Yan Tie

1.9k citations
25 papers · 1.4k · 2 hit papers · h-index 15

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Head and Neck Cancer Studies

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Cells and Metastasis 2
    • Cancer, Lipids, and Metabolism 2

Yan Tie

24 papers receiving 1.4k citations

Yan Tie's Hit Papers

Targeted therapy for head and neck cancer: signaling pathways and clinical studies 2023 · 175 citations
1750+1+2Years since publication100200300400

Peers

Yan Tie
Comparison fields: 5 of 86
  • Oncology 415
  • Otorhinolaryngology 85
  • Immunology 229
  • Biomaterials 86
  • Cancer Research 93
Replace Gabriele Gamerith with:
Gabriele Gamerith Austria
Huimin Tian China
Kyoko Hida Japan
Zhennan Yuan China
Lukáš Lacina Czechia
Cuixia Yang China
Masayasu Hara Japan
Miaoqing Zhao China
Takaya Nagasaki Japan
Yan Tie relative to Gabriele Gamerith Austria Gabriele Gamerith's profile →
Citations per field
00.5×2×2.7×
Gabriele Gamerith · 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 25 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 →
2022426
2
Targeted therapy for head and neck cancer: signaling pathways and clinical studies
Hit paper breakdown →
2023175
3 2020150
4 2020140
5 2022116
6 202060
7 201946
8 201645
9 202040
10 202133
11 201932
12 202328
13 201925
14 201818
15 201816
16 202214
17 201913
18 202310
19 20254
20 20213

About Yan Tie

Yan Tie is a scholar working on Oncology, Cancer Research, Immunology, Psychiatry and Mental health and Genetics, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer Cells and Metastasis (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Oncology (415 citations), Otorhinolaryngology (85 citations), Immunology (229 citations), Biomaterials (86 citations) and Cancer Research (93 citations). Yan Tie has collaborated with scholars based in China and United States. Frequent co-authors include Xiawei Wei, Fan Tang, Shi H, Chongqi Tu, Xuelei Ma, Qingfang Li, Aqu Alu, Ye Zhang, Dandan Peng and Heng Zheng. Their work appears in journals such as Annals of Surgical Oncology, Signal Transduction and Targeted Therapy, International Journal of Cancer, Frontiers in Endocrinology and Oncotarget.

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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