Dongmin Dang

28 papers receiving 991 citations

Peers

Dongmin Dang
Comparison fields: 5 of 84
  • Immunology and Allergy 214
  • Anesthesiology and Pain Medicine 72
  • Cancer Research 125
  • Sensory Systems 41
  • Psychiatry and Mental health 109
Replace Susan M. MacDonald with:
Susan M. MacDonald United States
Suren Soghomonyan United States
Jiaqing Pang United States
Jun Utsumi Japan
Melanie Müller Germany
Frederico S. Regateiro Portugal
Mark L. Richards United States
Sokratis Trellakis Germany
Shaomin Yang China
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Dongmin Dang relative to Susan M. MacDonald United States Susan M. MacDonald's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Dongmin Dang, 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 Dongmin Dang Line = papers co-authored together Dongmin Dang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011125
2 2002110
3 200383
4 201269
5
The role of the integrin alpha v beta6 in regulating the epithelial to mesenchymal transition in oral cancer.
200961
6 201259
7 200551
8 201148
9 201448
10 201544
11 200441
12 201432
13 201729
14 201228
15
Stem cell markers as predictors of oral cancer invasion.
201225
16
Expression of Fyn kinase modulates EMT in oral cancer cells.
201022
17 201620
18
EMMPRIN modulates migration and deposition of TN-C in oral squamous carcinoma.
200819
19 201517
20 201716

About Dongmin Dang

Dongmin Dang is a scholar working on Immunology and Allergy, Molecular Biology, Cell Biology, Oncology and Cancer Research, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (11 papers), Protease and Inhibitor Mechanisms (5 papers), Cellular Mechanics and Interactions (5 papers), Cancer Cells and Metastasis (4 papers), Cancer-related gene regulation (4 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Pain Mechanisms and Treatments (3 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology and Allergy (214 citations), Anesthesiology and Pain Medicine (72 citations), Cancer Research (125 citations), Sensory Systems (41 citations) and Psychiatry and Mental health (109 citations). Dongmin Dang has collaborated with scholars based in United States, Russia and Japan. Frequent 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. Their work appears in journals such as Biochemical and Biophysical Research Communications, Pain, Journal of Pain, Scientific Reports and Clinical Cancer Research.

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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