Fang-Xu Han

631 total citations
12 papers, 134 citations indexed

About

Fang-Xu Han is a scholar working on Molecular Biology, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Fang-Xu Han has authored 12 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Plant Science and 1 paper in Nature and Landscape Conservation. Recurrent topics in Fang-Xu Han's work include Plant Molecular Biology Research (10 papers), Plant Gene Expression Analysis (5 papers) and Plant Reproductive Biology (5 papers). Fang-Xu Han is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant Gene Expression Analysis (5 papers) and Plant Reproductive Biology (5 papers). Fang-Xu Han collaborates with scholars based in China, Sweden and Australia. Fang-Xu Han's co-authors include Shihui Niu, Jingjing Ma, Harry X. Wu, Yue Li, Yumeng Nie, Xi Chen, Yue Li, Yi-tong Song, Hongmei Liu and Jiang Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

Fang-Xu Han

11 papers receiving 131 citations

Peers

Fang-Xu Han

GPC

GENET

ECOLO

Yvonne Pöschl Germany

Juliana Stival Sena Canada

Max Minne Belgium

Jessica M. Waite United States

Hugo Bérubé Canada

Sera Choi South Korea

Nanshan Yang China

Bernard Adroher France

Esther Jung Switzerland

Joël Lafond‐Lapalme Canada

Yvonne Pöschl Germany

Fang-Xu Han

130 ×1.3

65 ×0.7

3 ×0.4

GPC

7 ×1.0

GENET

6 ×1.0

ECOLO

Citations per year, relative to Fang-Xu Han Fang-Xu Han (= 1×) peers Yvonne Pöschl

Countries citing papers authored by Fang-Xu Han

Since Specialization

Citations

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

Fields of papers citing papers by Fang-Xu Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang-Xu Han. 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 Fang-Xu Han. The network helps show where Fang-Xu Han may publish in the future.

Co-authorship network of co-authors of Fang-Xu Han

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

All Works

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12 of 12 papers shown

Song, Yi-tong, Jingjing Ma, Xi Chen, et al.. (2025). The MADS-box transcription factor DAL1 links age to reproductive development through regulation of LEAFY homologs in conifer. PLANT PHYSIOLOGY. 198(4).

Zhang, Hui, Peiyi Wang, Yi-tong Song, et al.. (2024). The MADS-domain transcription factor DAL10 is a direct target of putative DAL1-mediated age pathway in conifers. Journal of Experimental Botany. 75(20). 6462–6475. 3 indexed citations

Han, Fang-Xu, Peiyi Wang, Xi Chen, et al.. (2023). An ethylene-induced NAC transcription factor acts as a multiple abiotic stress responsor in conifer. Horticulture Research. 10(8). uhad130–uhad130. 16 indexed citations

Li, Jiang, Fang-Xu Han, Tong‐Qi Yuan, et al.. (2023). The methylation landscape of giga-genome and the epigenetic timer of age in Chinese pine. Nature Communications. 14(1). 1947–1947. 30 indexed citations

Nie, Yumeng, Fang-Xu Han, Jingjing Ma, et al.. (2022). Genome-wide TCP transcription factors analysis provides insight into their new functions in seasonal and diurnal growth rhythm in Pinus tabuliformis. BMC Plant Biology. 22(1). 167–167. 14 indexed citations

Ma, Jingjing, Xi Chen, Fang-Xu Han, et al.. (2022). The long road to bloom in conifers. SHILAP Revista de lepidopterología. 2(1). 0–0. 8 indexed citations

Chen, Xi, Yumeng Nie, Fang-Xu Han, et al.. (2021). Determination of conifer age biomarker DAL1 interactome using Y2H-seq. SHILAP Revista de lepidopterología. 1(1). 1–12. 13 indexed citations

Ma, Jingjing, et al.. (2020). Comparative transcriptome analyses reveal two distinct transcriptional modules associated with pollen shedding time in pine. BMC Genomics. 21(1). 504–504. 4 indexed citations

Ma, Jingjing, et al.. (2020). Phylogenetic relationship of Picea mongolica with other Picea species in the same area based on chloroplast gene variations. Journal of Forestry Research. 32(1). 297–305. 1 indexed citations

10.

Niu, Shihui, et al.. (2019). The transcriptional activity of a temperature-sensitive transcription factor module is associated with pollen shedding time in pine. Tree Physiology. 39(7). 1173–1186. 10 indexed citations

11.

Li, Wei, Jingjing Ma, Hongmei Liu, et al.. (2019). Gibberellin Signaling Is Required for Far-Red Light-Induced Shoot Elongation in Pinus tabuliformis Seedlings. PLANT PHYSIOLOGY. 182(1). 658–668. 27 indexed citations

12.

Lafrenière, Ronald G., Daniel Rochefort, Zoha Kibar, et al.. (1996). Isolation and Characterization of GT335, a Novel Human Gene Conserved inEscherichia coliand Mapping to 21q22.3. Genomics. 38(3). 264–272. 8 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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