Shengcheng Han

2.6k total citations
58 papers, 1.9k citations indexed

About

Shengcheng Han is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Shengcheng Han has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 30 papers in Molecular Biology and 7 papers in Insect Science. Recurrent topics in Shengcheng Han's work include Plant Molecular Biology Research (26 papers), Plant Stress Responses and Tolerance (16 papers) and Photosynthetic Processes and Mechanisms (16 papers). Shengcheng Han is often cited by papers focused on Plant Molecular Biology Research (26 papers), Plant Stress Responses and Tolerance (16 papers) and Photosynthetic Processes and Mechanisms (16 papers). Shengcheng Han collaborates with scholars based in China, United States and Germany. Shengcheng Han's co-authors include Michael P. Timko, Paul J. Rushton, Yingdian Wang, Laurie G. Smith, Heping Zhao, Hongbo Zhang, Zhen‐Ming Pei, Ruhang Tang, Sabine Müller and Lisa K. Anderson and has published in prestigious journals such as Nature, Science and The Journal of Cell Biology.

In The Last Decade

Shengcheng Han

54 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengcheng Han China 19 1.6k 1.2k 149 108 67 58 1.9k
Lee A. Meisel Chile 21 1.2k 0.8× 767 0.7× 103 0.7× 48 0.4× 37 0.6× 46 1.5k
Shoji Sugano Japan 24 2.9k 1.8× 1.7k 1.5× 225 1.5× 142 1.3× 143 2.1× 32 3.3k
Ying Gao China 24 2.6k 1.6× 2.0k 1.7× 93 0.6× 121 1.1× 135 2.0× 55 3.1k
Qingqiu Gong China 18 1.7k 1.1× 1.1k 1.0× 116 0.8× 30 0.3× 100 1.5× 42 2.2k
Ruth C. Martin United States 24 1.5k 1.0× 1.2k 1.0× 69 0.5× 75 0.7× 61 0.9× 70 2.0k
Irute Meskiene Austria 27 3.0k 1.9× 2.0k 1.7× 213 1.4× 99 0.9× 52 0.8× 40 3.4k
Alois Schweighofer Austria 14 1.8k 1.1× 1.2k 1.0× 131 0.9× 59 0.5× 31 0.5× 19 2.0k
Jirong Huang China 16 1.3k 0.8× 1.2k 1.0× 80 0.5× 24 0.2× 58 0.9× 36 1.8k
Jae‐Hoon Lee South Korea 24 1.7k 1.1× 1.5k 1.3× 96 0.6× 26 0.2× 41 0.6× 66 2.3k
Jeong‐Il Kim South Korea 28 2.0k 1.3× 1.7k 1.4× 65 0.4× 45 0.4× 44 0.7× 100 2.4k

Countries citing papers authored by Shengcheng Han

Since Specialization
Citations

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

Fields of papers citing papers by Shengcheng Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengcheng Han

