Chih‐Ping Mao

1.1k citations
18 papers · 824 · h-index 13

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Antimicrobial Peptides and Activities

Papers in

    • Immunotherapy and Immune Responses 15
    • Immune cells in cancer 3
    • Immune Cell Function and Interaction 2
    • RNA Interference and Gene Delivery 5

Chih‐Ping Mao

18 papers receiving 817 citations

Peers

Chih‐Ping Mao
Comparison fields: 5 of 87
  • Immunology 346
  • Microbiology 70
  • Oncology 299
  • Cancer Research 116
  • Molecular Biology 410
Replace Silvia Valensin with:
Silvia Valensin Italy
Jemila C. Kester United States
Sreekumar Balan United States
Martine Mazel France
Genc Basha Canada
Xinhui Wang United States
Madiha Derouazi Switzerland
Zhongfeng Ye United States
Raghvendra M. Srivastava United States
Dinja Oosterhoff Netherlands
Chih‐Ping Mao relative to Silvia Valensin Italy Silvia Valensin's profile →
Citations per field
00.5×4.6×
Silvia Valensin · 1×
Citations per year

Countries citing papers authored by Chih‐Ping Mao

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Ping Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Ping Mao. 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 Chih‐Ping Mao. The network helps show where Chih‐Ping Mao may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2012152
2 202094
3 201391
4 200985
5 201772
6 201263
7 201552
8 201241
9 201941
10 200826
11 202123
12 201522
13 200615
14 200711
15 201210
16 201010
17 20098
18 20188

About Chih‐Ping Mao

Chih‐Ping Mao is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Epidemiology, having authored 18 papers that have together received 824 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), RNA Interference and Gene Delivery (5 papers), Virus-based gene therapy research (3 papers), CAR-T cell therapy research (3 papers), Immune cells in cancer (3 papers), Cancer Immunotherapy and Biomarkers (3 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 (346 citations), Microbiology (70 citations), Oncology (299 citations), Cancer Research (116 citations) and Molecular Biology (410 citations). Chih‐Ping Mao has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include T.‐C. Wu, Chien‐Fu Hung, Tae Woo Kim, Kyung Hee Noh, Tae Heung Kang, Kwon‐Ho Song, Annie A. Wu, Chi-Mu Chuang, Young Ho Lee and Archana Monie. Their work appears in journals such as Human Gene Therapy, Cancer Research, Nature Biomedical Engineering, Clinical Cancer Research and Immunology.

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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