Miaoying Tian

3.4k total citations
37 papers, 2.4k citations indexed

About

Miaoying Tian is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Miaoying Tian has authored 37 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 18 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Miaoying Tian's work include Plant-Microbe Interactions and Immunity (23 papers), Plant Pathogens and Resistance (10 papers) and Insect Resistance and Genetics (7 papers). Miaoying Tian is often cited by papers focused on Plant-Microbe Interactions and Immunity (23 papers), Plant Pathogens and Resistance (10 papers) and Insect Resistance and Genetics (7 papers). Miaoying Tian collaborates with scholars based in United States, United Kingdom and Germany. Miaoying Tian's co-authors include Sophien Kamoun, Daniel F. Klessig, Joe Win, Renier A. L. van der Hoorn, Jing Song, Hyong Woo Choi, Trudy Torto-Alalibo, Brett L. Benedetti, Edgar Huitema and Brad Day and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Miaoying Tian

37 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miaoying Tian United States 24 2.0k 894 384 148 118 37 2.4k
M. Shahid Mukhtar United States 26 1.9k 0.9× 1.1k 1.3× 330 0.9× 148 1.0× 68 0.6× 73 2.6k
Karolina M. Pajerowska‐Mukhtar United States 18 2.4k 1.2× 1.1k 1.3× 439 1.1× 157 1.1× 92 0.8× 51 2.9k
Yasuhiro Kadota Japan 30 3.7k 1.8× 1.6k 1.7× 222 0.6× 154 1.0× 202 1.7× 59 4.3k
Jean‐Pierre Blein France 26 2.1k 1.1× 1.2k 1.4× 257 0.7× 145 1.0× 143 1.2× 46 2.7k
Laurence V. Bindschedler United Kingdom 26 2.1k 1.1× 1.0k 1.1× 352 0.9× 75 0.5× 49 0.4× 36 2.5k
Jan Cordewener Netherlands 31 1.6k 0.8× 1.5k 1.7× 167 0.4× 131 0.9× 70 0.6× 62 2.6k
Pingtao Ding United Kingdom 27 4.2k 2.1× 1.4k 1.6× 356 0.9× 162 1.1× 125 1.1× 38 4.7k
Tsuneaki Asai United States 17 3.3k 1.7× 2.1k 2.4× 342 0.9× 128 0.9× 86 0.7× 21 4.1k
María Coca Spain 28 1.9k 0.9× 1.4k 1.6× 198 0.5× 179 1.2× 117 1.0× 36 2.7k
Songbiao Chen China 20 1.9k 1.0× 1.3k 1.4× 302 0.8× 83 0.6× 30 0.3× 53 2.3k

