United States 17 519 1.2× 259 1.1× 22 0.1× 149 0.8× 192 1.3× 48 1.5k
Min Han United States 13 423 1.0× 121 0.5× 29 0.1× 261 1.3× 90 0.6× 32 1.1k
Masaji Murakami Japan 16 257 0.6× 135 0.6× 37 0.2× 85 0.4× 118 0.8× 52 873
Susan M. MacDonald United States 17 293 0.7× 160 0.7× 285 1.3× 359 1.8× 55 0.4× 30 1.4k
Kathë A. Stanness United States 10 359 0.8× 228 1.0× 163 0.7× 100 0.5× 70 0.5× 13 1.3k
Richard C. Chou United States 16 347 0.8× 120 0.5× 106 0.5× 213 1.1× 27 0.2× 29 1.2k
Bruce R. Lester United States 15 293 0.7× 96 0.4× 120 0.5× 62 0.3× 66 0.5× 28 603
Maki Ishii Japan 20 739 1.7× 48 0.2× 66 0.3× 77 0.4× 172 1.2× 45 1.5k
Sarah Bolton United Kingdom 18 611 1.4× 109 0.5× 223 1.0× 259 1.3× 59 0.4× 34 1.5k

Countries citing papers authored by Dongmin Dang

Since Specialization
Citations

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

Fields of papers citing papers by Dongmin Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongmin Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongmin Dang. A scholar is included among the top collaborators of Dongmin Dang 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 Dongmin Dang. Dongmin Dang 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.
Dang, Dongmin, Yoshinobu Kamio, Hiroshi Makino, et al.. (2025). Protective Effect of Resveratrol Against Intracranial Aneurysm Rupture in Mice. Journal of Neuroscience Research. 103(6). e70059–e70059.
2.
Dang, Dongmin, Yi Ye, Bradley E. Aouizerat, et al.. (2020). Targeting the endothelin axis as a therapeutic strategy for oral cancer metastasis and pain. Scientific Reports. 10(1). 20832–20832. 7 indexed citations
3.
Ono, Kentaro, Chi T. Viet, Yi Ye, et al.. (2017). Cutaneous pigmentation modulates skin sensitivity via tyrosinase-dependent dopaminergic signalling. Scientific Reports. 7(1). 9181–9181. 15 indexed citations
4.
Viet, Chi T., Dongmin Dang, Bradley E. Aouizerat, et al.. (2017). OPRM1 Methylation Contributes to Opioid Tolerance in Cancer Patients. Journal of Pain. 18(9). 1046–1059. 27 indexed citations
5.
Lam, David K., et al.. (2015). TMPRSS2, a novel membrane-anchored mediator in cancer pain. Pain. 156(5). 923–930. 44 indexed citations
6.
Ono, Kentaro, Yi Ye, Chi T. Viet, Dongmin Dang, & Brian L. Schmidt. (2015). TRPV1 expression level in isolectin B4-positive neurons contributes to mouse strain difference in cutaneous thermal nociceptive sensitivity. Journal of Neurophysiology. 113(9). 3345–3355. 17 indexed citations
7.
Viet, Chi T., et al.. (2014). Demethylating Drugs as Novel Analgesics for Cancer Pain. Clinical Cancer Research. 20(18). 4882–4893. 32 indexed citations
8.
Viet, Chi T., et al.. (2014). Decitabine Rescues Cisplatin Resistance in Head and Neck Squamous Cell Carcinoma. PLoS ONE. 9(11). e112880–e112880. 47 indexed citations
9.
Lam, David K., Dongmin Dang, Jianan Zhang, John C. Dolan, & Brian L. Schmidt. (2012). Novel Animal Models of Acute and Chronic Cancer Pain: A Pivotal Role for PAR2. Journal of Neuroscience. 32(41). 14178–14183. 68 indexed citations
10.
Tattevin, Pierre, Brian S. Schwartz, Christopher J. Graber, et al.. (2012). Concurrent Epidemics of Skin and Soft Tissue Infection and Bloodstream Infection Due to Community-Associated Methicillin-Resistant Staphylococcus aureus. Clinical Infectious Diseases. 55(6). 781–788. 59 indexed citations
11.
Chang, Joy W., et al.. (2012). αυβ3 Suppresses the RhoA-LIMK1 Pathway in K1735 Melanoma. Journal of the California Dental Association. 40(12). 921–927. 1 indexed citations
12.
Ye, Yi, Dongmin Dang, Chi T. Viet, John C. Dolan, & Brian L. Schmidt. (2012). Analgesia Targeting IB4-Positive Neurons in Cancer-Induced Mechanical Hypersensitivity. Journal of Pain. 13(6). 524–531. 28 indexed citations
13.
Viet, Chi T., et al.. (2011). Re-expression of the methylated EDNRB gene in oral squamous cell carcinoma attenuates cancer-induced pain. Pain. 152(10). 2323–2332. 48 indexed citations
14.
Dang, Dongmin, et al.. (2010). Expression of Fyn kinase modulates EMT in oral cancer cells.. PubMed. 30(7). 2591–6. 22 indexed citations
15.
Dang, Dongmin, James R. Bamburg, & Daniel M. Ramos. (2005). αvβ3 integrin and cofilin modulate K1735 melanoma cell invasion. Experimental Cell Research. 312(4). 468–477. 51 indexed citations
16.
Dang, Dongmin, Xiaowu Li, Amha Atakilit, et al.. (2004). Matrix metalloproteinases and TGFβ1 modulate oral tumor cell matrix. Biochemical and Biophysical Research Communications. 316(3). 937–942. 41 indexed citations
17.
Dang, Dongmin, et al.. (2004). Tenascin-C deposition requires β3 integrin and Src. Biochemical and Biophysical Research Communications. 322(3). 935–942. 12 indexed citations
18.
Dang, Dongmin, Amha Atakilit, Brian L. Schmidt, et al.. (2003). Specific αv integrin receptors modulate K1735 murine melanoma cell behavior. Biochemical and Biophysical Research Communications. 308(4). 814–819. 11 indexed citations
19.
Hu, Yongmei, Dongmin Dang, Joseph A. Regezi, et al.. (2003). αvβ6-Fyn Signaling Promotes Oral Cancer Progression. Journal of Biological Chemistry. 278(43). 41646–41653. 83 indexed citations
20.
Ramos, Daniel M., Joseph A. Regezi, Brian L. Schmidt, et al.. (2002). Expression of integrin β6 enhances invasive behavior in oral squamous cell carcinoma. Matrix Biology. 21(3). 297–307. 110 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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