Yan Tie

1.9k citations
24 papers · 1.2k · 2 hit papers · h-index 15

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Cancer Cells and Metastasis 2
    • CAR-T cell therapy research 2

Yan Tie

22 papers receiving 1.2k citations

Yan Tie's Hit Papers

Targeted therapy for head and neck cancer: signaling pathways and clinical studies 2023 · 152 citations
1520+1+2Years since publication100200300

Peers

Yan Tie
Comparison fields: 5 of 101
  • Immunology 337
  • Oncology 403
  • Cancer Research 137
  • Otorhinolaryngology 37
  • Molecular Biology 389
Replace Weiye Deng with:
Weiye Deng China
Huimin Tian China
Anja Derer Germany
Gabriele Gamerith Austria
Kyoko Hida Japan
Xiuyun Tian China
Chengzhe Yang China
Yan Tie relative to Weiye Deng China Weiye Deng's profile →
Citations per field
00.5×2.8×
Weiye Deng · 1×
Citations per year

Countries citing papers authored by Yan Tie

Since Specialization
Citations

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

Fields of papers citing papers by Yan Tie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Immunosuppressive cells in cancer: mechanisms and potential therapeutic targets
Hit paper breakdown →
2022370
2
Targeted therapy for head and neck cancer: signaling pathways and clinical studies
Hit paper breakdown →
2023152
3 2020134
4 2020129
5 2022104
6 202056
7 201944
8 201642
9 202033
10 201930
11 202129
12 202325
13 201924
14 201817
15 201816
16 202214
17 201911
18 20254
19 20212
20 20182

About Yan Tie

Yan Tie is a scholar working on Oncology, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Sarcoma Diagnosis and Treatment (3 papers), Cancer, Lipids, and Metabolism (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (2 papers), Immune Cell Function and Interaction (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (337 citations), Oncology (403 citations), Cancer Research (137 citations), Otorhinolaryngology (37 citations) and Molecular Biology (389 citations). Yan Tie has collaborated with scholars based in China and United States. Frequent co-authors include Fan Tang, Xiawei Wei, Shi H, Chongqi Tu, Xuelei Ma, Aqu Alu, Qingfang Li, Dandan Peng, Ye Zhang and Heng Zheng. Their work appears in journals such as Signal Transduction and Targeted Therapy, Frontiers in Endocrinology, International Journal of Cancer, Annals of Surgical Oncology and Journal of Clinical 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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