Daoxin Li

706 total citations
21 papers, 538 citations indexed

About

Daoxin Li is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Daoxin Li has authored 21 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Daoxin Li's work include Polysaccharides and Plant Cell Walls (4 papers), Plant Pathogens and Fungal Diseases (4 papers) and Plant-Microbe Interactions and Immunity (3 papers). Daoxin Li is often cited by papers focused on Polysaccharides and Plant Cell Walls (4 papers), Plant Pathogens and Fungal Diseases (4 papers) and Plant-Microbe Interactions and Immunity (3 papers). Daoxin Li collaborates with scholars based in United States and China. Daoxin Li's co-authors include Pappachan E. Kolattukudy, Yeon-Ki Kim, Linda Rogers, Wenjin Guo, Luı́s González-Candelas, Tomonori Kawano, Tatiana D. Sirakova, William F. Ettinger, Zhimei Liu and Jiyan Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Daoxin Li

20 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daoxin Li United States 12 385 227 195 54 45 21 538
Aliki K. Tzima Greece 10 481 1.2× 245 1.1× 208 1.1× 26 0.5× 35 0.8× 23 559
Christian Lechat France 9 443 1.2× 199 0.9× 422 2.2× 116 2.1× 120 2.7× 39 556
Alexey Kopchinskiy Austria 7 324 0.8× 139 0.6× 177 0.9× 82 1.5× 35 0.8× 11 445
Mui‐Keng Tan Australia 17 567 1.5× 192 0.8× 193 1.0× 9 0.2× 67 1.5× 33 662
Ratnesh Chandra Mishra India 14 514 1.3× 314 1.4× 79 0.4× 27 0.5× 60 1.3× 18 661
Willi Schäfer Germany 6 376 1.0× 479 2.1× 131 0.7× 57 1.1× 34 0.8× 8 587
Kazufumi Nishi Japan 10 357 0.9× 143 0.6× 216 1.1× 64 1.2× 60 1.3× 27 447
Hongyou Zhou China 12 275 0.7× 118 0.5× 71 0.4× 17 0.3× 23 0.5× 58 362
Erwin Datema Netherlands 10 335 0.9× 350 1.5× 65 0.3× 17 0.3× 25 0.6× 11 593
Sanling Wu China 9 507 1.3× 135 0.6× 74 0.4× 18 0.3× 50 1.1× 15 597

Countries citing papers authored by Daoxin Li

Since Specialization
Citations

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

Fields of papers citing papers by Daoxin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoxin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Daoxin Li. A scholar is included among the top collaborators of Daoxin Li 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 Daoxin Li. Daoxin Li 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.
Li, Daoxin. (2024). Controlling overt subjects in Mandarin. Journal of East Asian Linguistics. 33(3). 333–366. 1 indexed citations
2.
Li, Daoxin, et al.. (2023). Acquiring recursive structures through distributional learning. Language Acquisition. 30(3-4). 323–336.
3.
Li, Daoxin. (2023). “Kongqi” Theory and the Aesthetic Spirit of Chinese Film. 3(1). 71–84. 1 indexed citations
4.
Lyu, Qing, et al.. (2022). Is “My Favorite New Movie” My Favorite Movie? Probing the Understanding of Recursive Noun Phrases. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5286–5302. 1 indexed citations
5.
Li, Daoxin, et al.. (2021). Distributional learning of recursive structures. PsyArXiv (OSF Preprints). 5 indexed citations
6.
Li, Daoxin. (2021). Controlling overt subjects in Mandarin. Proceedings of the Linguistic Society of America. 6(1). 303–303. 1 indexed citations
7.
Yin, Li, et al.. (2020). Decisions about consonant doubling among non-native speakers of English: graphotactic and phonological influences. Reading and Writing. 33(7). 1839–1858. 5 indexed citations
8.
9.
Xu, Yue, Zehao Shen, Daoxin Li, & Qinfeng Guo. (2015). Pre-Dispersal Seed Predation in a Species-Rich Forest Community: Patterns and the Interplay with Determinants. PLoS ONE. 10(11). e0143040–e0143040. 13 indexed citations
10.
Du, Zhimin, Yan Xie, Liqun Hu, et al.. (2014). Effects of Fertilization and Clipping on Carbon, Nitrogen Storage, and Soil Microbial Activity in a Natural Grassland in Southern China. PLoS ONE. 9(6). e99385–e99385. 19 indexed citations
11.
Li, Daoxin, Tatiana D. Sirakova, Linda Rogers, William F. Ettinger, & Pappachan E. Kolattukudy. (2002). Regulation of Constitutively Expressed and Induced Cutinase Genes by Different Zinc Finger Transcription Factors inFusarium solani f. sp. pisi(Nectria haematococca). Journal of Biological Chemistry. 277(10). 7905–7912. 71 indexed citations
12.
Rogers, Linda, Yeon-Ki Kim, Wenjin Guo, et al.. (2000). Requirement for either a host- or pectin-induced pectate lyase for infection of Pisum sativum by Nectria hematococca. Proceedings of the National Academy of Sciences. 97(17). 9813–9818. 109 indexed citations
13.
Kim, Yeon-Ki, Tomonori Kawano, Daoxin Li, & Pappachan E. Kolattukudy. (2000). A Mitogen-Activated Protein Kinase Kinase Required for Induction of Cytokinesis and Appressorium Formation by Host Signals in the Conidia of Colletotrichum gloeosporioides. The Plant Cell. 12(8). 1331–1343. 59 indexed citations
15.
Kim, Yeon-Ki, Daoxin Li, & Pappachan E. Kolattukudy. (1998). Induction of Ca 2+ -Calmodulin Signaling by Hard-Surface Contact Primes Colletotrichum gloeosporioides Conidia To Germinate and Form Appressoria. Journal of Bacteriology. 180(19). 5144–5150. 82 indexed citations
16.
Li, Daoxin & Pappachan E. Kolattukudy. (1997). Cloning of Cutinase Transcription Factor 1, a Transactivating Protein Containing Cys6Zn2 Binuclear Cluster DNA-binding Motif. Journal of Biological Chemistry. 272(19). 12462–12467. 47 indexed citations
17.
Li, Daoxin. (1995). TheFusarium solaniGene Encoding Kievitone Hydratase, a Secreted Enzyme that Catalyzes Detoxification of a Bean Phytoalexin. Molecular Plant-Microbe Interactions. 8(3). 388–388. 28 indexed citations
18.
Kolattukudy, Pappachan E., Daoxin Li, Cheng-Shine Hwang, & Moshe A. Flaishman. (1995). Host signals in fungal gene expression involved in penetration into the host. Canadian Journal of Botany. 73(S1). 1160–1168. 20 indexed citations
19.
Li, Daoxin & Pappachan E. Kolattukudy. (1995). Cloning and Expression of cDNA Encoding a Protein That Binds a Palindromic Promoter Element Essential for Induction of Fungal Cutinase by Plant Cutin. Journal of Biological Chemistry. 270(20). 11753–11756. 21 indexed citations
20.
Li, Daoxin, et al.. (1990). Induction and purification of kievitone hydratase from Fusarium solani f. sp. phaseoli. Phytochemistry. 29(9). 2841–2846. 14 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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