This map shows the geographic impact of Miao 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 Miao Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Han more than expected).
This network shows the impact of papers produced by Miao 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 Miao Han. The network helps show where Miao Han may publish in the future.
Co-authorship network of co-authors of Miao Han
This figure shows the co-authorship network connecting the top 25 collaborators of Miao Han.
A scholar is included among the top collaborators of Miao 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 Miao Han. Miao Han is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Min, et al.. (2014). Quantitative trait loci associated with fruit length and stalk length in cucumber using RIL population.. Xibei zhiwu xuebao. 34(9). 1764–1770.4 indexed citations
7.
Han, Miao, et al.. (2013). Genetic Analysis and Gene Mapping of Glossy Fruit Skin in Cucumber. Acta Horticulturae Sinica. 40(2). 247.1 indexed citations
8.
Gu, Xingfang, et al.. (2013). A new cucumber F1 hybrid - 'Zhongnong No. 28'.. Zhongguo shucai. 95–97.1 indexed citations
9.
Dong, Shaoyun, Li Cao, Shengping Zhang, et al.. (2013). Effect of grafting on fruit appearance quality and flavor substances in cucumber.. Zhongguo shucai. 44–51.3 indexed citations
Han, Miao. (2012). Influence of Lipoic Acid on Transformation of Cucumber Cotyledon in vitro by Agrobacterium tumefaciens. Acta Agriculturae Boreali-Sinica.1 indexed citations
12.
Dong, Shaoyun, et al.. (2012). Genetic Analysis and Gene Mapping of White Fruit Skin in Cucumber(Cucumis sativus L. ). Xibei zhiwu xuebao. 32(11). 2177–2181.8 indexed citations
13.
Zhang, Shengping, et al.. (2011). Genetic Mapping of the Fruit Bitterness Gene(Bt)in Cucumber(Cucumis sativus L.). Acta Horticulturae Sinica. 38(4). 709–716.5 indexed citations
14.
Zhang, Shengping, et al.. (2011). QTL mapping of resistance genes to powdery mildew in cucumber (Cucumis sativus L.).. Zhongguo nongye Kexue. 44(17). 3584–3593.19 indexed citations
15.
Zhang, Shengping, et al.. (2011). The Insertion-deletion (Indel) marker linked to the fruit bitterness gene(bt) in cucumber.. Journal of Pharmaceutical and Biomedical Sciences. 19(4). 649–653.5 indexed citations
16.
Han, Miao, et al.. (2010). Mapping QTLs for Multiple Pistillate Flowers in Cucumber. Acta Horticulturae Sinica. 37(9). 1449–1455.2 indexed citations
17.
Gu, Xingfang, et al.. (2010). QTL analysis for fruit length of cucumber.. Zhongguo shucai. 20–25.7 indexed citations
18.
Han, Miao, Xingfang Gu, Shengping Zhang, et al.. (2010). Changes of the Photosynthetic Pigment and Differential Expression of the Correlated Genes in a Chlorophyll-Deficient Cucumber Mutant (Cucumis sativus L.). Zhongguo nongye Kexue. 43(19). 4027–4035.3 indexed citations
19.
Han, Miao, et al.. (2010). Fine Mapping of the Foliage Bitterness Gene(Bi)in Cucumis sativus. Acta Horticulturae Sinica. 37(7). 1073–1078.2 indexed citations
20.
Han, Miao. (2007). The Genetic Differentiation of Dongxiang Wild Rice (Oryza rufipogon Griff.) and Its Implications for In-Situ Conservation. Zhongguo nongye Kexue.4 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.