Lian‐Chao Li

513 total citations
9 papers, 397 citations indexed

About

Lian‐Chao Li is a scholar working on Molecular Biology, Plant Science and Control and Systems Engineering. According to data from OpenAlex, Lian‐Chao Li has authored 9 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Plant Science and 2 papers in Control and Systems Engineering. Recurrent topics in Lian‐Chao Li's work include Polysaccharides and Plant Cell Walls (4 papers), Plant Reproductive Biology (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Lian‐Chao Li is often cited by papers focused on Polysaccharides and Plant Cell Walls (4 papers), Plant Reproductive Biology (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Lian‐Chao Li collaborates with scholars based in United States, Taiwan and Japan. Lian‐Chao Li's co-authors include Daniel J. Cosgrove, Akira Tabuchi, Neela H. Yennawar, David M. Dudzinski, Javier Sampedro, Mara Guttman, Liwang Cui, Jianyong Li, Xiao‐Wen Cheng and Xiaofan Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Journal and European Journal of Biochemistry.

In The Last Decade

Lian‐Chao Li

9 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lian‐Chao Li United States	7	285	181	76	44	40	9	397
Pere Puigdom�nech Spain	9	328 1.2×	334 1.8×	46 0.6×	59 1.3×	19 0.5×	11	472
Maura Begheldo Italy	14	734 2.6×	420 2.3×	15 0.2×	22 0.5×	21 0.5×	20	884
Carol Boyd United States	8	170 0.6×	142 0.8×	34 0.4×	116 2.6×	18 0.5×	9	322
Shanshan Liu China	14	226 0.8×	106 0.6×	8 0.1×	8 0.2×	11 0.3×	35	380
Richard T. DeRose France	10	323 1.1×	334 1.8×	17 0.2×	51 1.2×	4 0.1×	12	495
Gerben J. van Eldik Netherlands	11	239 0.8×	292 1.6×	9 0.1×	31 0.7×	11 0.3×	16	345
Maija‐Leena Onnela Finland	8	154 0.5×	401 2.2×	335 4.4×	199 4.5×	5 0.1×	9	543
Nelson Barton United States	5	154 0.5×	262 1.4×	59 0.8×	35 0.8×	3 0.1×	5	358
J. Rueda Spain	11	180 0.6×	299 1.7×	9 0.1×	43 1.0×	59 1.5×	21	389
Mieke J. van Zeijl Netherlands	8	143 0.5×	236 1.3×	37 0.5×	67 1.5×	4 0.1×	9	383

Countries citing papers authored by Lian‐Chao Li

Since Specialization

Citations

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

Fields of papers citing papers by Lian‐Chao Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lian‐Chao Li

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

All Works

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9 of 9 papers shown

Wang, Mei‐Hui, et al.. (2020). A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction. 1–6. 4 indexed citations

Lee, Chang-Shing, et al.. (2019). FML-based Intelligent Agent for Robotic e-Learning and Entertainment Application. 1–6. 1 indexed citations

Colter, David C., Lian‐Chao Li, Jingjie Mo, et al.. (2019). Using bispecific antibodies in forced degradation studies to analyze the structure–function relationships of symmetrically and asymmetrically modified antibodies. mAbs. 11(6). 1101–1112. 16 indexed citations

Sampedro, Javier, Mara Guttman, Lian‐Chao Li, & Daniel J. Cosgrove. (2014). Evolutionary divergence of β–expansin structure and function in grasses parallels emergence of distinctive primary cell wall traits. The Plant Journal. 81(1). 108–120. 50 indexed citations

Tabuchi, Akira, Lian‐Chao Li, & Daniel J. Cosgrove. (2011). Matrix solubilization and cell wall weakening by β‐expansin (group‐1 allergen) from maize pollen. The Plant Journal. 68(3). 546–559. 54 indexed citations

Feng, Baomin, Lian‐Chao Li, Xiaofan Zhou, Bruce A. Stanley, & Hong Mā. (2009). Analysis of the Arabidopsis Floral Proteome: Detection of over 2 000 Proteins and Evidence for Posttranslational Modifications. Journal of Integrative Plant Biology. 51(2). 207–223. 12 indexed citations

Cui, Liwang, Xiao‐Wen Cheng, Lian‐Chao Li, & Jianyong Li. (2007). Identification of Trichoplusia ni ascovirus 2c virion structural proteins. Journal of General Virology. 88(8). 2194–2197. 12 indexed citations

Yennawar, Neela H., Lian‐Chao Li, David M. Dudzinski, Akira Tabuchi, & Daniel J. Cosgrove. (2006). Crystal structure and activities of EXPB1 (Zea m 1), a β-expansin and group-1 pollen allergen from maize. Proceedings of the National Academy of Sciences. 103(40). 14664–14671. 197 indexed citations

Li, Lian‐Chao & Daniel J. Cosgrove. (2001). Grass group I pollen allergens (β‐expansins) lack proteinase activity and do not cause wall loosening via proteolysis. European Journal of Biochemistry. 268(15). 4217–4226. 51 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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