Hongmei Shu

583 total citations
20 papers, 383 citations indexed

About

Hongmei Shu is a scholar working on Plant Science, Molecular Biology and Biomaterials. According to data from OpenAlex, Hongmei Shu has authored 20 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 6 papers in Molecular Biology and 3 papers in Biomaterials. Recurrent topics in Hongmei Shu's work include Research in Cotton Cultivation (9 papers), RNA Interference and Gene Delivery (3 papers) and Advanced Cellulose Research Studies (3 papers). Hongmei Shu is often cited by papers focused on Research in Cotton Cultivation (9 papers), RNA Interference and Gene Delivery (3 papers) and Advanced Cellulose Research Studies (3 papers). Hongmei Shu collaborates with scholars based in China and United States. Hongmei Shu's co-authors include Youhua Wang, Zhiguo Zhou, Zheng Mi, Junwen Wu, Min Zhang, Kehai Liu, Naiyin Xu, Shuyue Wang, Zhiguo Zhou and Wenjing Zhang and has published in prestigious journals such as International Journal of Biological Macromolecules, BioMed Research International and Journal of Plant Physiology.

In The Last Decade

Hongmei Shu

20 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongmei Shu China 10 258 81 66 46 30 20 383
Hongtao Zhao China 12 538 2.1× 396 4.9× 34 0.5× 17 0.4× 4 0.1× 25 667
Sridhar Ravichandran Canada 11 362 1.4× 132 1.6× 34 0.5× 2 0.0× 13 0.4× 14 436
Agnieszka Mostek Poland 15 161 0.6× 112 1.4× 18 0.3× 6 0.1× 23 0.8× 20 485
Mostafa Valizadeh Iran 10 225 0.9× 93 1.1× 10 0.2× 21 0.5× 5 0.2× 40 328
Iqra Ajmal China 10 168 0.7× 94 1.2× 4 0.1× 49 1.1× 5 0.2× 16 496
Ruifang Bu China 8 190 0.7× 97 1.2× 9 0.1× 9 0.2× 8 0.3× 16 302
Jiaojiao Mou China 10 90 0.3× 87 1.1× 210 3.2× 3 0.1× 27 0.9× 13 383

Countries citing papers authored by Hongmei Shu

Since Specialization
Citations

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

Fields of papers citing papers by Hongmei Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongmei Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongmei Shu. A scholar is included among the top collaborators of Hongmei Shu 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 Hongmei Shu. Hongmei Shu 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.
Shu, Hongmei, et al.. (2024). Pyroptosis-Related Genes as Diagnostic Markers in Chronic Obstructive Pulmonary Disease and Its Correlation with Immune Infiltration. International Journal of COPD. Volume 19. 1491–1513. 4 indexed citations
2.
Shu, Hongmei, Yong Sun, Changqing Lin, et al.. (2021). Factors Influencing Viral Clearance in Mild COVID‐19 and Clinical Characteristics of Asymptomatic Patients. BioMed Research International. 2021(1). 5909612–5909612. 10 indexed citations
3.
Wu, Junwen, et al.. (2019). Characterization and anti-inflammatory effects of sulfated polysaccharide from the red seaweed Gelidium pacificum Okamura. International Journal of Biological Macromolecules. 129. 377–385. 91 indexed citations
4.
5.
Zhang, Min, Junwen Wu, Juanjuan Han, Hongmei Shu, & Kehai Liu. (2018). Isolation of polysaccharides from Dendrobium officinale leaves and anti-inflammatory activity in LPS-stimulated THP-1 cells. Chemistry Central Journal. 12(1). 32 indexed citations
6.
Shu, Hongmei, et al.. (2016). Binding Affinity, Cellular Uptake, and Subsequent Intracellular Trafficking of the Nano-Gene Vector P123-PEI-R13. Journal of Nanomaterials. 2016. 1–8. 2 indexed citations
7.
Shu, Hongmei, et al.. (2015). Analysis of Molecular Evolution and Gene Structure of EPSPS Protein in Plant Shikimate Pathway. CHINESE BULLETIN OF BOTANY. 50(3). 295–295. 1 indexed citations
8.
Feng, et al.. (2013). Construction and Verification of an Plant Expression Vector pCAMBIA2300-35S-GUS-CaMVterm. Zhongguo shengwu gongcheng zazhi. 33(3). 86–91. 1 indexed citations
9.
Li, Wei, Yuqing Chen, Yuanbing Shen, et al.. (2013). HIF-1α knockdown by miRNA decreases survivin expression and inhibits A549 cell growth in vitro and in vivo. International Journal of Molecular Medicine. 32(2). 271–280. 23 indexed citations
10.
Mi, Zheng, Youhua Wang, Kang Liu, Hongmei Shu, & Zhiguo Zhou. (2012). Protein expression changes during cotton fiber elongation in response to low temperature stress. Journal of Plant Physiology. 169(4). 399–409. 43 indexed citations
11.
Wang, Youhua, et al.. (2012). Sowing date and boll position affected boll weight, fiber quality and fiber physiological parameters in two cotton (Gossypium Hirsutum L.) cultivars. African Journal of Agricultural Research. 7(45). 6073–6081. 15 indexed citations
12.
Zhao, Xinhua, et al.. (2010). Effect of plant physiological age on biomass and nitrogen accumulation in cotton boll.. Zhongguo nongye Kexue. 43(22). 4605–4613. 6 indexed citations
13.
Shu, Hongmei, et al.. (2009). Physiological mechanisms of variation in temperature-sensitivity of cotton fiber strength formation between two cotton cultivars.. 42(7). 2332–2341. 3 indexed citations
14.
Zhang, Wenjing, et al.. (2009). Genotypic differences in some physiological characteristics during cotton fiber thickening and its influence on fiber strength. Acta Physiologiae Plantarum. 31(5). 927–935. 13 indexed citations
15.
Shu, Hongmei, Zhiguo Zhou, Naiyin Xu, Youhua Wang, & Zheng Mi. (2009). Sucrose metabolism in cotton (Gossypium hirsutum L.) fibre under low temperature during fibre development. European Journal of Agronomy. 31(2). 61–68. 68 indexed citations
16.
Wang, Youhua, Hongmei Shu, Binglin Chen, et al.. (2008). The rate of cellulose increase is highly related to cotton fibre strength and is significantly determined by its genetic background and boll period temperature. Plant Growth Regulation. 57(3). 43 indexed citations
17.
Zhang, Wenjing, et al.. (2008). Changes in C/N Ratio of Subtending Leaf of Cotton Boll and Its Relationship with Cotton Boll Dry Matter Accumulation and Distribution. Acta Agronomica Sinica. 34(2). 254–260. 14 indexed citations
18.
Shu, Hongmei. (2008). Activity Changes for Enzymes Associated with Fiber Development and Relation to Fiber Strength in Two Cotton Cultivars. ACTA AGRONOMICA SINICA. 34(3). 437–446. 2 indexed citations
19.
Shu, Hongmei, Youhua Wang, Wenjing Zhang, & Zhiguo Zhou. (2008). Activity Changes of Enzymes Associated with Fiber Development and Relationship with Fiber Specific Strength in Two Cotton Cultivars. Acta Agronomica Sinica. 34(3). 437–446. 5 indexed citations
20.
Ying, Wang, et al.. (2006). [Nitrogen absorption and allocation in cotton plant under effects of double-cropping wheat and cotton root mass].. PubMed. 17(12). 2341–6. 2 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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