Erh‐Min Lai

4.2k total citations
74 papers, 3.1k citations indexed

About

Erh‐Min Lai is a scholar working on Molecular Biology, Plant Science and Endocrinology. According to data from OpenAlex, Erh‐Min Lai has authored 74 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 42 papers in Plant Science and 27 papers in Endocrinology. Recurrent topics in Erh‐Min Lai's work include Vibrio bacteria research studies (26 papers), Plant tissue culture and regeneration (21 papers) and Plant Pathogenic Bacteria Studies (17 papers). Erh‐Min Lai is often cited by papers focused on Vibrio bacteria research studies (26 papers), Plant tissue culture and regeneration (21 papers) and Plant Pathogenic Bacteria Studies (17 papers). Erh‐Min Lai collaborates with scholars based in Taiwan, United States and Germany. Erh‐Min Lai's co-authors include Jer-Sheng Lin, Clarence I. Kado, Lay-Sun Ma, Manda Yu, Hau‐Hsuan Hwang, Alain Filloux, Hung‐Yi Wu, Abderrahman Hachani, Franz Narberhaus and Chih‐Horng Kuo 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

Erh‐Min Lai

71 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erh‐Min Lai Taiwan 28 1.7k 1.3k 1.1k 636 421 74 3.1k
Jean-Pierre Hernálsteens Belgium 35 2.6k 1.6× 1.9k 1.5× 453 0.4× 255 0.4× 154 0.4× 80 3.6k
Teruya Komano Japan 31 1.5k 0.9× 550 0.4× 581 0.5× 1.1k 1.8× 558 1.3× 84 2.5k
Chinnappa D. Kodira United States 12 1.2k 0.7× 664 0.5× 179 0.2× 328 0.5× 217 0.5× 18 2.1k
He Gao China 27 1.1k 0.6× 1.2k 0.9× 553 0.5× 1.2k 1.9× 125 0.3× 83 2.6k
Carmen R. Beuzón Spain 30 815 0.5× 1.1k 0.9× 1.3k 1.2× 539 0.8× 144 0.3× 67 3.3k
Ryutaro Utsumi Japan 37 2.6k 1.5× 338 0.3× 596 0.6× 1.7k 2.7× 570 1.4× 116 4.0k
Nicholas R. Waterfield United Kingdom 34 1.6k 1.0× 621 0.5× 415 0.4× 496 0.8× 202 0.5× 68 3.3k
Haim Weinhouse Israel 15 1.3k 0.7× 491 0.4× 351 0.3× 541 0.9× 217 0.5× 17 2.1k
Gwennaële Fichant France 21 1.4k 0.8× 238 0.2× 536 0.5× 726 1.1× 472 1.1× 41 2.5k
Guy Condemine France 29 873 0.5× 1.5k 1.2× 247 0.2× 504 0.8× 104 0.2× 61 2.5k

Countries citing papers authored by Erh‐Min Lai

Since Specialization
Citations

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

Fields of papers citing papers by Erh‐Min Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erh‐Min Lai. 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 Erh‐Min Lai. The network helps show where Erh‐Min Lai may publish in the future.

