Shih‐Feng Fu

2.1k total citations
34 papers, 1.6k citations indexed

About

Shih‐Feng Fu is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Shih‐Feng Fu has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 16 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Shih‐Feng Fu's work include Plant-Microbe Interactions and Immunity (13 papers), Plant Stress Responses and Tolerance (8 papers) and Plant Molecular Biology Research (7 papers). Shih‐Feng Fu is often cited by papers focused on Plant-Microbe Interactions and Immunity (13 papers), Plant Stress Responses and Tolerance (8 papers) and Plant Molecular Biology Research (7 papers). Shih‐Feng Fu collaborates with scholars based in Taiwan, United States and Ghana. Shih‐Feng Fu's co-authors include Jui‐Yu Chou, Hao-Jen Huang, Hsueh-Yu Lu, Ngọc Nam Trịnh, Hung‐Wei Chen, Tsai‐Lien Huang, Wei‐Ta Fang, Quynh Thi Thuy Nguyen, Ying‐Chih Chen and Hao‐Jen Huang and has published in prestigious journals such as PLoS ONE, Journal of Chromatography A and Sensors.

In The Last Decade

Shih‐Feng Fu

34 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shih‐Feng Fu Taiwan 18 1.2k 537 136 133 129 34 1.6k
Bizeng Mao China 24 2.2k 1.7× 1.0k 1.9× 186 1.4× 135 1.0× 169 1.3× 58 2.6k
Filippo Passardi Switzerland 10 2.1k 1.7× 1.0k 1.9× 86 0.6× 163 1.2× 78 0.6× 10 2.5k
Mehar Hasan Asif India 33 2.2k 1.8× 1.5k 2.8× 187 1.4× 64 0.5× 204 1.6× 83 3.0k
Zhiqi Shi China 20 873 0.7× 233 0.4× 63 0.5× 223 1.7× 107 0.8× 56 1.3k
Bo Qin China 24 793 0.6× 643 1.2× 66 0.5× 128 1.0× 61 0.5× 53 1.5k
Kun Xu China 23 1.1k 0.9× 411 0.8× 185 1.4× 35 0.3× 54 0.4× 101 1.6k
Gábor Gullner Hungary 22 2.1k 1.7× 775 1.4× 202 1.5× 260 2.0× 35 0.3× 73 2.5k
Yuan Cheng China 27 1.7k 1.4× 705 1.3× 129 0.9× 83 0.6× 30 0.2× 75 2.1k
Mercè Figueras Spain 21 1.2k 1.0× 634 1.2× 309 2.3× 162 1.2× 46 0.4× 36 1.8k
Iftekhar Alam South Korea 21 1.2k 1.0× 739 1.4× 215 1.6× 47 0.4× 180 1.4× 59 1.7k

Countries citing papers authored by Shih‐Feng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Feng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Feng Fu. 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 Shih‐Feng Fu. The network helps show where Shih‐Feng Fu may publish in the future.

