Si‐Qi Bi

1.5k total citations · 1 hit paper
6 papers, 990 citations indexed

About

Si‐Qi Bi is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Si‐Qi Bi has authored 6 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Plant Science and 2 papers in Biochemistry. Recurrent topics in Si‐Qi Bi's work include Plant Gene Expression Analysis (6 papers), Plant Molecular Biology Research (4 papers) and Photosynthetic Processes and Mechanisms (2 papers). Si‐Qi Bi is often cited by papers focused on Plant Gene Expression Analysis (6 papers), Plant Molecular Biology Research (4 papers) and Photosynthetic Processes and Mechanisms (2 papers). Si‐Qi Bi collaborates with scholars based in China and New Zealand. Si‐Qi Bi's co-authors include Yu‐Jin Hao, Chun‐Xiang You, Jian‐Ping An, Xiao‐Fei Wang, Xiaowei Zhang, Xiaowei Zhang, Haifeng Xu, Xiaowei Zhang, Xiao‐Fei Wang and Xiaowei Zhang and has published in prestigious journals such as New Phytologist, The Plant Journal and Journal of Experimental Botany.

In The Last Decade

Si‐Qi Bi

6 papers receiving 979 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An apple MYB transcription factor regulates cold tolerance and anthocyanin accumulation and undergoes MIEL1‐mediated degradation

2019 289 citations Jian‐Ping An, Xiao‐Fei Wang et al. Plant Biotechnology Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Si‐Qi Bi China	6	839	668	242	44	25	6	990
Xuesen Chen China	9	570 0.7×	438 0.7×	186 0.8×	34 0.8×	29 1.2×	12	700
Ruiyan Tao China	12	1.3k 1.5×	899 1.3×	488 2.0×	45 1.0×	35 1.4×	20	1.4k
Changzhi Qu China	7	659 0.8×	451 0.7×	261 1.1×	43 1.0×	32 1.3×	10	778
Zhengkun Qiu China	13	669 0.8×	512 0.8×	246 1.0×	36 0.8×	50 2.0×	27	851
Blue Plunkett New Zealand	13	469 0.6×	424 0.6×	188 0.8×	24 0.5×	36 1.4×	16	632
Silan Dai China	17	689 0.8×	349 0.5×	252 1.0×	27 0.6×	38 1.5×	41	793
Biao Lai China	15	872 1.0×	526 0.8×	380 1.6×	33 0.8×	52 2.1×	24	1.0k
J.G.J. Mol Netherlands	6	649 0.8×	436 0.7×	144 0.6×	40 0.9×	44 1.8×	8	743
Ayako Ikegami Japan	15	680 0.8×	500 0.7×	240 1.0×	51 1.2×	67 2.7×	23	847
Ding Huang China	13	467 0.6×	346 0.5×	119 0.5×	16 0.4×	39 1.6×	28	587

Countries citing papers authored by Si‐Qi Bi

Since Specialization

Citations

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

Fields of papers citing papers by Si‐Qi Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si‐Qi Bi. 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 Si‐Qi Bi. The network helps show where Si‐Qi Bi may publish in the future.

Co-authorship network of co-authors of Si‐Qi Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Si‐Qi Bi. A scholar is included among the top collaborators of Si‐Qi Bi 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 Si‐Qi Bi. Si‐Qi Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

An, Jian‐Ping, Yajing Liu, Xiaowei Zhang, et al.. (2020). Dynamic regulation of anthocyanin biosynthesis at different light intensities by the BT2-TCP46-MYB1 module in apple. Journal of Experimental Botany. 71(10). 3094–3109. 92 indexed citations

2.

An, Jian‐Ping, Xiao‐Fei Wang, Richard V. Espley, et al.. (2019). An Apple B-Box Protein MdBBX37 Modulates Anthocyanin Biosynthesis and Hypocotyl Elongation Synergistically with MdMYBs and MdHY5. Plant and Cell Physiology. 61(1). 130–143. 91 indexed citations

3.

An, Jian‐Ping, Xiao‐Fei Wang, Xiaowei Zhang, et al.. (2019). An apple MYB transcription factor regulates cold tolerance and anthocyanin accumulation and undergoes MIEL1‐mediated degradation. Plant Biotechnology Journal. 18(2). 337–353. 289 indexed citations breakdown →

4.

An, Jian‐Ping, Xiaowei Zhang, Si‐Qi Bi, et al.. (2019). The ERF transcription factor MdERF38 promotes drought stress‐induced anthocyanin biosynthesis in apple. The Plant Journal. 101(3). 573–589. 251 indexed citations

5.

An, Jian‐Ping, Xiaowei Zhang, Chun‐Xiang You, et al.. (2019). MdWRKY40 promotes wounding‐induced anthocyanin biosynthesis in association with MdMYB1 and undergoes MdBT2‐mediated degradation. New Phytologist. 224(1). 380–395. 185 indexed citations

6.

An, Jian‐Ping, Xiaowei Zhang, Si‐Qi Bi, et al.. (2018). MdbHLH93, an apple activator regulating leaf senescence, is regulated by ABA and MdBT2 in antagonistic ways. New Phytologist. 222(2). 735–751. 82 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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