Countries citing papers authored by Miaoying Tian

Since Specialization
Citations

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

Fields of papers citing papers by Miaoying Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miaoying Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Miaoying Tian. A scholar is included among the top collaborators of Miaoying Tian 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 Miaoying Tian. Miaoying Tian 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.
Góngora‐Castillo, Elsa, et al.. (2022). Development, Validation, and Utility of Species-Specific Diagnostic Markers for Detection of Peronospora belbahrii. Phytopathology. 112(8). 1667–1675. 2 indexed citations
2.
Tian, Miaoying, et al.. (2021). CRISPR/Cas9-mediated mutagenesis of sweet basil candidate susceptibility gene ObDMR6 enhances downy mildew resistance. PLoS ONE. 16(6). e0253245–e0253245. 44 indexed citations
3.
Tian, Miaoying, et al.. (2020). Agrobacterium -mediated Transformation of Sweet Basil ( Ocimum basilicum ). BIO-PROTOCOL. 10(22). e3828–e3828. 3 indexed citations
4.
Wu, Dongliang, et al.. (2016). Establishment of a simple and efficient Agrobacterium-mediated transformation system for Phytophthora palmivora. BMC Microbiology. 16(1). 204–204. 20 indexed citations
5.
Klessig, Daniel F., Miaoying Tian, & Hyong Woo Choi. (2016). Multiple Targets of Salicylic Acid and Its Derivatives in Plants and Animals. Frontiers in Immunology. 7. 206–206. 126 indexed citations
6.
Choi, Hyong Woo, Murli Manohar, Patricia Manosalva, et al.. (2016). Activation of Plant Innate Immunity by Extracellular High Mobility Group Box 3 and Its Inhibition by Salicylic Acid. PLoS Pathogens. 12(3). e1005518–e1005518. 69 indexed citations
7.
Choi, Hyong Woo, Miaoying Tian, Murli Manohar, et al.. (2015). Human GAPDH Is a Target of Aspirin’s Primary Metabolite Salicylic Acid and Its Derivatives. PLoS ONE. 10(11). e0143447–e0143447. 42 indexed citations
8.
Dong, Suomeng, Remco Stam, Liliana M. Cano, et al.. (2014). Effector Specialization in a Lineage of the Irish Potato Famine Pathogen. Science. 343(6170). 552–555. 160 indexed citations
9.
10.
Moreau, Magali, et al.. (2013). The Arabidopsis oligopeptidases TOP1 and TOP2 are salicylic acid targets that modulate SA‐mediated signaling and the immune response. The Plant Journal. 76(4). 603–614. 35 indexed citations
11.
Moreau, Magali, Miaoying Tian, & Daniel F. Klessig. (2012). Salicylic acid binds NPR3 and NPR4 to regulate NPR1-dependent defense responses. Cell Research. 22(12). 1631–1633. 67 indexed citations
12.
Porter, Katie J., Masaki Shimono, Miaoying Tian, & Brad Day. (2012). Arabidopsis Actin-Depolymerizing Factor-4 Links Pathogen Perception, Defense Activation and Transcription to Cytoskeletal Dynamics. PLoS Pathogens. 8(11). e1003006–e1003006. 79 indexed citations
13.
Tian, Miaoying, Joe Win, Elizabeth A. Savory, et al.. (2011). 454 Genome Sequencing of Pseudoperonospora cubensis Reveals Effector Proteins with a QXLR Translocation Motif. Molecular Plant-Microbe Interactions. 24(5). 543–553. 81 indexed citations
14.
Tian, Miaoying. (2005). Functional characterization of extracellular protease inhibitors of Phytophthora infestans. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
15.
Tian, Miaoying & Sophien Kamoun. (2005). A two disulfide bridge Kazal domain from Phytophthora exhibits stable inhibitory activity against serine proteases of the subtilisin family. BMC Biochemistry. 6(1). 15–15. 38 indexed citations
16.
Tian, Miaoying, Brett L. Benedetti, & Sophien Kamoun. (2005). A Second Kazal-Like Protease Inhibitor from Phytophthora infestans Inhibits and Interacts with the Apoplastic Pathogenesis-Related Protease P69B of Tomato. PLANT PHYSIOLOGY. 138(3). 1785–1793. 174 indexed citations
17.
Torto-Alalibo, Trudy, et al.. (2005). Expressed sequence tags from the oomycete fish pathogen Saprolegnia parasitica reveal putative virulence factors. BMC Microbiology. 5(1). 46–46. 83 indexed citations
18.
Huitema, Edgar, Jorunn I. B. Bos, Miaoying Tian, et al.. (2004). Linking sequence to phenotype in Phytophthora–plant interactions. Trends in Microbiology. 12(4). 193–200. 57 indexed citations
19.
Tian, Miaoying, Edgar Huitema, Luis da Cunha, Trudy Torto-Alalibo, & Sophien Kamoun. (2004). A Kazal-like Extracellular Serine Protease Inhibitor from Phytophthora infestans Targets the Tomato Pathogenesis-related Protease P69B. Journal of Biological Chemistry. 279(25). 26370–26377. 241 indexed citations
20.
Tian, Miaoying, et al.. (2000). Isolation and purification of Phytophthora infestans. 26(5). 36. 1 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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