Lan‐Ying Lee

2.3k total citations
30 papers, 1.8k citations indexed

About

Lan‐Ying Lee is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Lan‐Ying Lee has authored 30 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 21 papers in Plant Science and 9 papers in Biotechnology. Recurrent topics in Lan‐Ying Lee's work include Plant tissue culture and regeneration (21 papers), CRISPR and Genetic Engineering (11 papers) and Chromosomal and Genetic Variations (9 papers). Lan‐Ying Lee is often cited by papers focused on Plant tissue culture and regeneration (21 papers), CRISPR and Genetic Engineering (11 papers) and Chromosomal and Genetic Variations (9 papers). Lan‐Ying Lee collaborates with scholars based in United States, Taiwan and China. Lan‐Ying Lee's co-authors include Stanton B. Gelvin, Mei‐Jane Fang, Lin‐Yun Kuang, Tzvi Tzfira, Min‐Huei Chen, Yedidya Gafni, Vitaly Citovsky, Alexander Vainstein, Shachi Vyas and Kan Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and Journal of Molecular Biology.

In The Last Decade

Lan‐Ying Lee

30 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan‐Ying Lee United States 20 1.4k 1.2k 407 92 81 30 1.8k
Romit Chakrabarty United States 12 717 0.5× 1.0k 0.8× 187 0.5× 207 2.3× 90 1.1× 19 1.5k
Taline T. Elmayan France 11 1.4k 1.0× 1.8k 1.4× 293 0.7× 49 0.5× 99 1.2× 14 2.1k
Grantley W. Lycett United Kingdom 21 1.0k 0.7× 1.5k 1.2× 172 0.4× 53 0.6× 39 0.5× 37 1.9k
Cheng‐Guo Duan China 30 1.4k 1.0× 2.6k 2.1× 113 0.3× 79 0.9× 118 1.5× 58 2.9k
Paul Bundock Netherlands 10 990 0.7× 829 0.7× 230 0.6× 34 0.4× 61 0.8× 12 1.3k
Jeremy R. Haag United States 17 2.9k 2.0× 4.1k 3.3× 111 0.3× 148 1.6× 58 0.7× 20 4.8k
Young‐Min Woo South Korea 20 1.1k 0.7× 1.5k 1.2× 114 0.3× 169 1.8× 36 0.4× 26 1.8k
Pilar Carbonero Spain 36 2.3k 1.6× 2.9k 2.3× 504 1.2× 126 1.4× 179 2.2× 64 3.6k
Berne L. Jones United States 28 711 0.5× 1.0k 0.8× 484 1.2× 75 0.8× 101 1.2× 54 1.6k
Oliver Xiaoou Dong China 17 861 0.6× 1.4k 1.1× 116 0.3× 82 0.9× 82 1.0× 29 1.7k

Countries citing papers authored by Lan‐Ying Lee

Since Specialization
Citations

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

Fields of papers citing papers by Lan‐Ying Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan‐Ying Lee. 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 Lan‐Ying Lee. The network helps show where Lan‐Ying Lee may publish in the future.

