Mi Kyong Lee

676 total citations
7 papers, 532 citations indexed

About

Mi Kyong Lee is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Mi Kyong Lee has authored 7 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Insect Science and 3 papers in Plant Science. Recurrent topics in Mi Kyong Lee's work include Insect Resistance and Genetics (6 papers), Insect and Pesticide Research (5 papers) and Entomopathogenic Microorganisms in Pest Control (2 papers). Mi Kyong Lee is often cited by papers focused on Insect Resistance and Genetics (6 papers), Insect and Pesticide Research (5 papers) and Entomopathogenic Microorganisms in Pest Control (2 papers). Mi Kyong Lee collaborates with scholars based in United States and China. Mi Kyong Lee's co-authors include Donald H. Dean, Algimantas P. Valaitis, Francis Rajamohan, Paul C. Miles, Jeremy L. Jenkins, April Curtiss, Fred Gould and Karen J. Garner and has published in prestigious journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Mi Kyong Lee

7 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi Kyong Lee United States 7 527 439 188 29 19 7 532
R.E. Milne Canada 14 617 1.2× 533 1.2× 251 1.3× 8 0.3× 13 0.7× 18 635
Sumiko Gomi Japan 8 564 1.1× 263 0.6× 52 0.3× 6 0.2× 35 1.8× 12 596
Narendra Palekar United States 6 541 1.0× 451 1.0× 175 0.9× 3 0.1× 20 1.1× 6 557
Rod Mahon Australia 8 554 1.1× 448 1.0× 364 1.9× 10 0.3× 4 0.2× 8 599
Junlei Zhou China 6 292 0.6× 204 0.5× 122 0.6× 8 0.3× 16 0.8× 11 327
Luisa Elena Fernández Mexico 8 615 1.2× 523 1.2× 255 1.4× 4 0.1× 13 0.7× 11 637
Alexander Michael Migdoll Germany 6 87 0.2× 106 0.2× 329 1.8× 27 0.9× 24 1.3× 6 423
Maissa Chakroun Spain 14 794 1.5× 684 1.6× 315 1.7× 7 0.2× 12 0.6× 18 813
Donovan E. Johnson United States 10 498 0.9× 435 1.0× 242 1.3× 2 0.1× 14 0.7× 15 518
Zhizheng Wang China 7 178 0.3× 188 0.4× 252 1.3× 7 0.2× 10 0.5× 10 395

Countries citing papers authored by Mi Kyong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mi Kyong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Kyong 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 Mi Kyong Lee. The network helps show where Mi Kyong Lee may publish in the future.

Co-authorship network of co-authors of Mi Kyong Lee

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

All Works

7 of 7 papers shown
1.
Lee, Mi Kyong, et al.. (2005). Brush border membrane binding properties of Bacillus thuringiensis Vip3A toxin to Heliothis virescens and Helicoverpa zea midguts. Biochemical and Biophysical Research Communications. 339(4). 1043–1047. 118 indexed citations
2.
Valaitis, Algimantas P., Jeremy L. Jenkins, Mi Kyong Lee, Donald H. Dean, & Karen J. Garner. (2001). Isolation and partial characterization of gypsy moth BTR‐270, an anionic brush border membrane glycoconjugate that binds Bacillus thuringiensis Cry1A toxins with high affinity. Archives of Insect Biochemistry and Physiology. 46(4). 186–200. 56 indexed citations
3.
Jenkins, Jeremy L., Mi Kyong Lee, Algimantas P. Valaitis, April Curtiss, & Donald H. Dean. (2000). Bivalent Sequential Binding Model of a Bacillus thuringiensis Toxin to Gypsy Moth Aminopeptidase N Receptor. Journal of Biological Chemistry. 275(19). 14423–14431. 110 indexed citations
4.
Lee, Mi Kyong, et al.. (1999). Identification of Residues in Domain III of Bacillus thuringiensis Cry1Ac Toxin That Affect Binding and Toxicity. Applied and Environmental Microbiology. 65(10). 4513–4520. 61 indexed citations
5.
Rajamohan, Francis, Mi Kyong Lee, & Donald H. Dean. (1998). Bacillus thuringiensis Insecticidal Proteins: Molecular Mode of Action. Progress in nucleic acid research and molecular biology. 60. 1–27. 67 indexed citations
6.
Lee, Mi Kyong, et al.. (1996). Involvement of Two Amino Acid Residues in the Loop Region ofBacillus thuringiensisCry1Ab Toxin in Toxicity and Binding toLymantria dispar. Biochemical and Biophysical Research Communications. 229(1). 139–146. 18 indexed citations
7.
Valaitis, Algimantas P., Mi Kyong Lee, Francis Rajamohan, & Donald H. Dean. (1995). Brush border membrane aminopeptidase-n in the midgut of the gypsy moth serves as the receptor for the CryIA(c) δ-endotoxin of Bacillus thuringiensis. Insect Biochemistry and Molecular Biology. 25(10). 1143–1151. 102 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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