Xiangdong Yang

1.4k total citations
42 papers, 844 citations indexed

About

Xiangdong Yang is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Xiangdong Yang has authored 42 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 21 papers in Molecular Biology and 5 papers in Biotechnology. Recurrent topics in Xiangdong Yang's work include Soybean genetics and cultivation (8 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Virus Research Studies (7 papers). Xiangdong Yang is often cited by papers focused on Soybean genetics and cultivation (8 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Virus Research Studies (7 papers). Xiangdong Yang collaborates with scholars based in China, United States and Sweden. Xiangdong Yang's co-authors include Dmitry V. Fyodorov, Evan S. Deneris, Priya Saikumar Lakshmi, Dheeraj Verma, Henry Daniell, Yingshan Dong, Dongquan Guo, Guojie Xing, Jing Yang and Hongli He and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiangdong Yang

41 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangdong Yang China 18 454 440 103 45 45 42 844
Michele Bellucci Italy 18 592 1.3× 452 1.0× 269 2.6× 28 0.6× 19 0.4× 53 945
Marta Rodríguez‐Franco Germany 19 686 1.5× 554 1.3× 82 0.8× 83 1.8× 9 0.2× 32 952
Pierre Jacob United States 10 485 1.1× 860 2.0× 65 0.6× 37 0.8× 45 1.0× 13 1.1k
Xinhong Guo China 21 788 1.7× 598 1.4× 42 0.4× 173 3.8× 37 0.8× 70 1.2k
Alexander M. Boutanaev Russia 11 539 1.2× 221 0.5× 42 0.4× 118 2.6× 33 0.7× 17 698
Pavan Umate India 17 643 1.4× 448 1.0× 29 0.3× 38 0.8× 55 1.2× 30 847
Francesca De Marchis Italy 16 460 1.0× 333 0.8× 236 2.3× 23 0.5× 24 0.5× 43 738
Tzvetanka D. Dinkova Mexico 18 546 1.2× 583 1.3× 38 0.4× 24 0.5× 40 0.9× 45 864

Countries citing papers authored by Xiangdong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangdong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangdong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangdong Yang. A scholar is included among the top collaborators of Xiangdong Yang 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 Xiangdong Yang. Xiangdong Yang 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.
Zhang, Min, Yang Ou, Qin Huang, et al.. (2025). Infliximab for patients with moderate to severely active ulcerative colitis: an updated meta-analysis of randomized controlled trials. BMC Gastroenterology. 25(1). 458–458.
2.
Cheng, Yunqing, Jing Yang, Hongli He, et al.. (2023). Multiplex CRISPR-Cas9 knockout of EIL3, EIL4, and EIN2L advances soybean flowering time and pod set. BMC Plant Biology. 23(1). 519–519. 7 indexed citations
3.
Wang, Guanfeng, et al.. (2022). Casein kinase CK2 structure and activities in plants. Journal of Plant Physiology. 276. 153767–153767. 8 indexed citations
4.
Zhang, Xinxin, Yuxi Li, Huiling Yan, et al.. (2022). Integrated metabolomic and transcriptomic analyses reveal different metabolite biosynthesis profiles of Juglans mandshurica in shade. Frontiers in Plant Science. 13. 991874–991874. 12 indexed citations
5.
Niu, Lu, Hongli He, Yanchun Zhang, et al.. (2021). Efficient identification of genomic insertions and flanking regions through whole-genome sequencing in three transgenic soybean events. Transgenic Research. 30(1). 1–9. 3 indexed citations
6.
Yang, Xiangdong, Jing Yang, Lu Niu, et al.. (2020). Overexpression of the chitinase gene CmCH1 from Coniothyrium minitans renders enhanced resistance to Sclerotinia sclerotiorum in soybean. Transgenic Research. 29(2). 187–198. 31 indexed citations
7.
Niu, Lu, Xiaofang Zhong, Yanchun Zhang, et al.. (2020). Enhanced tolerance to Phytophthora root and stem rot by over-expression of the plant antimicrobial peptide CaAMP1 gene in soybean. BMC Genetics. 21(1). 68–68. 22 indexed citations
8.
Niu, Lu, Jing Yang, Jinhua Zhang, et al.. (2019). Introduction of the harpinXooc-encoding gene hrf2 in soybean enhances resistance against the oomycete pathogen Phytophthora sojae. Transgenic Research. 28(2). 257–266. 9 indexed citations
9.
Yang, Xiangdong, Jing Yang, Hongli He, et al.. (2018). Enhanced resistance to sclerotinia stem rot in transgenic soybean that overexpresses a wheat oxalate oxidase. Transgenic Research. 28(1). 103–114. 28 indexed citations
10.
Xun, Hongwei, Xiangdong Yang, Hongli He, et al.. (2018). Over-expression of GmKR3, a TIR–NBS–LRR type R gene, confers resistance to multiple viruses in soybean. Plant Molecular Biology. 99(1-2). 95–111. 45 indexed citations
11.
Yang, Jing, Guojie Xing, Lu Niu, et al.. (2018). Improved oil quality in transgenic soybean seeds by RNAi-mediated knockdown of GmFAD2-1B. Transgenic Research. 27(2). 155–166. 24 indexed citations
12.
Yang, Xiangdong, Wei Zhang, Jing Yang, et al.. (2017). RNAi-mediated SMV P3 cistron silencing confers significantly enhanced resistance to multiple Potyvirus strains and isolates in transgenic soybean. Plant Cell Reports. 37(1). 103–114. 29 indexed citations
13.
Zhong, Xue, et al.. (2014). [High-efficiency expression of a receptor-binding domain of SARS-CoV spike protein in tobacco chloroplasts].. PubMed. 30(6). 920–30. 3 indexed citations
14.
Zhang, Ling, Xiangdong Yang, Jing Yang, et al.. (2014). Changes in Oleic Acid Content of Transgenic Soybeans by Antisense RNA Mediated Posttranscriptional Gene Silencing. International Journal of Genomics. 2014. 1–8. 33 indexed citations
15.
Jiang, Bei, Ling Guo, Baoying Li, et al.. (2013). Resveratrol Attenuates Early Diabetic Nephropathy by Down-Regulating Glutathione S-Transferases Mu in Diabetic Rats. Journal of Medicinal Food. 16(6). 481–486. 41 indexed citations
16.
Lakshmi, Priya Saikumar, et al.. (2013). Low Cost Tuberculosis Vaccine Antigens in Capsules: Expression in Chloroplasts, Bio-Encapsulation, Stability and Functional Evaluation In Vitro. PLoS ONE. 8(1). e54708–e54708. 161 indexed citations
17.
18.
Yang, Xiangdong, et al.. (2003). [Screening of the drug resistance-associated gene in HepG2 cell line transfected with aldose reductase like gene-1 (ARL-1)].. PubMed. 22(12). 1289–95. 3 indexed citations
19.
Lü, Qing, et al.. (2002). [p73 gene expression in apoptotic process of acute myeloid leukemia cell line U937 induced by methotrexate].. PubMed. 10(2). 104–7. 2 indexed citations
20.
Yang, Xiangdong, Dmitry V. Fyodorov, & Evan S. Deneris. (1995). Transcriptional Analysis of Acetylcholine Receptor α3 Gene Promoter Motifs That Bind Sp1 and AP2. Journal of Biological Chemistry. 270(15). 8514–8520. 65 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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