Co-authorship network of co-authors of Lan‐Ying Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Lan‐Ying Lee. A scholar is included among the top collaborators of Lan‐Ying Lee 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 Lan‐Ying Lee. Lan‐Ying Lee 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.
Lee, Lan‐Ying, et al.. (2022). Characterization of T-Circles and Their Formation Reveal Similarities to Agrobacterium T-DNA Integration Patterns. Frontiers in Plant Science. 13. 849930–849930. 5 indexed citations
2.
Lee, Lan‐Ying, et al.. (2021). Agrobacterium VirE2 Protein Modulates Plant Gene Expression and Mediates Transformation From Its Location Outside the Nucleus. Frontiers in Plant Science. 12. 684192–684192. 9 indexed citations
3.
Nishizawa‐Yokoi, Ayako, Hiroaki Saika, Naho Hara, et al.. (2020). Agrobacterium T‐DNA integration in somatic cells does not require the activity of DNA polymerase θ. New Phytologist. 229(5). 2859–2872. 30 indexed citations
4.
Li, Xiaoyang, et al.. (2020). Agrobacterium-delivered VirE2 interacts with host nucleoporin CG1 to facilitate the nuclear import of VirE2-coated T complex. Proceedings of the National Academy of Sciences. 117(42). 26389–26397. 17 indexed citations
5.
6.
Dokládal, Ladislav, Eva Benková, David Honys, et al.. (2018). An armadillo-domain protein participates in a telomerase interaction network. Plant Molecular Biology. 97(4-5). 407–420. 9 indexed citations
7.
Lee, Lan‐Ying, et al.. (2018). VIP1 and Its Homologs Are Not Required for Agrobacterium-Mediated Transformation, but Play a Role in Botrytis and Salt Stress Responses. Frontiers in Plant Science. 9. 749–749. 23 indexed citations
8.
Lin, Choun‐Sea, Chen‐Tran Hsu, Lan‐Ying Lee, et al.. (2017). Application of protoplast technology to CRISPR/Cas9 mutagenesis: from single‐cell mutation detection to mutant plant regeneration. Plant Biotechnology Journal. 16(7). 1295–1310. 221 indexed citations
9.
Dokládal, Ladislav, David Honys, Rajiv Rana, et al.. (2015). cDNA Library Screening Identifies Protein Interactors Potentially Involved in Non-Telomeric Roles of Arabidopsis Telomerase. Frontiers in Plant Science. 6. 985–985. 6 indexed citations
10.
Lee, Lan‐Ying & Stanton B. Gelvin. (2014). Bimolecular Fluorescence Complementation for Imaging Protein Interactions in Plant Hosts of Microbial Pathogens. Methods in molecular biology. 1197. 185–208. 8 indexed citations
11.
Sardesai, Nagesh, et al.. (2013). Cytokinins Secreted byAgrobacteriumPromote Transformation by Repressing a Plant Myb Transcription Factor. Science Signaling. 6(302). ra100–ra100. 46 indexed citations
12.
Bhattacharjee, Saikat, Lan‐Ying Lee, Hongbin Cao, et al.. (2008). IMPa-4, an Arabidopsis Importin α Isoform, Is Preferentially Involved in Agrobacterium -Mediated Plant Transformation. The Plant Cell. 20(10). 2661–2680. 99 indexed citations
13.
Lee, Lan‐Ying, Mei‐Jane Fang, Lin‐Yun Kuang, & Stanton B. Gelvin. (2008). Vectors for multi-color bimolecular fluorescence complementation to investigate protein-protein interactions in living plant cells. Plant Methods. 4(1). 24–24. 188 indexed citations
14.
Citovsky, Vitaly, Lan‐Ying Lee, Shachi Vyas, et al.. (2006). Subcellular Localization of Interacting Proteins by Bimolecular Fluorescence Complementation in Planta. Journal of Molecular Biology. 362(5). 1120–1131. 320 indexed citations
15.
Lee, Lan‐Ying. (2006). Integration of Genes into the Chromosome of <i>Agrobacterium tumefaciens</i> C58. Humana Press eBooks. 343. 55–66. 3 indexed citations
16.
17.
Lee, Lan‐Ying, Jaime M. Humara, & Stanton B. Gelvin. (2001). Novel Constructions to Enable the Integration of Genes into the Agrobacterium tumefaciens C58 Chromosome. Molecular Plant-Microbe Interactions. 14(4). 577–579. 11 indexed citations
18.
19.
Lee, Lan‐Ying, Stanton B. Gelvin, & Clarence I. Kado. (1999). pSa Causes Oncogenic Suppression of Agrobacterium by Inhibiting VirE2 Protein Export. Journal of Bacteriology. 181(1). 186–196. 29 indexed citations
20.
Kung, Hsiang‐Fu, Lan‐Ying Lee, Menghsiao Meng, et al.. (1988). Controlled fed‐batch fermentation of recombinant Saccharomyces cerevisiae to produce hepatitis B surface antigen. Biotechnology and Bioengineering. 32(3). 334–340. 19 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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