Su‐Fen Chiang

2.0k total citations · 1 hit paper
8 papers, 1.5k citations indexed

About

Su‐Fen Chiang is a scholar working on Plant Science, Molecular Biology and Oncology. According to data from OpenAlex, Su‐Fen Chiang has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 1 paper in Molecular Biology and 1 paper in Oncology. Recurrent topics in Su‐Fen Chiang's work include Plant nutrient uptake and metabolism (7 papers), Plant Micronutrient Interactions and Effects (5 papers) and Plant Molecular Biology Research (4 papers). Su‐Fen Chiang is often cited by papers focused on Plant nutrient uptake and metabolism (7 papers), Plant Micronutrient Interactions and Effects (5 papers) and Plant Molecular Biology Research (4 papers). Su‐Fen Chiang collaborates with scholars based in Taiwan and Spain. Su‐Fen Chiang's co-authors include Tzyy‐Jen Chiou, Shu-I Lin, Chun-Lin Su, Kyaw Aung, Wei‐Yi Lin, Pei‐Chi Wu, Wen‐Chien Lu, Fu‐Nien Wang, Shu‐Yi Yang and Shang‐Yueh Tsai and has published in prestigious journals such as Nature Communications, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Su‐Fen Chiang

8 papers receiving 1.5k 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.

Regulation of Phosphate Homeostasis by MicroRNA in Arabidopsis

2005 670 citations Tzyy‐Jen Chiou, Kyaw Aung et al. The Plant Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Su‐Fen Chiang Taiwan	8	1.4k	413	36	29	29	8	1.5k
Teng‐Kuei Huang Taiwan	9	1.0k 0.7×	399 1.0×	42 1.2×	5 0.2×	26 0.9×	10	1.2k
Mónica Rojas‐Triana Spain	7	873 0.6×	296 0.7×	22 0.6×	9 0.3×	36 1.2×	9	976
Mingguang Lei China	14	1.1k 0.7×	697 1.7×	6 0.2×	13 0.4×	10 0.3×	26	1.2k
Huiqin Wang China	14	618 0.4×	314 0.8×	7 0.2×	55 1.9×	70 2.4×	49	846
Rita A. Batista Sweden	11	918 0.7×	521 1.3×	9 0.3×	13 0.4×	23 0.8×	12	1.1k
Shanshan Chu China	18	847 0.6×	276 0.7×	10 0.3×	31 1.1×	33 1.1×	37	1.0k
Hui‐Fen Kuo Taiwan	8	806 0.6×	220 0.5×	18 0.5×	13 0.4×	25 0.9×	10	902
Nannan Zhang China	14	317 0.2×	234 0.6×	16 0.4×	36 1.2×	8 0.3×	57	587
Liuyi Yang China	15	511 0.4×	324 0.8×	6 0.2×	63 2.2×	16 0.6×	32	753
Anjil Kumar Srivastava United Kingdom	17	690 0.5×	636 1.5×	5 0.1×	24 0.8×	13 0.4×	31	982

Countries citing papers authored by Su‐Fen Chiang

Since Specialization

Citations

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

Fields of papers citing papers by Su‐Fen Chiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Fen Chiang. 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 Su‐Fen Chiang. The network helps show where Su‐Fen Chiang may publish in the future.

Co-authorship network of co-authors of Su‐Fen Chiang

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Chien, Pei-Shan, Ya‐Ting Chao, Yuying Hsu, et al.. (2022). Phosphate transporter PHT1;1 is a key determinant of phosphorus acquisition in Arabidopsis natural accessions. PLANT PHYSIOLOGY. 190(1). 682–697. 21 indexed citations

2.

Campos‐Soriano, Lidia, Mireia Bundó, Marcel Bach‐Pages, et al.. (2020). Phosphate excess increases susceptibility to pathogen infection in rice. Molecular Plant Pathology. 21(4). 555–570. 72 indexed citations

3.

Lin, Wei‐Yi, et al.. (2017). Evolution of microRNA827 targeting in the plant kingdom. New Phytologist. 217(4). 1712–1725. 42 indexed citations

4.

Liu, Tzu‐Yin, Teng‐Kuei Huang, Shu‐Yi Yang, et al.. (2016). Identification of plant vacuolar transporters mediating phosphate storage. Nature Communications. 7(1). 11095–11095. 228 indexed citations

5.

Kuo, Hui‐Fen, et al.. (2014). Arabidopsis inositol pentakisphosphate 2‐kinase, AtIPK1, is required for growth and modulates phosphate homeostasis at the transcriptional level. The Plant Journal. 80(3). 503–515. 81 indexed citations

6.

Lin, Shu-I, et al.. (2008). Regulatory Network of MicroRNA399 and PHO2 by Systemic Signaling . PLANT PHYSIOLOGY. 147(2). 732–746. 356 indexed citations

7.

Chiou, Tzyy‐Jen, et al.. (2005). Regulation of Phosphate Homeostasis by MicroRNA in Arabidopsis. The Plant Cell. 18(2). 412–421. 670 indexed citations breakdown →

8.

Chiang, Su‐Fen, et al.. (1995). Regulation of cyclin D1, DNA topoisomerase I, and proliferating cell nuclear antigen promoters during the cell cycle.. PubMed. 4(3). 95–109. 35 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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