Bao‐Cai Tan

3.4k total citations · 1 hit paper
61 papers, 2.5k citations indexed

About

Bao‐Cai Tan is a scholar working on Molecular Biology, Plant Science and Materials Chemistry. According to data from OpenAlex, Bao‐Cai Tan has authored 61 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 21 papers in Plant Science and 2 papers in Materials Chemistry. Recurrent topics in Bao‐Cai Tan's work include Photosynthetic Processes and Mechanisms (45 papers), Mitochondrial Function and Pathology (26 papers) and RNA and protein synthesis mechanisms (16 papers). Bao‐Cai Tan is often cited by papers focused on Photosynthetic Processes and Mechanisms (45 papers), Mitochondrial Function and Pathology (26 papers) and RNA and protein synthesis mechanisms (16 papers). Bao‐Cai Tan collaborates with scholars based in China, United States and Hong Kong. Bao‐Cai Tan's co-authors include Donald R. McCarty, Kenneth Cline, Feng Sun, Wen‐Tao Deng, Qin‐Bao Li, Lijuan Liu, Zhihui Xiu, Yan‐Zhuo Yang, Yun Shen and Jonathan T. Vogel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Bao‐Cai Tan

57 papers receiving 2.5k citations

Hit Papers

Molecular characterization of the Arabidopsis 9‐cis epoxy... 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bao‐Cai Tan China 24 1.8k 1.4k 276 248 92 61 2.5k
Seong‐Ryong Kim South Korea 23 1.5k 0.8× 2.0k 1.4× 98 0.4× 251 1.0× 98 1.1× 47 2.3k
Yoshihiro Ugawa Japan 4 2.0k 1.1× 2.4k 1.7× 82 0.3× 135 0.5× 54 0.6× 8 2.9k
Jianli Liang China 23 1.4k 0.8× 1.4k 0.9× 100 0.4× 223 0.9× 96 1.0× 54 1.8k
Kyoko Matsui Japan 16 2.3k 1.2× 2.3k 1.6× 209 0.8× 59 0.2× 54 0.6× 16 2.9k
Marc C. Albertsen United States 24 1.1k 0.6× 1.5k 1.0× 80 0.3× 334 1.3× 202 2.2× 59 1.9k
Andan Zhu China 24 1.3k 0.7× 1.0k 0.7× 150 0.5× 188 0.8× 424 4.6× 40 1.9k
Chaozhi Ma China 29 1.8k 1.0× 1.6k 1.1× 64 0.2× 262 1.1× 149 1.6× 95 2.2k
Harin Jung South Korea 22 1.4k 0.8× 2.5k 1.7× 41 0.1× 205 0.8× 44 0.5× 27 2.8k
D. S. Robertson United States 26 1.4k 0.8× 2.1k 1.4× 182 0.7× 375 1.5× 63 0.7× 61 2.6k
Runze Wang China 16 1.3k 0.7× 1.1k 0.8× 173 0.6× 111 0.4× 109 1.2× 33 1.7k

Countries citing papers authored by Bao‐Cai Tan

Since Specialization
Citations

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

Fields of papers citing papers by Bao‐Cai Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bao‐Cai Tan. 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 Bao‐Cai Tan. The network helps show where Bao‐Cai Tan may publish in the future.

