Yi-Ting Chen

482 citations
25 papers · 317 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 2
    • RNA modifications and cancer 2
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3

Yi-Ting Chen

24 papers receiving 311 citations

Peers

Yi-Ting Chen
Comparison fields: 5 of 88
  • Drug Discovery 1
  • Periodontics 11
  • Virology 9
  • Immunology 38
  • Biochemistry 11
Replace George W. Agak with:
George W. Agak United States
Nicolás Corrales Chile
Mo Shen China
Priya Singh India
Elisa Zavattaro Italy
G.E. Piérard Belgium
Congxiu Ye China
Marcos Célio de Almeida Brazil
Chelsea Gerada Australia
Zeng Yuan China
Yi-Ting Chen relative to George W. Agak United States George W. Agak's profile →
Citations per field
00.5×2.8×
George W. Agak · 1×
Citations per year

Countries citing papers authored by Yi-Ting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Ting Chen. 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 Yi-Ting Chen. The network helps show where Yi-Ting Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202065
2 202347
3 201741
4 201241
5 201118
6 202212
7 202211
8 199910
9 201710
10 20179
11 20138
12 20167
13 20077
14 20177
15 20246
16 20233
17 20253
18 20183
19 20202
20 20032

About Yi-Ting Chen

Yi-Ting Chen is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Epidemiology and Genetics, having authored 25 papers that have together received 317 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Immunotherapy and Immune Responses (3 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), Tuberculosis Research and Epidemiology (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Periodontics (11 citations), Virology (9 citations), Immunology (38 citations) and Biochemistry (11 citations). Yi-Ting Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yangjin Bae, Brendan Lee, Jennifer Zieba, John T. Kung, Jinrong Bai, Xiaoyan Liu, Xiaoyan Wang, Hong Gao, Yanping Wu and Yina Huang. Their work appears in journals such as The Journal of Immunology, Journal of Microbiology Immunology and Infection, Scientific Reports, CHEST Journal and Journal of Food Safety.

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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