Danna Chung

13 papers receiving 245 citations

Peers

Danna Chung
Comparison fields: 5 of 57
  • Immunology and Allergy 77
  • Dermatology 33
  • Aging 7
  • Public Health, Environmental and Occupational Health 51
  • Molecular Biology 99
Replace Hendrik Reuter with:
Hendrik Reuter Germany
Thinh Chau United States
Kirsten Roebrock Germany
Misako Tanaka Japan
Feng Hua China
Stephanie L. Nay United States
Jari Mikkola Finland
Timothy P. Kingston United Kingdom
Nestor González Roldán Germany
Junko Arikawa Japan
Danna Chung relative to Hendrik Reuter Germany Hendrik Reuter's profile →
Citations per field
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Hendrik Reuter · 1×
Citations per year

Countries citing papers authored by Danna Chung

Since Specialization
Citations

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

Fields of papers citing papers by Danna Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200987
2
Glutathione-S-Transferase as a selective inhibitor of oncogenic ras-p21-induced mitogenic signaling through blockade of activation of jun by jun-N-terminal kinase.
200036
3 199229
4 200827
5 200022
6 202312
7 200512
8 202310
9 20059
10 20145
11 20204
12 20231
13 20221

About Danna Chung

Danna Chung is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology and Allergy, Pharmacology and Dermatology, having authored 13 papers that have together received 255 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (3 papers), Food Allergy and Anaphylaxis Research (2 papers), Acute Myeloid Leukemia Research (1 paper), Glutathione Transferases and Polymorphisms (1 paper), Allergic Rhinitis and Sensitization (1 paper), Contact Dermatitis and Allergies (1 paper), Ovarian function and disorders (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Immunology and Allergy (77 citations), Dermatology (33 citations), Aging (7 citations), Public Health, Environmental and Occupational Health (51 citations) and Molecular Biology (99 citations). Danna Chung has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Scott H. Sicherer, Matthew R. Pincus, Paul W. Brandt‐Rauf, Charlotte Cunningham‐Rundles, K.A. Bloom, Ziro Yamaizumi, I. Bernard Weinstein, Ze’ev A. Ronai, Randall B. Murphy and Susumu Nishimura. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Proceedings of the National Academy of Sciences, Frontiers in Immunology, BMC Complementary and Alternative Medicine and Frontiers in Endocrinology.

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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