Yating Li

1.6k citations
52 papers · 651 · h-index 16

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research

Papers in

    • Extracellular vesicles in disease 4
    • RNA Interference and Gene Delivery 3
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 4

Yating Li

48 papers receiving 646 citations

Peers

Yating Li
Comparison fields: 5 of 94
  • Immunology 163
  • Oncology 198
  • Cancer Research 80
  • Immunology and Allergy 25
  • Biomaterials 49
Replace David O. Holtz with:
David O. Holtz United States
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Mousa Mohammadnia‐Afrouzi Iran
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Yating Li relative to David O. Holtz United States David O. Holtz's profile →
Citations per field
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David O. Holtz · 1×
Citations per year

Countries citing papers authored by Yating Li

Since Specialization
Citations

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

Fields of papers citing papers by Yating Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Isolation and identification of cancer stem-like cells from murine melanoma cell lines.
2007116
2 201080
3 202337
4 200929
5 200929
6 201923
7 200822
8 201821
9 201420
10 202119
11 200917
12 201917
13 200717
14 202216
15 201916
16 202215
17 202013
18 202013
19 202111
20
Effects of dermatophagoides pteronyssinus allergen-specific immunotherapy on the serum interleukin-13 and pulmonary functions in asthmatic children.
200911

About Yating Li

Yating Li is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 651 indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (6 papers), Immunotherapy and Immune Responses (5 papers), Cancer Cells and Metastasis (4 papers), Immune Cell Function and Interaction (4 papers), MicroRNA in disease regulation (4 papers), Congenital Anomalies and Fetal Surgery (4 papers), Extracellular vesicles in disease (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Immunology (163 citations), Oncology (198 citations), Cancer Research (80 citations), Immunology and Allergy (25 citations) and Biomaterials (49 citations). Yating Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jui‐Yang Lai, Jun Dou, Fengshu Zhao, Lili Chu, Kai Hu, Weihua Hu, Ning Gu, Ping Wen, Meng Pan and Quan Tang. Their work appears in journals such as Frontiers in Immunology, Immunobiology, Frontiers in Veterinary Science, Acta Tropica and Journal of Oncology.

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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