Lingrang Kong

4.4k total citations
94 papers, 2.2k citations indexed

About

Lingrang Kong is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Lingrang Kong has authored 94 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Plant Science, 19 papers in Molecular Biology and 17 papers in Cell Biology. Recurrent topics in Lingrang Kong's work include Wheat and Barley Genetics and Pathology (50 papers), Plant Disease Resistance and Genetics (28 papers) and Mycotoxins in Agriculture and Food (22 papers). Lingrang Kong is often cited by papers focused on Wheat and Barley Genetics and Pathology (50 papers), Plant Disease Resistance and Genetics (28 papers) and Mycotoxins in Agriculture and Food (22 papers). Lingrang Kong collaborates with scholars based in China, United States and Israel. Lingrang Kong's co-authors include H. W. Ohm, Hongwei Wang, Xin Ma, Joseph M. Anderson, Anfei Li, Xiaorong Shen, Honggang Wang, Peisen Su, F. J. Zeller and Lorenz Hartl and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lingrang Kong

91 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingrang Kong China 27 1.9k 494 390 380 186 94 2.2k
Xinyao He Mexico 27 2.4k 1.2× 334 0.7× 584 1.5× 655 1.7× 236 1.3× 107 2.7k
Ron Sederoff United States 15 1.0k 0.5× 789 1.6× 183 0.5× 182 0.5× 71 0.4× 17 1.6k
Tim Langdon United Kingdom 27 1.8k 1.0× 1.5k 3.1× 151 0.4× 475 1.3× 92 0.5× 51 2.7k
Nabila Yahiaoui France 31 2.8k 1.4× 1.0k 2.0× 110 0.3× 282 0.7× 90 0.5× 53 3.2k
Ainong Shi United States 28 2.4k 1.3× 320 0.6× 146 0.4× 315 0.8× 112 0.6× 157 2.6k
Richard Sibout France 24 1.8k 1.0× 1.7k 3.5× 77 0.2× 153 0.4× 144 0.8× 46 2.6k
Jin‐Ying Gou China 18 2.2k 1.2× 1.5k 3.0× 97 0.2× 120 0.3× 74 0.4× 41 2.6k
Ming Li Wang United States 28 2.4k 1.3× 1.1k 2.2× 53 0.1× 377 1.0× 173 0.9× 77 3.0k
Yuanda Lv China 24 1.5k 0.8× 792 1.6× 60 0.2× 260 0.7× 98 0.5× 67 1.9k
Ana Hervás Spain 16 881 0.5× 351 0.7× 335 0.9× 172 0.5× 40 0.2× 18 1.2k

