De Niu

515 citations
9 papers · 368 · h-index 5

Impact in

    • Plant Molecular Biology Research
    • Light effects on plants
    • Plant Stress Responses and Tolerance
    • Plant-Microbe Interactions and Immunity
    • Plant Gene Expression Analysis
    • Photosynthetic Processes and Mechanisms
    • Ubiquitin and proteasome pathways
    • Plant Reproductive Biology

Papers in

    • Plant Molecular Biology Research 6
    • Seed Germination and Physiology 1
    • Plant Parasitism and Resistance 1
    • Chromosomal and Genetic Variations 1
    • Photosynthetic Processes and Mechanisms 3
    • Ubiquitin and proteasome pathways 2
    • Plant Gene Expression Analysis 1

De Niu

8 papers receiving 368 citations

Peers

De Niu
Comparison fields: 5 of 38
  • Plant Science 285
  • Molecular Biology 261
  • Nuclear Energy and Engineering 1
  • Parasitology 11
  • Biochemistry 11
Replace Yong-Fu Fu with:
Yong-Fu Fu China
Bin Cai China
Yin Jin China
Sebastian J. Nintemann Denmark
Youn Hab Lee South Korea
Dipan Roy India
David Munch Denmark
Enric Sayas Spain
Carol Hannam Canada
Marie‐Claude Marsolier France
De Niu relative to Yong-Fu Fu China Yong-Fu Fu's profile →
Citations per field
00.5×
Yong-Fu Fu · 1×
Citations per year

Countries citing papers authored by De Niu

Since Specialization
Citations

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

Fields of papers citing papers by De Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201997
2 201696
3 201882
4 201570
5 202415
6 20244
7 20243
8
Study on Chloroplast Ultrastructure in Different Color Period of Euphorbia pulcherrima
20081
9 20260

About De Niu

De Niu is a scholar working on Plant Science, Molecular Biology, Epidemiology, Agronomy and Crop Science and Atmospheric Science, having authored 9 papers that have together received 368 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), Photosynthetic Processes and Mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers), Seed Germination and Physiology (1 paper), Animal Genetics and Reproduction (1 paper), Plant Gene Expression Analysis (1 paper), Plant Parasitism and Resistance (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Plant Science (285 citations), Molecular Biology (261 citations), Nuclear Energy and Engineering (1 citation), Parasitology (11 citations) and Biochemistry (11 citations). De Niu has collaborated with scholars based in China, South Korea and Japan. Frequent co-authors include Jing Bo Jin, Bin Cai, Rongcheng Lin, Peng Liu, Jiyoung Lee, Xiaoli Lin, Wanqing Wang, Tingting Ma, Haiyang Wang and Weijiang Tang. Their work appears in journals such as Nature Plants, Journal of Integrative Plant Biology, Molecular Plant, The Plant Cell and New Phytologist.

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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