This figure shows the co-authorship network connecting the top 25 collaborators of Shengcheng Han. A scholar is included among the top collaborators of Shengcheng 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 Shengcheng Han. Shengcheng Han 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.
Wang, Huanhuan, et al.. (2025). Non-coding RNA-mediated regulation of seed endosperm development. Frontiers in Plant Science. 16. 1640284–1640284.
2.
3.
Han, Shengcheng, Lixia Li, Pedro García‐Caparrós, et al.. (2025). Cyanoalanine Synthase encoding gene SlCAS1 regulates tomato fruit ripening by modulating pigment metabolism and ethylene biosynthesis. Postharvest Biology and Technology. 229. 113723–113723. 1 indexed citations
4.
Li, Wanjie, et al.. (2024). Long Noncoding RNAs in Response to Hyperosmolarity Stress, but Not Salt Stress, Were Mainly Enriched in the Rice Roots. International Journal of Molecular Sciences. 25(11). 6226–6226. 1 indexed citations
5.
6.
Li, Wanjie, Zitao Wang, Jin-Yuan Chen, et al.. (2023). Transcriptome Screening of Long Noncoding RNAs and Their Target Protein-Coding Genes Unmasks a Dynamic Portrait of Seed Coat Coloration Associated with Anthocyanins in Tibetan Hulless Barley. International Journal of Molecular Sciences. 24(13). 10587–10587. 9 indexed citations
7.
Zhang, Qi, Jun Yang, Jingjing Zhao, et al.. (2023). Transcriptome Analysis Reveals That C17 Mycosubtilin Antagonizes Verticillium dahliae by Interfering with Multiple Functional Pathways of Fungi. Biology. 12(4). 513–513. 6 indexed citations
8.
Wang, Zitao, et al.. (2022). Systematic Identification of Methyl Jasmonate-Responsive Long Noncoding RNAs and Their Nearby Coding Genes Unveils Their Potential Defence Roles in Tobacco BY-2 Cells. International Journal of Molecular Sciences. 23(24). 15568–15568. 6 indexed citations
9.
Shu, Chang, Chao Xi, Jin Liu, et al.. (2022). OsHSD2 interaction with and phosphorylation by OsCPK21 is essential for lipid metabolism during rice caryopsis development. Journal of Plant Physiology. 274. 153714–153714. 1 indexed citations
10.
Zhao, Caiyun, Yuping Yang, Zhongbang Song, et al.. (2021). NtAIDP1, a novel NtJAZ interacting protein, binds to an AT-rich region to activate the transcription of jasmonate-inducible genes in tobacco. Journal of Plant Physiology. 263. 153452–153452. 1 indexed citations
11.
Sui, Xueyi, Xiping He, Zhongbang Song, et al.. (2020). The gene NtMYC2a acts as a ‘master switch’ in the regulation of JA‐induced nicotine accumulation in tobacco. Plant Biology. 23(2). 317–326. 17 indexed citations
12.
Shu, Chang, Yixing Chen, Yihao Li, et al.. (2020). Auxin apical dominance governed by the OsAsp1-OsTIF1 complex determines distinctive rice caryopses development on different branches. PLoS Genetics. 16(10). e1009157–e1009157. 18 indexed citations
13.
Luo, Jin, Feifei Huang, Ping Gao, et al.. (2020). Intraorganellar calcium imaging in Arabidopsis seedling roots using the GCaMP variants GCaMP6m and R-CEPIA1er. Journal of Plant Physiology. 246-247. 153127–153127. 18 indexed citations
14.
Ma, Liang, Jiamin Ye, Yongqing Yang, et al.. (2019). The SOS2-SCaBP8 Complex Generates and Fine-Tunes an AtANN4-Dependent Calcium Signature under Salt Stress. Developmental Cell. 48(5). 697–709.e5. 170 indexed citations
15.
Chen, Yixing, Xiaojin Zhou, Chang Shu, et al.. (2019). OsCPK21 is required for pollen late-stage development in rice. Journal of Plant Physiology. 240. 153000–153000. 11 indexed citations
16.
Wang, Li, Qianli Dong, Chang Shu, et al.. (2017). FRET-based glucose imaging identifies glucose signalling in response to biotic and abiotic stresses in rice roots. Journal of Plant Physiology. 215. 65–72. 25 indexed citations
17.
Chen, Yixing, et al.. (2017). Calcium-dependent protein kinase 21 phosphorylates 14-3-3 proteins in response to ABA signaling and salt stress in rice. Biochemical and Biophysical Research Communications. 493(4). 1450–1456. 55 indexed citations
18.
Yuan, Fang, Yihao Li, Fang Wang, et al.. (2015). Genome-wide survey and expression analysis of the OSCA gene family in rice. BMC Plant Biology. 15(1). 261–261. 66 indexed citations
19.
Tang, Ruhang, Shengcheng Han, Hai‐Lei Zheng, et al.. (2007). Coupling Diurnal Cytosolic Ca 2+ Oscillations to the CAS-IP 3 Pathway in Arabidopsis. Science. 315(5817). 1423–1426. 131 indexed citations
20.
Müller, Sabine, Shengcheng Han, & Laurie G. Smith. (2006). Two Kinesins Are Involved in the Spatial Control of Cytokinesis in Arabidopsis thaliana. Current Biology. 16(9). 888–894. 120 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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