Helen Chae

480 citations
3 papers · 387 · h-index 3

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions
    • Immunotherapy and Immune Responses
    • Psoriasis: Treatment and Pathogenesis
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Cytokine Signaling Pathways and Interactions 1
    • Cancer Cells and Metastasis 1
    • TGF-β signaling in diseases 1
    • Angiogenesis and VEGF in Cancer 1

Helen Chae

3 papers receiving 384 citations

Peers

Helen Chae
Comparison fields: 5 of 51
  • Oncology 245
  • Immunology 186
  • Molecular Biology 186
  • Immunology and Allergy 15
  • Cancer Research 34
Replace M. N. Stakheyeva with:
M. N. Stakheyeva Russia
Ryuji Okuyama Japan
Lucas Blanchard United States
Moran Yang China
Hyesuk Yoon United States
Thaiz Rivera Vargas France
Madhura Modak Austria
Samantha Pretto Belgium
Aodrenn Spill France
Annunziata Nigro Italy
Helen Chae relative to M. N. Stakheyeva Russia M. N. Stakheyeva's profile →
Citations per field
00.5×10×16×
M. N. Stakheyeva · 1×
Citations per year

Countries citing papers authored by Helen Chae

Since Specialization
Citations

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

Fields of papers citing papers by Helen Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Helen Chae, 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 Helen Chae Line = papers co-authored together Helen Chae links everyone, so they are left out of the graph.

All Works

About Helen Chae

Helen Chae is a scholar working on Oncology, Molecular Biology, Critical Care and Intensive Care Medicine, Neurology and Endocrinology, Diabetes and Metabolism, having authored 3 papers that have together received 387 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (1 paper), Long-Term Effects of COVID-19 (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), TGF-β signaling in diseases (1 paper), Diabetic Foot Ulcer Assessment and Management (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Immunotherapy and Immune Responses (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (245 citations), Immunology (186 citations), Molecular Biology (186 citations), Immunology and Allergy (15 citations) and Cancer Research (34 citations). Helen Chae has collaborated with scholars based in United States, South Korea and Malaysia. Frequent co-authors include Jeong‐Seok Nam, Mizuko Mamura, Lalage M. Wakefield, Mi‐Jin Kang, Masaki Terabe, Jay A. Berzofsky, Scott Lonning, Aleksandra M. Michalowska, Nga Voong and Yu-an Yang. Their work appears in journals such as Cancer Research and Cardiopulmonary Physical Therapy Journal.

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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