Fangchan Jiao

790 total citations
34 papers, 565 citations indexed

About

Fangchan Jiao is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Fangchan Jiao has authored 34 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 12 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Fangchan Jiao's work include Plant-Microbe Interactions and Immunity (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Plant Virus Research Studies (6 papers). Fangchan Jiao is often cited by papers focused on Plant-Microbe Interactions and Immunity (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Plant Virus Research Studies (6 papers). Fangchan Jiao collaborates with scholars based in China, Denmark and United States. Fangchan Jiao's co-authors include Yongping Li, Liming Du, Ping Wu, Jun Chu, Ming Chen, Gulei Jin, Zhongbang Song, Pin Wu, Jing Yu and Qiaojun Jia and has published in prestigious journals such as Scientific Reports, Plant Cell & Environment and Gene.

In The Last Decade

Fangchan Jiao

32 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fangchan Jiao China	13	453	240	64	37	22	34	565
Takayuki Yazawa Japan	11	456 1.0×	208 0.9×	47 0.7×	19 0.5×	18 0.8×	13	557
Fengde Wang China	14	559 1.2×	385 1.6×	56 0.9×	21 0.6×	29 1.3×	36	675
Zehou Liu China	12	410 0.9×	142 0.6×	131 2.0×	23 0.6×	22 1.0×	28	501
Tiyu Ding China	8	273 0.6×	245 1.0×	40 0.6×	66 1.8×	30 1.4×	13	386
Farag Ibraheem Egypt	10	310 0.7×	131 0.5×	45 0.7×	30 0.8×	37 1.7×	23	431
Backki Kim South Korea	14	360 0.8×	158 0.7×	156 2.4×	23 0.6×	25 1.1×	40	429
Emre İlhan Türkiye	14	507 1.1×	222 0.9×	42 0.7×	10 0.3×	28 1.3×	60	609
Rajni Parmar India	11	200 0.4×	282 1.2×	47 0.7×	29 0.8×	15 0.7×	17	402
María Urrutia Spain	8	303 0.7×	229 1.0×	36 0.6×	51 1.4×	27 1.2×	11	393
Tuan Long China	9	437 1.0×	321 1.3×	142 2.2×	29 0.8×	20 0.9×	12	535

Countries citing papers authored by Fangchan Jiao

Since Specialization

Citations

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

Fields of papers citing papers by Fangchan Jiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangchan Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Fangchan Jiao. A scholar is included among the top collaborators of Fangchan Jiao 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 Fangchan Jiao. Fangchan Jiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Yuanheng, et al.. (2025). Whole genome re-sequencing in 437 tobacco germplasms identifies plant height candidate genes. Scientific Reports. 15(1). 4734–4734.

Jiao, Fangchan, Tianbao Li, Congwei Sun, et al.. (2025). Whole genome re-sequencing to reveal genetic diversity and to develop snp array in common tobacco. Biologia. 80(3). 519–528.

Gao, Yulong, Zhongbang Song, Fangchan Jiao, et al.. (2024). A tonoplast-localized TPK-type K+ transporter (TPKa) regulates potassium accumulation in tobacco. Gene. 926. 148576–148576. 2 indexed citations

Li, Baozhu, Jiong Liu, Hui Zhang, et al.. (2024). ZmMYB56 regulates stomatal closure and drought tolerance in maize seedlings through the transcriptional regulation of ZmTOM7. 1. 100012–100012. 22 indexed citations

Sui, Xueyi, Xiping He, Zhongbang Song, et al.. (2020). The gene NtMYC2a acts as a ‘master switch’ in the regulation of JA‐induced nicotine accumulation in tobacco. Plant Biology. 23(2). 317–326. 17 indexed citations

Chen, Xuejun, Zhijun Tong, Yongping Li, et al.. (2020). Identification and evaluation of tobacco cytoplasmic male sterile line Nta(gla)S K326 generated from asymmetric protoplast fusion of Nicotiana glauca and N. tabacum followed by backcrossing with N. tabacum K326. Plant Cell Tissue and Organ Culture (PCTOC). 142(2). 269–283. 3 indexed citations

Jiao, Fangchan, et al.. (2019). Analysis of routine analytes, polyprotic and higher fatty acids in 52 tobacco germplasm resources. Zhongguo yancao xuebao. 25(4). 20–28. 1 indexed citations

Jiao, Fangchan, et al.. (2019). Effectors of Phytophthora pathogens are powerful weapons for manipulating host immunity. Planta. 250(2). 413–425. 45 indexed citations

Tong, Zhijun, Zhihui Xiu, Fangchan Jiao, et al.. (2019). Construction of a high-density genetic map with whole genome sequencing in Nicotiana tabacum L. Genomics. 112(2). 2028–2033. 15 indexed citations

10.

Jiao, Fangchan, et al.. (2018). Collection, identification and application of tobacco germplasm resources in China. Tobacco Science & Technology. 2 indexed citations

11.

Li, Meiyun, Fangchan Jiao, Bing‐Wu Wang, et al.. (2017). Characterization of Meloidogyne incognita resistance in new tobacco varieties (lines). Tobacco Science & Technology. 1 indexed citations

12.

Chen, Xuejun, et al.. (2016). Genetic diversity analysis of genus Nicotiana based on SSR markers in chloroplast genome and mitochondria genome. Zhongguo yancao xuebao. 22(4). 89–97. 4 indexed citations

13.

Tong, Zhijun, et al.. (2016). Construction and Genetic Evaluation of Chromosome Segment Substitution Lines in Tobacco ( Nicotiana tabacum L.). ACTA AGRONOMICA SINICA. 42(11). 1609–1609. 2 indexed citations

14.

Song, Zhiwei, et al.. (2016). NtBRC1 suppresses axillary branching in tobacco after decapitation. Genetics and Molecular Research. 15(4). 8 indexed citations

15.

Tong, Zhijun, Fangchan Jiao, Fengqing Wang, et al.. (2012). Mapping of Quantitative Trait Loci Underlying Six Agronomic Traits in Flue-Cured Tobacco (Nicotiana tabacum L.). ACTA AGRONOMICA SINICA. 38(8). 1407–1415. 7 indexed citations

16.

Tong, Zhijun, Zemao Yang, Xuejun Chen, et al.. (2012). Large‐scale development of microsatellite markers in Nicotiana tabacum and construction of a genetic map of flue‐cured tobacco. Plant Breeding. 131(5). 674–680. 25 indexed citations

17.

Jiao, Fangchan. (2011). Analysis of Variation of the Chemical Components and Polyphenols in Different Generation Flue-cured Tobacco Population. Anhui nongye kexue. 1 indexed citations

18.

Jiao, Fangchan, et al.. (2010). Breeding and characteristics of Yunyan203, a new variety of flue-cured tobacco.. 23(3). 625–628. 1 indexed citations

19.

Gao, Yulong, et al.. (2009). Cloning, structural features, and expression analysis of resistance gene analogs in Tobacco. Molecular Biology Reports. 37(1). 345–354. 22 indexed citations

20.

Du, Liming, Fangchan Jiao, Jun Chu, et al.. (2007). The two-component signal system in rice (Oryza sativa L.): A genome-wide study of cytokinin signal perception and transduction. Genomics. 89(6). 697–707. 101 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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