Jia Yu

7.1k total citations · 1 hit paper
103 papers, 4.7k citations indexed

About

Jia Yu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jia Yu has authored 103 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 63 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Jia Yu's work include MicroRNA in disease regulation (43 papers), Cancer-related molecular mechanisms research (40 papers) and RNA modifications and cancer (37 papers). Jia Yu is often cited by papers focused on MicroRNA in disease regulation (43 papers), Cancer-related molecular mechanisms research (40 papers) and RNA modifications and cancer (37 papers). Jia Yu collaborates with scholars based in China, United States and United Kingdom. Jia Yu's co-authors include Jun‐Wu Zhang, Yanni Ma, Fang Wang, Robert M. Lavker, Changzheng Liu, Fang Wang, Guihua Yang, Anees Fatima, Spiro Getsios and Shuangni Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Jia Yu

95 papers receiving 4.7k citations

Hit Papers

The m6A reader YTHDF1 promotes ovarian cancer progression... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers

Jia Yu
Comparison fields: 5 of 106
  • Molecular Biology 3.8k
  • Cancer Research 3.1k
  • Oncology 359
  • Immunology 319
  • Surgery 190
Replace Stefan J. Erkeland with:
Stefan J. Erkeland Netherlands
Jinmai Jiang United States
Sylwia E. Wojcik United States
Zhaoqun Deng China
Xudong Wang China
Hanjiang Fu China
Evan Noch United States
Cinzia Sevignani United States
Susanna Obad United States
Shuangli Mi China
Stefan J. Erkeland Netherlands View profile →
Citations per field, relative to Jia Yu
Jia Yu · 1×
Citations per year, relative to Jia Yu
Jia Yu · 1×

Countries citing papers authored by Jia Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Yu. A scholar is included among the top collaborators of Jia Yu 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 Jia Yu. Jia Yu 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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 4
6 2
7 13
8 2
9 5
10
The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation breakdown →
530
11 14
12 52
13 55
14 236
15 83
16 52
17 278
18 59
19 71
20
Hierarchy of the human natural killer cell response is determined by class and quantity of inhibitory receptors for self-HLA-B and HLA-C ligands (Journal of Immunology (2007) 179 (5977-5989))
8

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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