Jinyu Wu

3.2k citations
73 papers · 1.9k indexed · h-index 26

Impact in

    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies
  • Genetics top 5%
    • Genetics and Neurodevelopmental Disorders
    • Genomics and Rare Diseases

Papers in

    • Genomics and Rare Diseases 14
    • Genomic variations and chromosomal abnormalities 11
    • Genetics and Neurodevelopmental Disorders 11

Jinyu Wu

72 papers receiving 1.9k citations

Peers

Jinyu Wu
Comparison fields: 5 of 123
  • Molecular Biology 1.1k
  • Genetics 441
  • Molecular Medicine 73
  • Cancer Research 218
  • Parasitology 69
Replace Haikun Wang with:
Haikun Wang China
Marcus Gassmann Germany
Xiaohong Li United States
Gabriel Minárik Slovakia
Jing Yao China
Jinliang Li China
Carsten Kuenne Germany
Toshiro K. Ohsumi United States
Luming Zhou United States
Joseph M. Fernandez United States
Jinyu Wu relative to Haikun Wang China Haikun Wang's profile →
Citations per field
00.5×3.8×
Haikun Wang · 1×
Citations per year

Countries citing papers authored by Jinyu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinyu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 202234
3 20213
4 202124
5 202044
6 202010
7 201924
8 201820
9 201867
10 201722
11 20155
12 201429
13 20143
14 201222
15 201125
16 201067
17 200910
18 20094
19 20085
20 200721

About Jinyu Wu

Jinyu Wu is a scholar working on Microbiology, Genetics, Molecular Medicine, Molecular Biology and Cancer Research, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (14 papers), Genomics and Phylogenetic Studies (11 papers), Genomic variations and chromosomal abnormalities (11 papers), Genetics and Neurodevelopmental Disorders (11 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Genetics (441 citations), Molecular Medicine (73 citations), Cancer Research (218 citations) and Parasitology (69 citations). Jinyu Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhong Sheng Sun, Fangqing Zhao, Qiyu Bao, Yuanyuan Dong, Jinchen Li, Tao Cai, Qi Liu, Xiuming Liu, Jing Yang and Ran Xia. Their work appears in journals such as Genomics, Human Mutation, Nucleic Acids Research, Journal of genetics and genomics 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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