Li‐Chin Yao

2.0k citations
29 papers · 1.3k · h-index 14

Impact in

  • Oncology top 5%
    • Lymphatic System and Diseases
    • Cancer Cells and Metastasis
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Lymphatic System and Diseases 5
    • Cancer Cells and Metastasis 5
    • CAR-T cell therapy research 5
    • Immunotherapy and Immune Responses 5

Li‐Chin Yao

28 papers receiving 1.3k citations

Peers

Li‐Chin Yao
Comparison fields: 5 of 79
  • Oncology 632
  • Immunology 235
  • Immunology and Allergy 48
  • Molecular Biology 529
  • Physiology 156
Replace Kacper Jankowski with:
Kacper Jankowski United States
Angela A. Vitali Australia
Kiyotsugu Yoshikawa Japan
Simon J. A. Buczacki United Kingdom
Heather Zecchini United Kingdom
Mario Di Matteo Belgium
Ken Sasai Japan
Peter J. Hurlin United States
Paul W. Tetteh United States
Keiji Furuuchi Japan
Li‐Chin Yao relative to Kacper Jankowski United States Kacper Jankowski's profile →
Citations per field
00.5×4.5×
Kacper Jankowski · 1×
Citations per year

Countries citing papers authored by Li‐Chin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Chin Yao. 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 Li‐Chin Yao. The network helps show where Li‐Chin Yao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017242
2 2011195
3 2009168
4 2012157
5 2003106
6 200071
7 201059
8 201454
9 201948
10 200945
11 201739
12 202233
13 200832
14 201114
15 201312
16 201011
17 202310
18 20148
19 20164
20 20222

About Li‐Chin Yao

Li‐Chin Yao is a scholar working on Oncology, Immunology, Surgery, Molecular Biology and Biotechnology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Research and Treatments (7 papers), Lymphatic System and Diseases (5 papers), Cancer Cells and Metastasis (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (5 papers), Neonatal Respiratory Health Research (4 papers) and Lymphatic Disorders and Treatments (3 papers). The work is most often cited by research in Oncology (632 citations), Immunology (235 citations), Immunology and Allergy (48 citations), Molecular Biology (529 citations) and Physiology (156 citations). Li‐Chin Yao has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Donald M. McDonald, Peter Bałuk, Jennifer Feng, R. Sathish Srinivasan, Guillermo Oliver, James Keck, Michael A. Brehm, Mingshan Cheng, Beverly L. Falcón and Weon‐Kyoo You. Their work appears in journals such as Cancer Research, American Journal Of Pathology, The FASEB Journal, Development and Developmental Dynamics.

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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