Co-authorship network of co-authors of Bao‐Cai Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Bao‐Cai Tan. A scholar is included among the top collaborators of Bao‐Cai Tan 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 Bao‐Cai Tan. Bao‐Cai Tan 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
2.
3.
Wang, Yong, et al.. (2024). Maize requires Embryo defective27 for embryogenesis and seedling development. PLANT PHYSIOLOGY. 195(1). 430–445. 2 indexed citations
4.
Liu, Hui, Xiaojie Li, Yafeng Zhang, et al.. (2024). A sucrose ferulate cycle linchpin for feruloylation of arabinoxylans in plant commelinids. Nature Plants. 10(9). 1389–1399. 5 indexed citations
5.
Wang, Yong, et al.. (2024). Multiple factors interact in editing of PPR-E+-targeted sites in maize mitochondria and plastids. Plant Communications. 5(5). 100836–100836. 6 indexed citations
6.
Wang, Yong, et al.. (2024). PPR596 Is Required for nad2 Intron Splicing and Complex I Biogenesis in Arabidopsis. International Journal of Molecular Sciences. 25(6). 3542–3542. 2 indexed citations
7.
Wang, Yong & Bao‐Cai Tan. (2024). Pentatricopeptide repeat proteins in plants: Cellular functions, action mechanisms, and potential applications. Plant Communications. 6(2). 101203–101203. 7 indexed citations
8.
Wang, Le, et al.. (2024). Maize Dek51 encodes a DEAD-box RNA helicase essential for pre-rRNA processing and seed development. Cell Reports. 43(9). 114673–114673.
9.
Zu, Xiaofeng, Lilan Luo, Jie Gong, et al.. (2023). A mitochondrial pentatricopeptide repeat protein enhances cold tolerance by modulating mitochondrial superoxide in rice. Nature Communications. 14(1). 6789–6789. 29 indexed citations
10.
Wei, Qingqing, et al.. (2023). PHB3 Is Required for the Assembly and Activity of Mitochondrial ATP Synthase in Arabidopsis. International Journal of Molecular Sciences. 24(10). 8787–8787. 1 indexed citations
11.
Yang, Yan‐Zhuo, et al.. (2023). The DEAD‐box RNA helicase ZmRH48 is required for the splicing of multiple mitochondrial introns, mitochondrial complex biosynthesis, and seed development in maize. Journal of Integrative Plant Biology. 65(11). 2456–2468. 11 indexed citations
12.
Liu, Hui, Zhihui Xiu, Huanhuan Yang, et al.. (2023). Defective kernel 58 encodes an Rrp15p domain‐containing protein essential to ribosome biogenesis and seed development in maize. New Phytologist. 241(4). 1662–1675. 4 indexed citations
13.
Zhao, Jiao, Xiulan Li, Rui Liu, et al.. (2022). EMP80 mediates the C‐to‐U editing of nad7 and atp4 and interacts with ZmDYW2 in maize mitochondria. New Phytologist. 234(4). 1237–1248. 8 indexed citations
14.
Liu, Rui, et al.. (2022). The small PPR protein SPR2 interacts with PPR–SMR1 to facilitate the splicing of introns in maize mitochondria. PLANT PHYSIOLOGY. 190(3). 1763–1776. 11 indexed citations
15.
Zheng, Peng, Yujun Liu, Xuejiao Liu, et al.. (2021). OsPPR939, a nad5 splicing factor, is essential for plant growth and pollen development in rice. Theoretical and Applied Genetics. 134(3). 923–940. 19 indexed citations
16.
Li, Xiulan, Huanhuan Yang, Feng Sun, et al.. (2018). EMP18 functions in mitochondrial atp6 and cox2 transcript editing and is essential to seed development in maize. New Phytologist. 221(2). 896–907. 44 indexed citations
17.
Tan, Bao‐Cai, et al.. (2017). Structure and Origin of the White Cap Locus and Its Role in Evolution of Grain Color in Maize. Genetics. 206(1). 135–150. 23 indexed citations
18.
Zhang, Yafeng, Masaharu Suzuki, Feng Sun, & Bao‐Cai Tan. (2017). The Mitochondrion-Targeted PENTATRICOPEPTIDE REPEAT78 Protein Is Required for nad5 Mature mRNA Stability and Seed Development in Maize. Molecular Plant. 10(10). 1321–1333. 47 indexed citations
19.
Zhang, Yafeng, Mingming Hou, & Bao‐Cai Tan. (2013). The Requirement of WHIRLY1 for Embryogenesis Is Dependent on Genetic Background in Maize. PLoS ONE. 8(6). e67369–e67369. 34 indexed citations
20.
Vogel, Jonathan T., Bao‐Cai Tan, Donald R. McCarty, & Harry J. Klee. (2008). The Carotenoid Cleavage Dioxygenase 1 Enzyme Has Broad Substrate Specificity, Cleaving Multiple Carotenoids at Two Different Bond Positions. Journal of Biological Chemistry. 283(17). 11364–11373. 222 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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