Xing Han

960 total citations
43 papers, 681 citations indexed

About

Xing Han is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Xing Han has authored 43 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 9 papers in Food Science and 8 papers in Molecular Biology. Recurrent topics in Xing Han's work include Horticultural and Viticultural Research (16 papers), Fermentation and Sensory Analysis (9 papers) and Soybean genetics and cultivation (6 papers). Xing Han is often cited by papers focused on Horticultural and Viticultural Research (16 papers), Fermentation and Sensory Analysis (9 papers) and Soybean genetics and cultivation (6 papers). Xing Han collaborates with scholars based in China, Pakistan and France. Xing Han's co-authors include Daolong Dou, Qiang Yan, Xiaoxia Cui, Na Guo, Jianmei Chen, Rongzhan Guan, Hongsheng Zhang, Shengxin Chang, Zhilei Wang and Li Hua and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Gene.

In The Last Decade

Xing Han

41 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xing Han China	15	535	210	90	37	37	43	681
Edgard Augusto de Toledo Picoli Brazil	15	511 1.0×	315 1.5×	50 0.6×	33 0.9×	29 0.8×	72	685
Pablo Delgado‐Sánchez Mexico	15	461 0.9×	224 1.1×	94 1.0×	63 1.7×	17 0.5×	42	646
Anita Sønsteby Norway	21	1.3k 2.5×	249 1.2×	48 0.5×	43 1.2×	45 1.2×	81	1.4k
Gloria De Mori Italy	5	329 0.6×	121 0.6×	32 0.4×	28 0.8×	23 0.6×	9	428
Anne Sophie A. S. Walker France	2	392 0.7×	132 0.6×	26 0.3×	43 1.2×	27 0.7×	3	516
Saurabh Pandey India	15	643 1.2×	181 0.9×	31 0.3×	25 0.7×	35 0.9×	51	768
Tongmin Zhao China	16	987 1.8×	374 1.8×	47 0.5×	17 0.5×	31 0.8×	29	1.1k
Guillermo A. A. Dosio Argentina	13	508 0.9×	171 0.8×	35 0.4×	27 0.7×	20 0.5×	22	576
Tribhuwan Singh India	9	446 0.8×	131 0.6×	29 0.3×	18 0.5×	23 0.6×	45	582
Т.Н. Архипова Russia	9	777 1.5×	185 0.9×	26 0.3×	18 0.5×	64 1.7×	26	859

Countries citing papers authored by Xing Han

Since Specialization

Citations

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

Fields of papers citing papers by Xing Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Han

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Han. A scholar is included among the top collaborators of Xing 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 Xing Han. Xing 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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20 of 20 papers shown

Wu, Haiyan, et al.. (2025). Identification of circular RNAs as biomarkers for pupal age estimation and postmortem interval in forensically important Sarcophaga peregrina (Diptera: Sarcophagidae). International Journal of Legal Medicine. 139(5). 2441–2455. 1 indexed citations

Wang, Zhilei, et al.. (2024). Mining, screening, and validation of cold-resistance molecular markers in Vitis vinifera L.. Euphytica. 220(6). 1 indexed citations

Ying, Wang, Xing Han, Zhilei Wang, et al.. (2022). Kaolin Particle Film Protects Grapevine cv. Cabernet Sauvignon Against Downy Mildew by Forming Particle Film at the Leaf Surface, Directly Acting on Sporangia and Inducing the Defense of the Plant. Frontiers in Plant Science. 12. 796545–796545. 14 indexed citations

Wang, Zhilei, Hui Miao, Ying Wang, et al.. (2022). Screening of cold hardiness-related indexes and establishment of a comprehensive evaluation method for grapevines (V. vinifera). Frontiers in Plant Science. 13. 1014330–1014330. 20 indexed citations

Wang, Zhilei, Fei Yao, Hui Miao, et al.. (2022). Fertility analysis of intraspecific hybrids in Vitis vinifera and screening of superior hybrid combinations. Frontiers in Plant Science. 13. 940540–940540. 7 indexed citations

Wang, Zhilei, et al.. (2021). Ecosystem Service Function and Assessment of the Value of Grape Industry in Soil-Burial Over-Wintering Areas. Horticulturae. 7(7). 202–202. 5 indexed citations

Han, Xing, Xu Liu, Zhilei Wang, et al.. (2021). A Sustainable Viticulture Method Adapted to the Cold Climate Zone in China. Horticulturae. 7(6). 150–150. 15 indexed citations

Ying, Wang, et al.. (2020). Kaolin Particle Film Affects Grapevine Berry Quality in cv. Meili in Humid Climate Conditions. HortScience. 55(12). 1987–2000. 16 indexed citations

Zhu, Longming, Yang Zhou, Xiangnan Li, et al.. (2018). Metabolomics Analysis of Soybean Hypocotyls in Response to Phytophthora sojae Infection. Frontiers in Plant Science. 9. 1530–1530. 43 indexed citations

10.

Yan, Qiang, Xiaoxia Cui, Xue Dong, et al.. (2016). Lignin content and expression of key biosynthetic genes in soybean upon infection by P. sojae.. Dadou kexue. 35(5). 789–794. 2 indexed citations

11.

Guo, Na, et al.. (2015). Genetic analysis and mapping of a single dominant Phytophthora sojae resistance gene in soybean.. Nanjing Nongye Daxue xuebao. 38(4). 532–537. 2 indexed citations

12.

Guo, Na, Wenwu Ye, Qiang Yan, et al.. (2014). Computational identification of novel microRNAs and targets in Glycine max. Molecular Biology Reports. 41(8). 4965–4975. 7 indexed citations

13.

Yan, Qiang, Xiaoxia Cui, Liming Su, et al.. (2014). GmSGT1 is differently required for soybean Rps genes-mediated and basal resistance to Phytophthora sojae. Plant Cell Reports. 33(8). 1275–1288. 12 indexed citations

14.

Wu, Xiaoling, Bin Zhou, Shi Sun, et al.. (2011). Genetic analysis and mapping of resistance to Phytophthora sojae of Pm14 in soybean.. Zhongguo nongye Kexue. 44(3). 456–460. 12 indexed citations

15.

Chen, Jianmei, et al.. (2011). Substoichiometrically Different Mitotypes Coexist in Mitochondrial Genomes of Brassica napus L. PLoS ONE. 6(3). e17662–e17662. 93 indexed citations

16.

Han, Xing. (2009). Identification and isolation of soybean root rot in Nanjing. Nanjing Nongye Daxue xuebao. 4 indexed citations

17.

Sun, Shi, Xiaoling Wu, Na Guo, et al.. (2009). Inheritance of resistance to Phytophthora sojae in soybean.. Zhongguo nongye Kexue. 42(2). 492–498. 1 indexed citations

18.

Han, Xing. (2008). Inheritance and Molecular Marker of Chilling Tolerance of Soybean in Early Stage. Dadou kexue. 3 indexed citations

19.

Han, Xing. (2007). QTL MAPPING FOR 100-SEED FRESH WEIGHT IN VEGETABLE SOYBEAN. Dadou kexue. 1 indexed citations

20.

Liu, Ying, Honghao Lv, Xing Han, et al.. (2007). Identification, inheritance and QTL mapping of root traits related to tolerance to rhizo-spheric stresses in soybean (G. max (L.) Merr.). Frontiers of Agriculture in China. 1(2). 119–128. 20 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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