Co-authorship network of co-authors of Shih‐Feng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Feng Fu. A scholar is included among the top collaborators of Shih‐Feng Fu 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 Shih‐Feng Fu. Shih‐Feng Fu 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.
Fu, Shih‐Feng, et al.. (2024). The phosphate-solubilising fungi in sustainable agriculture: unleashing the potential of fungal biofertilisers for plant growth. Folia Microbiologica. 69(4). 697–712. 7 indexed citations
2.
Tsai, Hung‐Wen, Tsunghsueh Wu, Chiu‐Lan Hsieh, et al.. (2023). Green synthesis of gardenia seeds-based carbon dots for bacterial imaging and antioxidant activity in aqueous and oil samples. RSC Advances. 13(42). 29283–29290. 12 indexed citations
3.
Fu, Shih‐Feng, et al.. (2022). Plant growth-promoting properties of the phosphate-solubilizing red yeast Rhodosporidium paludigenum. World Journal of Microbiology and Biotechnology. 39(2). 54–54. 7 indexed citations
4.
Chen, Yi‐Ru, et al.. (2019). Silencing of NbCMT3s has Pleiotropic Effects on Development by Interfering with Autophagy-Related Genes in Nicotiana benthamiana. Plant and Cell Physiology. 60(5). 1120–1135. 4 indexed citations
5.
Fu, Shih‐Feng, et al.. (2016). Plant growth-promoting traits of yeasts isolated from the phyllosphere and rhizosphere of Drosera spatulata Lab.. Fungal Biology. 120(3). 433–448. 144 indexed citations
6.
7.
Lin, Yu-Ting, et al.. (2015). Developmental- and Tissue-Specific Expression of NbCMT3-2 Encoding a Chromomethylase in Nicotiana benthamiana. Plant and Cell Physiology. 56(6). 1124–1143. 10 indexed citations
8.
Fu, Shih‐Feng, et al.. (2015). Comparative miRNAs analysis of Two contrasting broccoli inbred lines with divergent head-forming capacity under temperature stress. BMC Genomics. 16(1). 1026–1026. 20 indexed citations
9.
Fu, Shih‐Feng, et al.. (2014). Transcriptome profiling of genes and pathways associated with arsenic toxicity and tolerance in Arabidopsis. BMC Plant Biology. 14(1). 94–94. 70 indexed citations
10.
Fang, Wei‐Ta, et al.. (2014). Indole-3-Acetic Acid-Producing Yeasts in the Phyllosphere of the Carnivorous Plant Drosera indica L. PLoS ONE. 9(12). e114196–e114196. 103 indexed citations
11.
Huang, Tsai‐Lien, et al.. (2014). Genomic profiling of rice roots with short- and long-term chromium stress. Plant Molecular Biology. 86(1-2). 157–170. 43 indexed citations
12.
Trịnh, Ngọc Nam, et al.. (2013). Chromium stress response effect on signal transduction and expression of signaling genes in rice. Physiologia Plantarum. 150(2). 205–224. 86 indexed citations
13.
Fu, Shih‐Feng, et al.. (2012). Transcriptome Analysis of Age-Related Gain of Callus-Forming Capacity in Arabidopsis Hypocotyls. Plant and Cell Physiology. 53(8). 1457–1469. 15 indexed citations
14.
Fu, Shih‐Feng, et al.. (2012). Characterization of the early response of the orchid, Phalaenopsis amabilis, to Erwinia chrysanthemi infection using expression profiling. Physiologia Plantarum. 145(3). 406–425. 9 indexed citations
15.
Nguyen, Quynh Thi Thuy, et al.. (2012). Transcriptomic changes and signalling pathways induced by arsenic stress in rice roots. Plant Molecular Biology. 80(6). 587–608. 145 indexed citations
16.
Fu, Shih‐Feng, et al.. (2011). Identification of transcriptome profiles and signaling pathways for the allelochemical juglone in rice roots. Plant Molecular Biology. 77(6). 591–607. 41 indexed citations
17.
Lee, Wing‐Sham, Shih‐Feng Fu, Jeanmarie Verchot, & John P. Carr. (2011). Genetic modification of alternative respiration in Nicotiana benthamianaaffects basal and salicylic acid-induced resistance to potato virus X. BMC Plant Biology. 11(1). 41–41. 60 indexed citations
18.
Pu, Szu‐Yuan, Toshio Murashige, Shih‐Feng Fu, et al.. (2003). Phase- and Age-Related Differences in Protein Tyrosine Phosphorylation in Sequoia sempervirens. Biologia Plantarum. 46(4). 601–603. 11 indexed citations
19.
Fu, Shih‐Feng, et al.. (2002). Transcriptional Regulation of a Rice Mitogen-Activated Protein Kinase Gene, OsMAPK4, in Response to Environmental Stresses. Plant and Cell Physiology. 43(8). 958–963. 78 indexed citations
20.
Huang, Hao‐Jen, et al.. (2002). Expression of Oryza sativa MAP kinase gene is developmentally regulated and stress‐responsive. Physiologia Plantarum. 114(4). 572–580. 61 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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