Yingxi Yang

1.1k citations
31 papers · 735 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Circular RNAs in diseases

Papers in

    • Machine Learning in Bioinformatics 7
    • Genomics and Phylogenetic Studies 3
    • RNA and protein synthesis mechanisms 3
    • vaccines and immunoinformatics approaches 3
    • Vascular Malformations Diagnosis and Treatment 5
    • Intracerebral and Subarachnoid Hemorrhage Research 5
    • Intracranial Aneurysms: Treatment and Complications 5

Yingxi Yang

30 papers receiving 724 citations

Peers

Yingxi Yang
Comparison fields: 5 of 105
  • Cancer Research 119
  • Molecular Biology 440
  • Neurology 92
  • Complementary and alternative medicine 39
  • Pharmacology 34
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Citations per year

Countries citing papers authored by Yingxi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yingxi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201988
2 201985
3 201666
4 201962
5 201957
6 202155
7 202152
8 201946
9 201933
10 202132
11 201924
12 201820
13 202115
14 202113
15 202313
16 201911
17 201910
18 202210
19 20187
20 20196

About Yingxi Yang

Yingxi Yang is a scholar working on Molecular Biology, Neurology, Cancer Research, Oncology and Rheumatology, having authored 31 papers that have together received 735 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Genomics and Phylogenetic Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), vaccines and immunoinformatics approaches (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cancer Research (119 citations), Molecular Biology (440 citations), Neurology (92 citations), Complementary and alternative medicine (39 citations) and Pharmacology (34 citations). Yingxi Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yan Xu, Junping Zhang, Qiujin Jia, Zhongwen Qi, Hui Wang, Jiguang Wang, Ao Zhang, Huan Zhou, Shilong Chen and Yongcui Wang. Their work appears in journals such as BMC Bioinformatics, Biomedicine & Pharmacotherapy, Briefings in Bioinformatics, The American Journal of Human Genetics and Journal of Green Building.

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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