Guilan Cao

766 total citations
42 papers, 585 citations indexed

About

Guilan Cao is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Guilan Cao has authored 42 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 33 papers in Genetics and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Guilan Cao's work include Genetic Mapping and Diversity in Plants and Animals (33 papers), GABA and Rice Research (28 papers) and Rice Cultivation and Yield Improvement (28 papers). Guilan Cao is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (33 papers), GABA and Rice Research (28 papers) and Rice Cultivation and Yield Improvement (28 papers). Guilan Cao collaborates with scholars based in China, South Korea and United States. Guilan Cao's co-authors include Longzhi Han, Xiaoding Ma, Sanyuan Zhang, Hee‐Jong Koh, Yongli Qiao, Di Cui, Yuanyuan Zhang, Yanjie Wang, Bing Han and Jong-Hwan Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Experimental Botany.

In The Last Decade

Guilan Cao

41 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guilan Cao China 15 521 401 61 22 11 42 585
Isiaka Kareem Malaysia 5 383 0.7× 84 0.2× 37 0.6× 12 0.5× 9 409
Rosalind Morris United States 15 470 0.9× 143 0.4× 85 1.4× 20 0.9× 5 0.5× 44 536
H. T. Stalker United States 12 351 0.7× 56 0.1× 98 1.6× 15 0.7× 22 2.0× 26 424
Akio Kojima Japan 12 281 0.5× 44 0.1× 74 1.2× 47 2.1× 4 0.4× 33 351
Huimin Fang China 10 246 0.5× 84 0.2× 117 1.9× 15 0.7× 4 0.4× 18 319
Amina Abed Canada 8 209 0.4× 128 0.3× 52 0.9× 12 0.5× 12 282
Natalie Harker Australia 5 293 0.6× 157 0.4× 57 0.9× 8 0.4× 2 0.2× 6 329
Hazel Bull United Kingdom 9 303 0.6× 122 0.3× 45 0.7× 13 0.6× 11 340
Felix Jähne Germany 5 259 0.5× 49 0.1× 122 2.0× 8 0.4× 2 0.2× 5 308
Song Song China 8 179 0.3× 44 0.1× 118 1.9× 16 0.7× 5 0.5× 13 284

Countries citing papers authored by Guilan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Guilan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Guilan Cao. A scholar is included among the top collaborators of Guilan Cao 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 Guilan Cao. Guilan Cao 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.
Han, Bing, et al.. (2021). Evidence for evolution and selection of drought-resistant genes based on high-throughput resequencing in weedy rice. Journal of Experimental Botany. 73(7). 1949–1962. 8 indexed citations
2.
Han, Bing, et al.. (2020). Parallel reaction monitoring revealed tolerance to drought proteins in weedy rice (Oryza sativa f. spontanea). Scientific Reports. 10(1). 12935–12935. 8 indexed citations
3.
Han, Bing, Xiaoding Ma, Di Cui, et al.. (2020). Comprehensive Evaluation and Analysis of the Mechanism of Cold Tolerance Based on the Transcriptome of Weedy Rice Seedlings. Rice. 13(1). 12–12. 32 indexed citations
4.
Cui, Di, Jinmei Li, Tengqiong Yu, et al.. (2017). Genetic structure and isolation by altitude in rice landraces of Yunnan, China revealed by nucleotide and microsatellite marker polymorphisms. PLoS ONE. 12(4). e0175731–e0175731. 9 indexed citations
5.
Pan, Yinghua, Hongliang Zhang, Dongling Zhang, et al.. (2015). Genetic Analysis of Cold Tolerance at the Germination and Booting Stages in Rice by Association Mapping. PLoS ONE. 10(3). e0120590–e0120590. 75 indexed citations
6.
Zhang, Yuanyuan, Shu Ai-ping, Lina Zhang, Guilan Cao, & Longzhi Han. (2011). Analysis of Genetic Structure for Indica Rice Landraces from Different Provinces in China. ACTA AGRONOMICA SINICA. 37(12). 2173–2178. 1 indexed citations
7.
Li, Yafei, et al.. (2010). Effects of Genetic Background on Expression of QTL for Nitrogen Efficiency in Irrigated Rice and Upland Rice. Zhongguo nongye Kexue. 43(21). 4331–4340. 6 indexed citations
8.
Zhang, Lina, Guilan Cao, & Longzhi Han. (2010). Analysis of Genetic Similarity for Upland Landrace Rices from Different Geographical Origins in China. Zhongguo nongye Kexue. 43(17). 3481–3488. 2 indexed citations
9.
Cao, Guilan, et al.. (2009). Detection of QTL for alkali tolerance at the germination stage in japonica rice.. Zhongguo shuidao kexue. 23(6). 589–594. 1 indexed citations
10.
Xu, Lei, et al.. (2009). Detection of Quantitative Trait Loci for Chalky Traits in japonica Rice. Zhongguo shuidao kexue. 23(4). 371–376. 1 indexed citations
11.
Ai-ping, Shu, et al.. (2009). Analysis of Genetic Similarity of Improved Japonica Rice Varieties from Different Provinces in China. Zhongguo nongye Kexue. 42(10). 3381–3387. 1 indexed citations
12.
Lee, Myung‐Chul, Junguo Zhang, Guilan Cao, et al.. (2008). Identification of quantitative trait loci for the dead leaf rate and the seedling dead rate under alkaline stress in rice. Journal of genetics and genomics. 35(5). 299–305. 22 indexed citations
13.
Han, Longzhi, Yongli Qiao, Sanyuan Zhang, et al.. (2007). Identification of Quantitative Trait Loci for Cold Response of Seedling Vigor Traits in Rice. Journal of genetics and genomics. 34(3). 239–246. 53 indexed citations
14.
Cao, Guilan. (2006). Evaluation of Tolerance to Low N-fertilized Level for Rice Type. Zhiwu yichuan ziyuan xuebao. 4 indexed citations
15.
Lee, Kyu‐Seong, et al.. (2006). Progress of Genetic Research on Trace Minerals Content in Rice Seed. 39(10). 1947–1955. 1 indexed citations
16.
Han, Longzhi, Yuanyuan Zhang, Yongli Qiao, et al.. (2006). Genetic and QTL Analysis for Low-Temperature Vigor of Germination in Rice. Acta Genetica Sinica. 33(11). 998–1006. 55 indexed citations
17.
Cao, Guilan. (2005). Status of Collection, Conservation and Propagation of Rice Germplasm in China. Zhiwu yichuan ziyuan xuebao. 4 indexed citations
18.
Han, Longzhi, et al.. (2005). Identification of QTLs for cold tolerance at the booting stage in rice. Zuo wu xue bao. 31(5). 653–657. 6 indexed citations
19.
Han, Longzhi, et al.. (2004). QTLs Analysis of Cold Tolerance During Early Growth Period for Rice. 11. 245–250. 16 indexed citations
20.
Han, Longzhi, et al.. (2004). Relationship between cold tolerance at the budbursting period and other traits related to cold tolerance in rice. Zuo wu xue bao. 30(10). 990–995. 5 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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