Xiaojun Nie

7.1k total citations · 1 hit paper
78 papers, 2.4k citations indexed

About

Xiaojun Nie is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Xiaojun Nie has authored 78 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 35 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Xiaojun Nie's work include Wheat and Barley Genetics and Pathology (18 papers), Plant Molecular Biology Research (17 papers) and Plant Stress Responses and Tolerance (16 papers). Xiaojun Nie is often cited by papers focused on Wheat and Barley Genetics and Pathology (18 papers), Plant Molecular Biology Research (17 papers) and Plant Stress Responses and Tolerance (16 papers). Xiaojun Nie collaborates with scholars based in China, Canada and United States. Xiaojun Nie's co-authors include Weining Song, Hong Yue, Xianghong Du, Pingchuan Deng, Kewei Feng, Licao Cui, Meng Wang, Zhaogui Yan, Wei Tong and Siddanagouda S. Biradar and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Xiaojun Nie

76 papers receiving 2.4k citations

Hit Papers

A review of plants strategies to resist biotic and abioti... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaojun Nie China 27 1.6k 1.3k 236 177 99 78 2.4k
Shaojun Xie United States 22 2.8k 1.7× 1.8k 1.4× 478 2.0× 56 0.3× 101 1.0× 44 3.4k
Hengyu Yan China 14 1.7k 1.1× 1.1k 0.9× 292 1.2× 66 0.4× 43 0.4× 27 2.1k
Sandrine Balzergue France 37 4.0k 2.5× 2.5k 1.9× 279 1.2× 104 0.6× 130 1.3× 78 4.7k
Guiling Sun China 27 1.5k 0.9× 1.2k 1.0× 121 0.5× 287 1.6× 88 0.9× 55 2.3k
Wen‐Wu Guo China 34 2.9k 1.7× 2.6k 2.0× 199 0.8× 207 1.2× 77 0.8× 140 3.7k
Tiegang Lu China 28 2.6k 1.6× 1.9k 1.5× 319 1.4× 55 0.3× 85 0.9× 69 3.3k
William Terzaghi United States 38 4.5k 2.8× 3.2k 2.5× 373 1.6× 81 0.5× 137 1.4× 72 5.3k
Zhiwei Wang China 19 803 0.5× 607 0.5× 95 0.4× 126 0.7× 38 0.4× 110 1.4k
Junliang Yin China 28 1.9k 1.1× 837 0.7× 93 0.4× 41 0.2× 52 0.5× 87 2.3k
Longfu Zhu China 39 4.4k 2.7× 2.7k 2.2× 97 0.4× 123 0.7× 37 0.4× 107 4.9k

Countries citing papers authored by Xiaojun Nie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Nie. A scholar is included among the top collaborators of Xiaojun Nie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaojun Nie. Xiaojun Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hao, Junwei, et al.. (2025). Micronutrient Biofortification in Wheat: QTLs, Candidate Genes and Molecular Mechanism. International Journal of Molecular Sciences. 26(5). 2178–2178. 2 indexed citations
2.
Du, Lin, Wei Cai, Xinchun Li, et al.. (2025). Cell‐Type‐Specific and Variety‐Specific Responses to Salt Stress in Wheat Root Revealed by Single‐Cell Transcriptomics. Plant Biotechnology Journal. 24(3). 1446–1464.
3.
Nie, Xiaojun, Jinting Chen, Hongxiao Yu, et al.. (2024). Mapping of afferent and efferent connections of phenylethanolamine N‐methyltransferase‐expressing neurons in the nucleus tractus solitarii. CNS Neuroscience & Therapeutics. 30(6). e14808–e14808. 4 indexed citations
4.
Yang, Guang, Pan Yan, Ruoyu Zhang, et al.. (2024). Combined GWAS and eGWAS reveals the genetic basis underlying drought tolerance in emmer wheat ( Triticum turgidum L.). New Phytologist. 242(5). 2115–2131. 13 indexed citations
5.
Nawaz, Mohsin, Jianfan Sun, Samina Shabbir, et al.. (2023). A review of plants strategies to resist biotic and abiotic environmental stressors. The Science of The Total Environment. 900. 165832–165832. 146 indexed citations breakdown →
6.
Mao, Hude, Cong Jiang, Chunlei Tang, et al.. (2023). Wheat adaptation to environmental stresses under climate change: Molecular basis and genetic improvement. Molecular Plant. 16(10). 1564–1589. 52 indexed citations
7.
Li, Tingting, Yihan Li, Jianxin Bian, et al.. (2023). BarleyExpDB: an integrative gene expression database for barley. BMC Plant Biology. 23(1). 170–170. 15 indexed citations
8.
Zhang, Ying, et al.. (2023). Genome-Wide Identification, Expression and Evolution Analysis of m6A Writers, Readers and Erasers in Aegilops_tauschii. Plants. 12(14). 2747–2747. 5 indexed citations
9.
Zhang, Fan, Mingya Wang, Mingshi Wang, et al.. (2023). VOC Emission Characteristics of the Glass Deep-Processing Industry in China. Atmosphere. 14(1). 179–179. 2 indexed citations
10.
Yang, Guang, Yan Pan, Licao Cui, et al.. (2022). Genome-Wide Identification and Characterization of RNA/DNA Differences Associated with Fusarium graminearum Infection in Wheat. International Journal of Molecular Sciences. 23(14). 7982–7982. 3 indexed citations
13.
Yang, Guang, Ruoyu Zhang, Yan Pan, et al.. (2021). Genome-wide identification and characterization of caffeoyl-coenzyme A O-methyltransferase genes related to the Fusarium head blight response in wheat. BMC Genomics. 22(1). 504–504. 18 indexed citations
14.
Song, Li, Zihui Liu, Linlin Guo, et al.. (2021). Genome-Wide Identification of Wheat ZIP Gene Family and Functional Characterization of the TaZIP13-B in Plants. Frontiers in Plant Science. 12. 748146–748146. 16 indexed citations
15.
Wang, Zhenyu, Ruoyu Zhang, Yue Cheng, et al.. (2021). Genome-Wide Identification, Evolution, and Expression Analysis of LBD Transcription Factor Family in Bread Wheat (Triticum aestivum L.). Frontiers in Plant Science. 12. 721253–721253. 22 indexed citations
16.
Yue, Hong, Xiaojun Nie, Zhaogui Yan, & Weining Song. (2019). N6‐methyladenosine regulatory machinery in plants: composition, function and evolution. Plant Biotechnology Journal. 17(7). 1194–1208. 175 indexed citations
17.
Bian, Jianxin, et al.. (2018). Direct comparison of β-glucan content in wild and cultivated barley. International Journal of Food Properties. 21(1). 2218–2228. 22 indexed citations
19.
Cui, Licao, Kewei Feng, Meng Wang, et al.. (2016). Genome-wide identification, phylogeny and expression analysis of AP2/ERF transcription factors family in Brachypodium distachyon. BMC Genomics. 17(1). 636–636. 70 indexed citations
20.
Nie, Xiaojun, Le Wang, Siddanagouda S. Biradar, et al.. (2012). Development of chromosome‐arm‐specific microsatellite markers in Triticum aestivum (Poaceae) using NGS technology. American Journal of Botany. 99(9). e369–71. 18 indexed citations

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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