Anke Wang

6.1k citations
16 papers · 157 · 1 hit paper · h-index 7

Impact in

Papers in

    • Bamboo properties and applications 4
    • Plant Stress Responses and Tolerance 2
    • Plant responses to water stress 2
    • Bioinformatics and Genomic Networks 2
    • Gene expression and cancer classification 1

Anke Wang

15 papers receiving 155 citations

Anke Wang's Hit Papers

The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data 2025 · 41 citations
410Years since publication10203040

Peers

Anke Wang
Comparison fields: 5 of 51
  • Polymers and Plastics 18
  • Plant Science 45
  • Environmental Engineering 17
  • Biomaterials 15
  • Soil Science 10
Replace Randhir Singh with:
Randhir Singh India
Simona Lazzeri Italy
Shuaishuai Deng China
Yutao Liu China
Wentao Zhou China
Mai Văn Trịnh Vietnam
Wentao Zou China
Anke Wang relative to Randhir Singh India Randhir Singh's profile →
Citations per field
00.5×3.9×
Randhir Singh · 1×
Citations per year

Countries citing papers authored by Anke Wang

Since Specialization
Citations

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

Fields of papers citing papers by Anke Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data
Hit paper breakdown →
202541
2 201830
3 201921
4 202120
5 202116
6 20216
7 20216
8 20235
9 20243
10 20233
11 20242
12
Progress in Genetic Engineering of Bamboo
20161
13 20131
14 20231
15 20251
16 20240

About Anke Wang

Anke Wang is a scholar working on Plant Science, Molecular Biology, Nature and Landscape Conservation, Ecology and Biomaterials, having authored 16 papers that have together received 157 indexed citations. Recurring topics across this work include Bamboo properties and applications (4 papers), Nanoparticles: synthesis and applications (2 papers), Plant Stress Responses and Tolerance (2 papers), Plant responses to water stress (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Plant Water Relations and Carbon Dynamics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Polymers and Plastics (18 citations), Plant Science (45 citations), Environmental Engineering (17 citations), Biomaterials (15 citations) and Soil Science (10 citations). Anke Wang has collaborated with scholars based in China. Frequent co-authors include Yufang Bi, Jingpeng Li, Yuhe Chen, Zaixing Wu, Xuhua Du, Fan Guo, Sheng He, Yongjie Bao, Yīmíng Bào and K. Liu. Their work appears in journals such as Forests, Genomics Proteomics & Bioinformatics, International Journal of Applied Earth Observation and Geoinformation, Industrial Crops and Products and Briefings in Bioinformatics.

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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