Dandan Gu

418 citations
20 papers · 323 · h-index 8

Impact in

    • Crop Yield and Soil Fertility
    • Rice Cultivation and Yield Improvement
    • Plant Stress Responses and Tolerance
    • Plant nutrient uptake and metabolism
    • Plant responses to water stress
    • Plant Molecular Biology Research
    • Wheat and Barley Genetics and Pathology

Papers in

Dandan Gu

19 papers receiving 318 citations

Peers

Dandan Gu
Comparison fields: 5 of 58
  • Agronomy and Crop Science 67
  • Plant Science 186
  • Soil Science 36
  • Cellular and Molecular Neuroscience 54
  • Developmental Neuroscience 6
Replace Sara Reis with:
Sara Reis Portugal
Rongrong Zhao China
Xueming Wang China
Jiamin Hu China
Xiangzhen Sui United States
Thaís Louise Gurjão de Carvalho Brazil
C.A. Hardy United Kingdom
Sunita Suneja India
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Citations per field
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Citations per year

Countries citing papers authored by Dandan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201363
2 201353
3 202453
4
The relationship between nitrogen, auxin and cytokinin in the growth regulation of rice (Oryza sativa L.) tiller buds
201140
5 202336
6 201519
7 201112
8 20119
9
Influence of tillage practice on soil CO2 emission rate and soil characteristics in a dryland wheat field.
20136
10 20246
11 20135
12 20255
13 20245
14 20254
15
Effect of Cytokinins on the Growth of Rice Tiller Buds and the Expression of the Genes Regulating Rice Tillering
20122
16 20112
17 20251
18 20131
19 20231
20 20250

About Dandan Gu

Dandan Gu is a scholar working on Cellular and Molecular Neuroscience, Plant Science, Soil Science, Agronomy and Crop Science and Genetics, having authored 20 papers that have together received 323 indexed citations. Recurring topics across this work include Nerve injury and regeneration (5 papers), Crop Yield and Soil Fertility (3 papers), Rice Cultivation and Yield Improvement (3 papers), Plant responses to water stress (3 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Plant Molecular Biology Research (2 papers), Plant nutrient uptake and metabolism (2 papers) and Food composition and properties (2 papers). The work is most often cited by research in Agronomy and Crop Science (67 citations), Plant Science (186 citations), Soil Science (36 citations), Cellular and Molecular Neuroscience (54 citations) and Developmental Neuroscience (6 citations). Dandan Gu has collaborated with scholars based in China, Nepal and Pakistan. Frequent co-authors include Xiaoxia Wen, Yuncheng Liao, Dengbing Yao, Yang Liu, Zihan Ding, Yanfeng Ding, Qiangsheng Wang, Yang Liu, Yu Chen and Maorong Jiang. Their work appears in journals such as Biomedicines, PLoS ONE, Crop Science, Field Crops Research and Neurorehabilitation and neural repair.

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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