Nan Wang

4.7k citations
117 papers · 2.1k · h-index 25

Impact in

    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Genetics and Plant Breeding

Papers in

    • Plant Molecular Biology Research 12
    • Plant-Microbe Interactions and Immunity 9
    • Plant Stress Responses and Tolerance 8
    • Genetics and Plant Breeding 6
    • Plant Reproductive Biology 10
    • Genomics and Phylogenetic Studies 7

Nan Wang

110 papers receiving 2.1k citations

Peers

Nan Wang
Comparison fields: 5 of 132
  • Horticulture 42
  • Plant Science 993
  • Molecular Biology 958
  • Genetics 274
  • Agronomy and Crop Science 91
Replace Riccardo Aiese Cigliano with:
Riccardo Aiese Cigliano Italy
Feng Wang China
Meng Zhang China
Lin Fang China
Xu Cao China
Wei Guo China
Yan Fu China
S Samuel Yang China
Qing Chen China
Nan Wang relative to Riccardo Aiese Cigliano Italy Riccardo Aiese Cigliano's profile →
Citations per field
00.5×1.5×2.1×
Riccardo Aiese Cigliano · 1×
Citations per year

Countries citing papers authored by Nan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Nan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020144
2 2019119
3 2019116
4 2015106
5 2012102
6 202082
7 202453
8 202046
9 201845
10 202344
11 201342
12 202242
13 202239
14 201537
15 201737
16 202333
17 201632
18 202231
19 202231
20 202131

About Nan Wang

Nan Wang is a scholar working on Plant Science, Molecular Biology, Genetics, Biomedical Engineering and Immunology, having authored 117 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (12 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Plant Reproductive Biology (10 papers), Plant-Microbe Interactions and Immunity (9 papers), Biosensors and Analytical Detection (8 papers), Plant Stress Responses and Tolerance (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genetics and Plant Breeding (6 papers). The work is most often cited by research in Horticulture (42 citations), Plant Science (993 citations), Molecular Biology (958 citations), Genetics (274 citations) and Agronomy and Crop Science (91 citations). Nan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ailiang Chen, Xiuxin Deng, Qiang Xu, Fawei Wang, Yuanyuan Dong, Juan Zhang, Zhuanfang Hao, Bin Xiao, Weican Liu and Félix San Vicente. Their work appears in journals such as PLoS ONE, Frontiers in Plant Science, International Journal of Molecular Sciences, Scientific Reports and Proceedings of the National Academy of Sciences.

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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