Xinqiu Tan

1.4k total citations
48 papers, 637 citations indexed

About

Xinqiu Tan is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Xinqiu Tan has authored 48 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 10 papers in Molecular Biology and 10 papers in Cell Biology. Recurrent topics in Xinqiu Tan's work include Plant-Microbe Interactions and Immunity (19 papers), Plant Virus Research Studies (11 papers) and Plant Pathogens and Fungal Diseases (10 papers). Xinqiu Tan is often cited by papers focused on Plant-Microbe Interactions and Immunity (19 papers), Plant Virus Research Studies (11 papers) and Plant Pathogens and Fungal Diseases (10 papers). Xinqiu Tan collaborates with scholars based in China, United States and Germany. Xinqiu Tan's co-authors include Deyong Zhang, Pin Su, Chenggang Li, Xuguo Zhou, Decai Jin, Yong Liu, Limin Zheng, Dan Wang, Zhuo Zhang and Xiangyang Lu and has published in prestigious journals such as PLoS ONE, Applied Catalysis B: Environmental and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xinqiu Tan

43 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinqiu Tan China 14 498 177 112 84 66 48 637
Teresa A. Kidarsa United States 12 473 0.9× 298 1.7× 75 0.7× 105 1.3× 74 1.1× 13 690
José A. Oguiza Spain 16 316 0.6× 355 2.0× 76 0.7× 110 1.3× 62 0.9× 32 657
Pooja K Strope United States 9 259 0.5× 441 2.5× 63 0.6× 71 0.8× 27 0.4× 11 620
Lifang Zou China 23 1.4k 2.9× 406 2.3× 141 1.3× 41 0.5× 62 0.9× 69 1.6k
Subhasis Karmakar India 15 588 1.2× 277 1.6× 45 0.4× 39 0.5× 45 0.7× 22 679
Julio Vega‐Arreguín Mexico 13 619 1.2× 226 1.3× 82 0.7× 49 0.6× 52 0.8× 39 742
J. Kraus United States 10 491 1.0× 243 1.4× 81 0.7× 66 0.8× 30 0.5× 18 655
Jillian M. Lang United States 15 619 1.2× 152 0.9× 154 1.4× 28 0.3× 22 0.3× 26 731
Huasong Zou China 19 927 1.9× 239 1.4× 85 0.8× 25 0.3× 72 1.1× 72 1.1k
María Eugenia Segretin Argentina 17 1.0k 2.0× 373 2.1× 190 1.7× 24 0.3× 31 0.5× 27 1.2k

