Yi Niu

2.5k citations
42 papers · 1.8k indexed · 2 hit papers · h-index 18
Topics
RNA modifications and cancer (15 papers)Cancer-related molecular mechanisms research (10 papers)MicroRNA in disease regulation (9 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaThe EMBO Journal
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Yi Niu

39 papers receiving 1.8k citations

Hit Papers

RNA N6-methyladenosine demethylase FTO promotes breast tu...201920262021202320192020100200300400

Peers

Yi Niu
Comparison fields: 5 of 104
  • Molecular Biology 1.5k
  • Cancer Research 982
  • Oncology 201
  • Electrical and Electronic Engineering 135
  • Pulmonary and Respiratory Medicine 128
Replace Arabella Wan with:
Arabella Wan China
Ting Wei China
Junhu Wan China
Nathan Ungerleider United States
Xuan Yang China
Liangliang Ren China
Yi Sang China
Shuhan Sun China
Yi Niu relative to Arabella Wan China Arabella Wan's profile →
Citations per field
00.5×4.1×
Arabella Wan · 1×
Citations per year

Countries citing papers authored by Yi Niu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Niu. A scholar is included among the top collaborators of Yi Niu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yi Niu. Yi Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 2
4 19
5 0
6 1
7 13
8 56
9 91
10 86
11 15
12
RNA N6-methyladenosine demethylase FTO promotes breast tumor progression through inhibiting BNIP3breakdown →
455
13 46
14 68
15 40
16 59
17 21
18 7
19 98
20 1

About Yi Niu

Yi Niu is a scholar working on Cancer Research, Statistics and Probability and Molecular Biology, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (15 papers), Cancer-related molecular mechanisms research (10 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Cancer Research (982 citations), Molecular Biology (1.5k citations) and Oncology (201 citations). Yi Niu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guohui Wan, Ziyou Lin, Arabella Wan, Lei Sun, Heng Liang, Xianzhang Bu, Weiling He, Honglei Chen, Dongshi Chen and Xiaobin Wu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and The EMBO Journal.

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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