Ya-Chea Tsai

1.5k citations
46 papers · 1.3k · h-index 21

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immunotherapy and Immune Responses 24
    • Immune Cell Function and Interaction 7
    • Cervical Cancer and HPV Research 9
    • Hepatitis B Virus Studies 3

Ya-Chea Tsai

46 papers receiving 1.2k citations

Peers

Ya-Chea Tsai
Comparison fields: 5 of 91
  • Immunology 664
  • Oncology 297
  • Infectious Diseases 174
  • Epidemiology 304
  • Microbiology 44
Replace Bärbel S. Blaum with:
Bärbel S. Blaum Germany
Maria Tagliamonte Italy
Sofía Casares United States
Tamar Ben-Yedidia Israel
Sune Justesen Denmark
Ang Lin China
Caterina Lapenta Italy
Peter H. Goff United States
Michael Heike Germany
Mariana O. Diniz United Kingdom
Ya-Chea Tsai relative to Bärbel S. Blaum Germany Bärbel S. Blaum's profile →
Citations per field
00.5×1.7×
Bärbel S. Blaum · 1×
Citations per year

Countries citing papers authored by Ya-Chea Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Chea Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Chea Tsai. 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 Ya-Chea Tsai. The network helps show where Ya-Chea Tsai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004155
2 2008131
3 2004107
4 200775
5 200772
6 201567
7 200654
8 201053
9 201451
10 200651
11 201048
12 201241
13 200734
14 200532
15 201331
16 200726
17 201123
18 201423
19 201623
20 202022

About Ya-Chea Tsai

Ya-Chea Tsai is a scholar working on Immunology, Epidemiology, Molecular Biology, Oncology and Biomedical Engineering, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (24 papers), Cervical Cancer and HPV Research (9 papers), Immune Cell Function and Interaction (7 papers), vaccines and immunoinformatics approaches (5 papers), Virus-based gene therapy research (5 papers), Laser Material Processing Techniques (4 papers), Cancer Research and Treatments (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Immunology (664 citations), Oncology (297 citations), Infectious Diseases (174 citations), Epidemiology (304 citations) and Microbiology (44 citations). Ya-Chea Tsai has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Chien‐Fu Hung, T.‐C. Wu, Liangmei He, Shiwen Peng, Cornelia L. Trimble, Archana Monie, Richard B.S. Roden, David A. Boyd, Hongxiu Ji and Warner K. Huh. Their work appears in journals such as Journal of Virology, Clinical Cancer Research, Molecular Therapy, PLoS ONE and Journal of Biomedical Science.

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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