Jiaxin Wu

978 citations
24 papers · 578 indexed · h-index 8
    • Machine Learning in Bioinformatics 6
    • Genomics and Phylogenetic Studies 6
    • Bioinformatics and Genomic Networks 5
    • Molecular Biology Techniques and Applications 3
    • RNA modifications and cancer 2
    • Genomics and Rare Diseases 9
    • Genetic Associations and Epidemiology 4
    • Genomic variations and chromosomal abnormalities 2

Jiaxin Wu

23 papers receiving 571 citations

Peers

Jiaxin Wu
Comparison fields: 5 of 75
  • Cancer Research 110
  • Molecular Biology 431
  • Genetics 129
  • Immunology 66
  • Oncology 65
Replace Guoqing Tong with:
Guoqing Tong China
BaoHan T. Vo United States
Sveinung Gundersen Norway
Sanna Kaikkonen Finland
Andrew Melvin United Kingdom
Vinay Kumar Rao Singapore
Y. Ning United States
Jue‐Lon Shie United States
Iosifina P. Foskolou United Kingdom
Madlaina Breuleux Switzerland
Jiaxin Wu relative to Guoqing Tong China Guoqing Tong's profile →
Citations per field
00.5×1.5×2.5×
Guoqing Tong · 1×
Citations per year

Countries citing papers authored by Jiaxin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiaxin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 20244
3 20241
4 20241
5 20245
6 20242
7 20193
8 201838
9 2016367
10 201618
11 20159
12 201438
13 20141
14 201353
15 20112
16 20114
17 20111
18 20112
19 20108
20 20091

About Jiaxin Wu

Jiaxin Wu is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 24 papers that have together received 578 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (9 papers), Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (6 papers), Bioinformatics and Genomic Networks (5 papers), Genetic Associations and Epidemiology (4 papers), Molecular Biology Techniques and Applications (3 papers), Genomic variations and chromosomal abnormalities (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (110 citations), Molecular Biology (431 citations) and Genetics (129 citations). Jiaxin Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rui Jiang, Tao Liu, Clifford A. Meyer, Qiu Wu, Chongzhi Zang, Xiaohui Shi, Rongbin Zheng, Muyuan Zhu, Len Taing and X. Shirley Liu. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and International Journal of Hydrogen Energy.

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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