Loleta Chung

1.5k total citations
8 papers, 1.1k citations indexed

About

Loleta Chung is a scholar working on Pharmacology, Molecular Biology and Oncology. According to data from OpenAlex, Loleta Chung has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Loleta Chung's work include Microbial Natural Products and Biosynthesis (6 papers), Cancer Treatment and Pharmacology (3 papers) and Synthetic Organic Chemistry Methods (2 papers). Loleta Chung is often cited by papers focused on Microbial Natural Products and Biosynthesis (6 papers), Cancer Treatment and Pharmacology (3 papers) and Synthetic Organic Chemistry Methods (2 papers). Loleta Chung collaborates with scholars based in United States, Netherlands and South Korea. Loleta Chung's co-authors include Leonard Katz, John R. Carney, Christopher D. Reeves, Li Tang, W. Peter Revill, Sanjay Shah, Chaitan Khosla, Bryan Julien, Kai Wu and John H. Grate and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Loleta Chung

8 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Loleta Chung United States	8	831	575	189	168	121	8	1.1k
Douglas A. Hansen United States	17	792 1.0×	711 1.2×	307 1.6×	223 1.3×	87 0.7×	21	1.2k
Verónica González United Kingdom	21	1.2k 1.4×	384 0.7×	108 0.6×	125 0.7×	20 0.2×	33	1.4k
Jeremy R. Lohman United States	19	807 1.0×	521 0.9×	218 1.2×	165 1.0×	24 0.2×	47	1.1k
Joachim Ahlert United States	10	701 0.8×	641 1.1×	374 2.0×	187 1.1×	17 0.1×	10	1.0k
Thomas A. Knappe Germany	14	950 1.1×	623 1.1×	96 0.5×	114 0.7×	15 0.1×	17	1.2k
Manuela Tosin United Kingdom	23	831 1.0×	616 1.1×	571 3.0×	176 1.0×	23 0.2×	49	1.1k
Stefan A. Samel Germany	9	822 1.0×	506 0.9×	92 0.5×	112 0.7×	11 0.1×	9	959
Timothy L. Foley United States	17	591 0.7×	181 0.3×	233 1.2×	43 0.3×	28 0.2×	27	807
M. Fujihashi Japan	19	755 0.9×	185 0.3×	97 0.5×	105 0.6×	27 0.2×	42	937
Refaat B. Hamed United Kingdom	16	587 0.7×	199 0.3×	230 1.2×	83 0.5×	35 0.3×	27	869

Countries citing papers authored by Loleta Chung

Since Specialization

Citations

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

Fields of papers citing papers by Loleta Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loleta Chung

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

All Works

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8 of 8 papers shown

Fox, Richard J., Emily C. Mundorff, Lisa M. Newman, et al.. (2007). Improving catalytic function by ProSAR-driven enzyme evolution. Nature Biotechnology. 25(3). 338–344. 376 indexed citations

Tang, Li, Loleta Chung, John R. Carney, et al.. (2005). Generation of New Epothilones by Genetic Engineering of a Polyketide Synthase in Myxococcus xanthus. The Journal of Antibiotics. 58(3). 178–184. 26 indexed citations

Tang, Li, Shannon L. Ward, Loleta Chung, et al.. (2003). Elucidating the Mechanism of cis Double Bond Formation in Epothilone Biosynthesis. Journal of the American Chemical Society. 126(1). 46–47. 63 indexed citations

Revill, W. Peter, Jan Voda, Loleta Chung, et al.. (2002). Genetically Engineered Analogs of Ascomycin for Nerve Regeneration. Journal of Pharmacology and Experimental Therapeutics. 302(3). 1278–1285. 41 indexed citations

Reeves, Christopher D., Loleta Chung, Yaoquan Liu, et al.. (2002). A New Substrate Specificity for Acyl Transferase Domains of the Ascomycin Polyketide Synthase in Streptomyces hygroscopicus. Journal of Biological Chemistry. 277(11). 9155–9159. 35 indexed citations

Chung, Loleta, Lu Liu, Sejal Patel, John R. Carney, & Christopher D. Reeves. (2001). Deletion of rapQONML from the Rapamycin Gene Cluster of Streptomyces hygroscopicus Gives Production of the 16-O-Desmethyl-27-desmethoxy Analog.. The Journal of Antibiotics. 54(3). 250–256. 20 indexed citations

Wu, Kai, Loleta Chung, W. Peter Revill, Leonard Katz, & Christopher D. Reeves. (2000). The FK520 gene cluster of Streptomyces hygroscopicus var. ascomyceticus (ATCC 14891) contains genes for biosynthesis of unusual polyketide extender units. Gene. 251(1). 81–90. 220 indexed citations

Tang, Li, Sanjay Shah, Loleta Chung, et al.. (2000). Cloning and Heterologous Expression of the Epothilone Gene Cluster. Science. 287(5453). 640–642. 335 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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