Yi Tie

3.6k citations
30 papers · 2.9k indexed · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA Interference and Gene Delivery
    • Epigenetics and DNA Methylation

Papers in

    • MicroRNA in disease regulation 15
    • Cancer-related molecular mechanisms research 13
    • Circular RNAs in diseases 10
    • RNA Research and Splicing 10
    • RNA modifications and cancer 8
    • RNA Interference and Gene Delivery 2

Yi Tie

27 papers receiving 2.9k citations

Peers

Yi Tie
Comparison fields: 5 of 104
  • Cancer Research 2.1k
  • Molecular Biology 2.5k
  • Hepatology 76
  • Immunology 169
  • Oncology 190
Replace Hanjiang Fu with:
Hanjiang Fu China
Cheng‐Cao Sun China
K. Reed Clark United States
Jill Magnus United States
Ruiyun Xing China
Phil Kearney Australia
Pierluigi Gasparini United States
Christian Guelly Austria
Touati Benoukraf Singapore
Vickram Srinivas United States
Yi Tie relative to Hanjiang Fu China Hanjiang Fu's profile →
Citations per field
00.5×1.5×
Hanjiang Fu · 1×
Citations per year

Countries citing papers authored by Yi Tie

Since Specialization
Citations

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

Fields of papers citing papers by Yi Tie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 2015144
3 201522
4 201448
5 201249
6 201269
7 201134
8 2010127
9 201015
10 200931
11 200817
12 2008424
13 2008345
14 2008145
15 200650
16 200686
17 200538
18 200566
19 2005173
20
Late Miocene Woods of Taxodiaceae from Yunnan, China
20031

About Yi Tie

Yi Tie is a scholar working on Cancer Research, Molecular Biology, Oncology, Animal Science and Zoology and Aerospace Engineering, having authored 30 papers that have together received 2.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (13 papers), Circular RNAs in diseases (10 papers), RNA Research and Splicing (10 papers), RNA modifications and cancer (8 papers), Aluminum Alloy Microstructure Properties (2 papers), RNA Interference and Gene Delivery (2 papers) and Microstructure and mechanical properties (2 papers). The work is most often cited by research in Cancer Research (2.1k citations), Molecular Biology (2.5k citations), Hepatology (76 citations), Immunology (169 citations) and Oncology (190 citations). Yi Tie has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hanjiang Fu, Xiaofei Zheng, Zhixian Sun, Jie Zhu, Ruiyun Xing, Fang Sun, Yongge Wu, Zheng Hu, Qin Liu and Xiaofei Zheng. Their work appears in journals such as FEBS Letters, Oncology Reports, Cellular Signalling, Nucleic Acids Research and PLoS ONE.

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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