Co-authorship network of co-authors of Erh‐Min Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Erh‐Min Lai. A scholar is included among the top collaborators of Erh‐Min Lai 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 Erh‐Min Lai. Erh‐Min Lai 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.
Huang, Ying, Yu‐Jen Wu, Hao‐Xun Chang, et al.. (2025). Rhizobium rhizogenes A4 ‐derived strains mediate hyper‐efficient transient gene expression in Nicotiana benthamiana and other solanaceous plants. Plant Biotechnology Journal. 24(1). 131–144. 2 indexed citations
2.
Lin, Jer-Sheng, et al.. (2023). Protein–Protein Interactions: Co-immunoprecipitation. Methods in molecular biology. 2715. 273–283. 8 indexed citations
3.
Lin, Jer-Sheng & Erh‐Min Lai. (2023). Protein–Protein Interactions: Yeast Two Hybrid. Methods in molecular biology. 2715. 235–246. 6 indexed citations
4.
Lin, Yu-Chen, Shu‐Ting Cho, Alexandra J. Weisberg, et al.. (2022). Modular evolution of secretion systems and virulence plasmids in a bacterial species complex. BMC Biology. 20(1). 16–16. 19 indexed citations
6.
Wettstadt, Sarah, Erh‐Min Lai, & Alain Filloux. (2020). Solving the Puzzle: Connecting a Heterologous Agrobacterium tumefaciens T6SS Effector to a Pseudomonas aeruginosa Spike Complex. Frontiers in Cellular and Infection Microbiology. 10. 291–291. 8 indexed citations
7.
McCarthy, Ronan R., et al.. (2019). Cyclic di‐GMP inactivates T6SS and T4SS activity in Agrobacterium tumefaciens. Molecular Microbiology. 112(2). 632–648. 15 indexed citations
8.
Wu, Chih‐Feng, et al.. (2018). The Agrobacterium Type VI Secretion System: A Contractile Nanomachine for Interbacterial Competition. Current topics in microbiology and immunology. 418. 215–231. 13 indexed citations
9.
Lin, Jer-Sheng, et al.. (2016). VgrG C terminus confers the type VI effector transport specificity and is required for binding with PAAR and adaptor–effector complex. Proceedings of the National Academy of Sciences. 113(27). E3931–40. 129 indexed citations
10.
11.
Ma, Lay-Sun, Abderrahman Hachani, Jer-Sheng Lin, Alain Filloux, & Erh‐Min Lai. (2014). Agrobacterium tumefaciens Deploys a Superfamily of Type VI Secretion DNase Effectors as Weapons for Interbacterial Competition In Planta. Cell Host & Microbe. 16(1). 94–104. 256 indexed citations
12.
Tsai, Yun‐Long, Yin‐Ru Chiang, Chih‐Feng Wu, Franz Narberhaus, & Erh‐Min Lai. (2012). One out of Four: HspL but No Other Small Heat Shock Protein of Agrobacterium tumefaciens Acts as Efficient Virulence-Promoting VirB8 Chaperone. PLoS ONE. 7(11). e49685–e49685. 16 indexed citations
13.
Hacker, Stephanie, Yun‐Long Tsai, Julia E. Bandow, et al.. (2010). Proteomic and transcriptomic characterization of a virulence-deficient phosphatidylcholine-negative Agrobacterium tumefaciens mutant. Molecular Genetics and Genomics. 283(6). 575–589. 28 indexed citations
15.
Wu, Hung‐Yi, et al.. (2008). Secretome Analysis Uncovers an Hcp-Family Protein Secreted via a Type VI Secretion System in Agrobacterium tumefaciens. Journal of Bacteriology. 190(8). 2841–2850. 124 indexed citations
16.
Lin, Choun‐Sea, Jau‐Song Yu, Chao‐Hsiung Lin, et al.. (2008). Differential Protein Expression of Two Photosystem II Subunits, PsbO and PsbP, in an Albino Mutant of Bambusa edulis with Chloroplast DNA Aberration. Journal of the American Society for Horticultural Science. 133(2). 270–277. 11 indexed citations
17.
Hsu, Te‐Hua, et al.. (2008). A citrate-inducible gene, encoding a putative tricarboxylate transporter, is downregulated by the organic solvent DMSO inAgrobacterium tumefaciens. Journal of Applied Microbiology. 105(5). 1372–1383. 14 indexed citations
18.
Lai, Erh‐Min, et al.. (2006). Proteomic analysis of Agrobacterium tumefaciens response to the vir gene inducer acetosyringone. PROTEOMICS. 6(14). 4130–4136. 43 indexed citations
19.
Lai, Erh‐Min, et al.. (2002). Identification of a chromosomal tra-like region in Agrobacterium tumefaciens. Molecular Genetics and Genomics. 267(1). 115–123. 7 indexed citations
20.
To, Kin‐Ying, Erh‐Min Lai, T. P. Lin, et al.. (1994). Analysis of the gene cluster encoding carotenoid biosynthesis in Erwinia herbicola Eho13. Microbiology. 140(2). 331–339. 38 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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