Xiangyuan Wan

5.5k citations
102 papers · 3.9k indexed · 1 hit paper · h-index 32
  • Plant Science top 0.5%
    • Plant Molecular Biology Research 32
    • GABA and Rice Research 12
    • Rice Cultivation and Yield Improvement 11
  • Genetics top 1%
    • Genetic Mapping and Diversity in Plants and Animals 21
    • Plant Reproductive Biology 35
    • Photosynthetic Processes and Mechanisms 29
    • Gut microbiota and health 6
    • Plant tissue culture and regeneration 6

Xiangyuan Wan

100 papers receiving 3.8k citations

Hit Papers

Isolation and initial characterization of GW5, a major QT...5512008202620142020100200300400500

Peers

Xiangyuan Wan
Comparison fields: 5 of 107
  • Plant Science 3.3k
  • Genetics 1.3k
  • Molecular Biology 1.7k
  • Biochemistry 127
  • Nutrition and Dietetics 229
Replace Jianmin Wan with:
Jianmin Wan China
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Tobias Kretzschmar Australia
Abhishek Bohra India
Li Zhu China
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Swarup K. Parida India
Junyi Gai China
Xiangyuan Wan relative to Jianmin Wan China Jianmin Wan's profile →
Citations per field
00.5×3.0×
Jianmin Wan · 1×
Citations per year

Countries citing papers authored by Xiangyuan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyuan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20243
3 20245
4 20245
5 202310
6 202310
7 20231
8 202326
9 202310
10 202345
11 202254
12 202214
13 202052
14 20181
15 20182
16 201114
17
Stable expression of QTL for AC and PC of milled rice (Oryza sativa L.) using a CSSL population
20065
18 2006101
19
Analysis on Stability of AC, GT and PC in Rice Varieties (Orzya sativa L.)
20051
20
Stability Analysis for Appearance Qualities of Rice Cultivar
20041

About Xiangyuan Wan

Xiangyuan Wan is a scholar working on Plant Science, Genetics and Molecular Biology, having authored 102 papers that have together received 3.9k indexed citations. Recurring topics across this work include Plant Reproductive Biology (35 papers), Plant Molecular Biology Research (32 papers), Photosynthetic Processes and Mechanisms (29 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers), GABA and Rice Research (12 papers), Rice Cultivation and Yield Improvement (11 papers), Gut microbiota and health (6 papers) and Plant tissue culture and regeneration (6 papers). The work is most often cited by research in Plant Science (3.3k citations), Genetics (1.3k citations) and Molecular Biology (1.7k citations). Xiangyuan Wan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Suowei Wu, Jianmin Wan, Ziwen Li, Xueli An, Jianfeng Weng, Ling Jiang, Huqu Zhai, Zhenying Dong, Quancan Hou and Jinyuan Liu. Their work appears in journals such as Nature Communications, PLoS ONE and Nature Cell Biology.

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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