Ton Dang

401 citations
14 papers · 296 · h-index 8

Impact in

    • Complement system in diseases
    • Psoriasis: Treatment and Pathogenesis
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Renal Diseases and Glomerulopathies

Papers in

    • Cytokine Signaling Pathways and Interactions 4
    • Cancer Immunotherapy and Biomarkers 3
    • Chemokine receptors and signaling 2
    • Psoriasis: Treatment and Pathogenesis 4
    • Immune Cell Function and Interaction 2

Ton Dang

13 papers receiving 290 citations

Peers

Ton Dang
Comparison fields: 5 of 56
  • Immunology 158
  • Nephrology 31
  • Dermatology 26
  • Genetics 23
  • Biological Psychiatry 5
Replace Xiang-Pei Li with:
Xiang-Pei Li China
Jon Waarst Gregersen Denmark
Latasha Abeynaike Australia
Aurélie Tormo Canada
Nina Kello United States
Veronika Weyer‐Elberich Germany
Ye He China
Mykyta Artomov United States
Nathan Richoz United Kingdom
Tianpen Cui China
Ton Dang relative to Xiang-Pei Li China Xiang-Pei Li's profile →
Citations per field
00.5×1.6×
Xiang-Pei Li · 1×
Citations per year

Countries citing papers authored by Ton Dang

Since Specialization
Citations

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

Fields of papers citing papers by Ton Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2016117
2 201457
3 201742
4 201921
5 201919
6
Immature dendritic cells expressing indoleamine 2,3-dioxygenase suppress ovalbumin-induced allergic airway inflammation in mice.
201110
7 20179
8 20188
9 20185
10 20054
11 20181
12 20221
13 20191
14 20181

About Ton Dang

Ton Dang is a scholar working on Oncology, Immunology, Dermatology, Pulmonary and Respiratory Medicine and Rheumatology, having authored 14 papers that have together received 296 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Dermatology and Skin Diseases (2 papers), Chemokine receptors and signaling (2 papers), Urticaria and Related Conditions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (158 citations), Nephrology (31 citations), Dermatology (26 citations), Genetics (23 citations) and Biological Psychiatry (5 citations). Ton Dang has collaborated with scholars based in United States and China. Frequent co-authors include Thomas J. Schall, Linda Ertl, Penglie Zhang, Israel Charo, Yibin Zeng, Shichang Miao, James J. Campbell, Rajinder Singh, Pirow Bekker and Daniel E. Johnson. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Journal of Investigative Dermatology, Lung Cancer and Annals of Oncology.

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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