Wenxia Su

425 citations
27 papers · 333 · h-index 12

Impact in

Papers in

    • Machine Learning in Bioinformatics 3
    • Genomics and Chromatin Dynamics 3
    • RNA and protein synthesis mechanisms 3
    • Genomics and Phylogenetic Studies 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Perovskite Materials and Applications 3
    • Advanced battery technologies research 3

Wenxia Su

25 papers receiving 327 citations

Peers

Wenxia Su
Comparison fields: 5 of 68
  • Electronic, Optical and Magnetic Materials 60
  • Genetics 26
  • Condensed Matter Physics 28
  • Molecular Biology 140
  • Renewable Energy, Sustainability and the Environment 29
Replace Jongwon Lim with:
Jongwon Lim United States
Gennadi V. Glinsky United States
Samanta Cimitan Italy
Lin Niu China
Anna S. Kichkailo Russia
Shuming Hu China
Gongping Wang China
Jing Shu China
Duanzhi Yin China
Wenxia Su relative to Jongwon Lim United States Jongwon Lim's profile →
Citations per field
00.5×
Jongwon Lim · 1×
Citations per year

Countries citing papers authored by Wenxia Su

Since Specialization
Citations

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

Fields of papers citing papers by Wenxia Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202242
2 201741
3 201237
4 201535
5 202132
6 201218
7 202115
8 201814
9 201914
10 202413
11 201511
12 201611
13 20168
14 20236
15 20176
16 20206
17 20244
18 20244
19 20194
20 20213

About Wenxia Su

Wenxia Su is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials and Condensed Matter Physics, having authored 27 papers that have together received 333 indexed citations. Recurring topics across this work include Magnetic and transport properties of perovskites and related materials (5 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), Perovskite Materials and Applications (3 papers), Advanced battery technologies research (3 papers), Genomics and Phylogenetic Studies (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (60 citations), Genetics (26 citations), Condensed Matter Physics (28 citations), Molecular Biology (140 citations) and Renewable Energy, Sustainability and the Environment (29 citations). Wenxia Su has collaborated with scholars based in China, Czechia and Belgium. Frequent co-authors include Yongchun Zuo, Qian‐Zhong Li, Wenli Liu, Sun Hanying, Wen Jin, Haiming Lu, Lifang Huang, Fankai Meng, Dunhui Wang and Youwei Du. Their work appears in journals such as Gene, RSC Advances, Nature Communications, Medicine and Journal of Material Science and Technology.

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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