Yan‐Xia Mai

527 citations
11 papers · 386 · h-index 7

Impact in

    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant nutrient uptake and metabolism
    • Light effects on plants
    • Chromosomal and Genetic Variations
    • Plant Reproductive Biology
    • Plant Gene Expression Analysis
    • Photosynthetic Processes and Mechanisms

Papers in

    • Plant Reproductive Biology 6
    • RNA and protein synthesis mechanisms 1
    • Plant Gene Expression Analysis 1
    • Plant Molecular Biology Research 8
    • Plant Parasitism and Resistance 2
    • Chromosomal and Genetic Variations 1
    • Polysaccharides and Plant Cell Walls 1

Yan‐Xia Mai

10 papers receiving 381 citations

Peers

Yan‐Xia Mai
Comparison fields: 5 of 24
  • Plant Science 361
  • Molecular Biology 247
  • Horticulture 2
  • Endocrinology 4
  • Cancer Research 9
Replace Amira Kramdi with:
Amira Kramdi France
Geraldo Felipe Ferreira e Silva Brazil
Peter Venhuizen Austria
Shabari Sarkar Das India
Zhaorong Ma United States
Alicja B Kunkowska Italy
April D. Estrada United States
Soon-Kap Kim Saudi Arabia
Xiaochang Yin China
Maciej Kotliński Poland
Yan‐Xia Mai relative to Amira Kramdi France Amira Kramdi's profile →
Citations per field
00.5×10×15×19×
Amira Kramdi · 1×
Citations per year

Countries citing papers authored by Yan‐Xia Mai

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Xia Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Xia Mai. 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 Yan‐Xia Mai. The network helps show where Yan‐Xia Mai may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2010210
2 201153
3 201942
4 202228
5 202320
6 202319
7 202111
8 20251
9 20221
10 20251
11 20260

About Yan‐Xia Mai

Yan‐Xia Mai is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Ecology and Infectious Diseases, having authored 11 papers that have together received 386 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Reproductive Biology (6 papers), Plant Parasitism and Resistance (2 papers), RNA and protein synthesis mechanisms (1 paper), Bryophyte Studies and Records (1 paper), Plant Gene Expression Analysis (1 paper), Chromosomal and Genetic Variations (1 paper) and Polysaccharides and Plant Cell Walls (1 paper). The work is most often cited by research in Plant Science (361 citations), Molecular Biology (247 citations), Horticulture (2 citations), Endocrinology (4 citations) and Cancer Research (9 citations). Yan‐Xia Mai has collaborated with scholars based in China, Germany and Austria. Frequent co-authors include Long Wang, Hong‐Quan Yang, Yanchun Zhang, Qian Luo, Jiawei Wang, Guan-Dong Shang, Zhou-Geng Xu, Lian‐Yu Wu, Jian Gao and Tian‐Qi Zhang. Their work appears in journals such as The Plant Cell, Nature Plants, Journal of Integrative Plant Biology, Nature Methods and Developmental Cell.

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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