Countries citing papers authored by Xinqiu Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xinqiu Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinqiu Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Xinqiu Tan. A scholar is included among the top collaborators of Xinqiu Tan 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 Xinqiu Tan. Xinqiu Tan 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.
Liu, Yi, Yujia Liu, Zebin Yu, et al.. (2025). Co and N para-doping modulates the electronic structure of CdIn2S4 to enhance CO2 adsorption, activation and photocatalytic reduction. Applied Catalysis B: Environmental. 371. 125275–125275. 23 indexed citations
2.
3.
Wu, Xiyang, et al.. (2025). Analysis of the Antagonistic Effect of Dibutyl Phthalate on Magnaporthe oryzae through Bioassay and Omics Data. Journal of Agricultural and Food Chemistry. 73(30). 18804–18821.
4.
Wang, Yikai, Yujia Liu, Ting Liang, et al.. (2025). Strengthening built-in electric field and enriching active sites on cobalt-doped ZnSn(OH)6/ZnWO4 heterojunction to promote photocatalytic reduction of CO2. Journal of Colloid and Interface Science. 697. 137950–137950. 9 indexed citations
5.
Guo, Sheng, Fei Wu, Chenggang Li, et al.. (2024). CgNis1’s Impact on Virulence and Stress Response in Colletotrichum gloeosporioides. International Journal of Molecular Sciences. 25(6). 3505–3505.
6.
Zhang, Yunxiang, Zhuo Zhang, Yue Chen, et al.. (2023). Protein kinase A regulatory subunit is required for normal growth, zoosporogenesis, and pathogenicity in Phytophthora sojae. Research in Microbiology. 175(4). 104152–104152. 1 indexed citations
7.
Huang, Qiang, Chunyan Chen, Xiyang Wu, et al.. (2023). Overexpression of ATP Synthase Subunit Beta (Atp2) Confers Enhanced Blast Disease Resistance in Transgenic Rice. Journal of Fungi. 10(1). 5–5. 2 indexed citations
8.
Li, Kailong, Xiaobin Shi, Wuying Chen, et al.. (2023). Residue behavior and processing factors of thirteen field-applied pesticides during the production of Chinese traditional fermented chopped pepper and chili powder. Food Chemistry X. 19. 100854–100854. 8 indexed citations
9.
Wang, Dongwei, Jian Wang, Pin Su, et al.. (2022). Effects of dazomet combined with Rhodopsesudomonas palustris PSB-06 on root-knot nematode, Meloidogyne incognita infecting ginger and soil microorganisms diversity. Frontiers in Microbiology. 13. 1021445–1021445. 6 indexed citations
10.
Zhang, Xin, Xiao‐Nian Li, Yu Zhang, et al.. (2020). Integrated control of potato late blight with a combination of the photosynthetic bacterium Rhodopseudomonas palustris strain GJ-22 and fungicides. BioControl. 65(5). 635–645. 12 indexed citations
11.
Wang, Yafei, Yong Wang, Kai Zhang, et al.. (2020). Genome Sequence Resource for Colletotrichum scovillei, the Cause of Anthracnose Disease of Chili. Molecular Plant-Microbe Interactions. 34(1). 122–126. 10 indexed citations
12.
13.
Su, Pin, Deyong Zhang, Zhuo Zhang, et al.. (2019). Characterization of Rhodopseudomonas palustris population dynamics on tobacco phyllosphere and induction of plant resistance to Tobacco mosaic virus. Microbial Biotechnology. 12(6). 1453–1463. 11 indexed citations
14.
Li, Chenggang, Dan Wang, Pin Su, et al.. (2019). Genome-wide association mapping of resistance against rice blast strains in South China and identification of a new Pik allele. Rice. 12(1). 47–47. 36 indexed citations
15.
Chen, Yue, Xiyang Wu, Chenggang Li, et al.. (2018). MoPer1 is required for growth, conidiogenesis, and pathogenicity in Magnaporthe oryzae. Rice. 11(1). 64–64. 11 indexed citations
16.
Chen, Yuzhen, et al.. (2016). Sequence diversity analysis of Cucumber mosaic virus isolates from common crops in China.. Acta Phytophylacica Sinica. 43(3). 427–433. 1 indexed citations
17.
Chen, Yue, Yi Sun, Mengying Li, et al.. (2016). MoYcp4 is required for growth, conidiogenesis and pathogenicity in Magnaporthe oryzae. Molecular Plant Pathology. 18(7). 1001–1011. 14 indexed citations
18.
Zhu, Min, Wenna Zhang, Wenyang Zhao, et al.. (2016). Development of a lateral-flow assay (LFA) for rapid detection of Soybean mosaic virus. Journal of Virological Methods. 235. 51–57. 11 indexed citations
19.
Li, Jinyu, Qiwei Wei, Yong Liu, et al.. (2013). One-step reverse transcription loop-mediated isothermal amplification for the rapid detection of cucumber green mottle mosaic virus. Journal of Virological Methods. 193(2). 583–588. 31 indexed citations
20.
Tan, Xinqiu, et al.. (2012). A Comparative Testing of <i>Cucumber mosaic virus</i> (CMV)-Based Constructs to Generate Virus Resistant Plants. American Journal of Plant Sciences. 3(4). 461–472. 7 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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