Countries citing papers authored by Lingrang Kong

Since Specialization
Citations

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

Fields of papers citing papers by Lingrang Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingrang Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Lingrang Kong. A scholar is included among the top collaborators of Lingrang Kong 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 Lingrang Kong. Lingrang Kong 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.
Sun, Silong, Liyang Chen, Yongchao Hao, et al.. (2025). Analysis wheat wild relatives Thinopyrum intermedium and Roegneria kamoji genomes reveal different polyploid evolution paths. Nature Communications. 16(1). 7693–7693.
2.
Hu, Jiming, Xu Liu, Zhaoxin Tang, et al.. (2024). Counting wheat heads using a simulation model. Computers and Electronics in Agriculture. 228. 109633–109633. 2 indexed citations
3.
Hou, Bingqian, Dawei Wang, Fangfang Yan, et al.. (2023). Fhb7-GST catalyzed glutathionylation effectively detoxifies the trichothecene family. Food Chemistry. 439. 138057–138057. 9 indexed citations
4.
Zhao, Lanfei, Wenyang Ge, Zhongfan Lyu, et al.. (2022). Development and validation of diagnostic markers for the wheat Fusarium head blight resistance gene Fhb7. Crop Science. 62(5). 1903–1911. 1 indexed citations
5.
Wang, Xiaolin, Mingxing Wang, Like Wang, et al.. (2022). Whole‐plant microbiome profiling reveals a novel geminivirus associated with soybean stay‐green disease. Plant Biotechnology Journal. 20(11). 2159–2173. 24 indexed citations
6.
7.
Wei, Zhaoran, Qiaoling Yuan, Hai Lin, et al.. (2021). Linkage analysis, GWAS, transcriptome analysis to identify candidate genes for rice seedlings in response to high temperature stress. BMC Plant Biology. 21(1). 85–85. 26 indexed citations
8.
Zhao, Lanfei, Nader R. Abdelsalam, Yunfeng Xu, et al.. (2020). Identification of two novel Hessian fly resistance genes H35 and H36 in a hard winter wheat line SD06165. Theoretical and Applied Genetics. 133(8). 2343–2353. 35 indexed citations
9.
Zhang, Rui, Wentao Wang, Hui Zhang, et al.. (2020). Effects of preparation conditions on the properties of agar/maltodextrin-beeswax pseudo-bilayer films. Carbohydrate Polymers. 236. 116029–116029. 44 indexed citations
10.
Su, Peisen, Lanfei Zhao, Wen Li, et al.. (2020). Integrated metabolo‐transcriptomics and functional characterization reveals that the wheat auxin receptor TIR1 negatively regulates defense against Fusarium graminearum. Journal of Integrative Plant Biology. 63(2). 340–352. 74 indexed citations
11.
Wang, Xin, Xiaocun Zhang, Hanxue Hou, et al.. (2020). Metabolomics and gene expression analysis reveal the accumulation patterns of phenylpropanoids and flavonoids in different colored-grain wheats (Triticum aestivum L.). Food Research International. 138(Pt A). 109711–109711. 79 indexed citations
12.
Zhao, Yan, Conghui Jiang, Xueqiang Wang, et al.. (2020). Distinct nucleotide patterns among three subgenomes of bread wheat and their potential origins during domestication after allopolyploidization. BMC Biology. 18(1). 188–188. 5 indexed citations
13.
Wang, Wentao, Rui Zhang, Haizhou Dong, et al.. (2019). Effects of Preparation Method on the Physicochemical Properties of Cationic Nanocellulose and Starch Nanocomposites. Nanomaterials. 9(12). 1702–1702. 18 indexed citations
14.
Wang, Xiaoqian, Junmei Hu, Yunlong Pang, et al.. (2019). Dissecting genetic loci affecting grain morphological traits to improve grain weight via nested association mapping. Theoretical and Applied Genetics. 132(11). 3115–3128. 32 indexed citations
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17.
Guo, Jun, He Fang, Hongwei Wang, et al.. (2015). Molecular and Cytological Comparisons of Chromosomes 7el<sub>1</sub>, 7el<sub>2</sub>, 7E<sup>e</sup>, and 7E<sup>i</sup> Derived from <b><i>Thinopyrum</i></b>. Cytogenetic and Genome Research. 145(1). 68–74. 9 indexed citations
18.
Kong, Lingrang, Joseph M. Anderson, & H. W. Ohm. (2005). Induction of wheat defense and stress-related genes in response toFusarium graminearum. Genome. 48(1). 29–40. 89 indexed citations
19.
Kong, Lingrang, et al.. (1999). Location of a powdery mildew resistance gene in Am6, an amphidiploid between Triticum durum and Aegilops tauschii, and its utilization. Acta Phytophylacica Sinica. 26(2). 116–120. 4 indexed citations
20.
Wang, Honggang, et al.. (1995). STUDIES ON THE RELATIONSHIP BETWEEN GRAIN PROTEIN CONTENT AND THE NR ACTIVITY FREE AMINO ACID AND CRUDE PROTEIN CONTENT OF LEAF BLADE IN WHEAT. Xibei zhiwu xuebao. 15(4). 282–287. 1 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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