Wantae Kim

1.3k total citations · 1 hit paper
15 papers, 896 citations indexed

About

Wantae Kim is a scholar working on Molecular Biology, Inorganic Chemistry and Organic Chemistry. According to data from OpenAlex, Wantae Kim has authored 15 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Inorganic Chemistry and 2 papers in Organic Chemistry. Recurrent topics in Wantae Kim's work include Metal-Catalyzed Oxygenation Mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers) and Microbial Natural Products and Biosynthesis (2 papers). Wantae Kim is often cited by papers focused on Metal-Catalyzed Oxygenation Mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers) and Microbial Natural Products and Biosynthesis (2 papers). Wantae Kim collaborates with scholars based in United States, Malaysia and China. Wantae Kim's co-authors include Yan Zhang, Andrew D. Ellington, Hal S. Alper, Daniel J. Acosta, Daniel J. Diaz, Hongyuan Lu, Nathaniel A. Lynd, Hannah Cole, Raghav Shroff and Congzhi Zhu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Wantae Kim

13 papers receiving 881 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning-aided engineering of hydrolases for PET depolymerization

2022 767 citations Hongyuan Lu, Daniel J. Diaz et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wantae Kim United States	5	439	354	289	221	153	15	896
Daniel J. Diaz United States	10	443 1.0×	365 1.0×	431 1.5×	223 1.0×	177 1.2×	13	1.1k
Hongyuan Lu United States	4	439 1.0×	355 1.0×	199 0.7×	223 1.0×	133 0.9×	5	800
Daniel J. Acosta United States	5	450 1.0×	369 1.0×	239 0.8×	228 1.0×	140 0.9×	13	876
Maike Otto Germany	11	464 1.1×	378 1.1×	332 1.1×	335 1.5×	238 1.6×	13	1.2k
Isabel Pardo Spain	14	445 1.0×	372 1.1×	289 1.0×	213 1.0×	269 1.8×	19	1.2k
Elizabeth L. Bell United Kingdom	9	240 0.5×	236 0.7×	489 1.7×	102 0.5×	194 1.3×	10	960
Susan Billig Germany	11	469 1.1×	407 1.1×	183 0.6×	178 0.8×	99 0.6×	21	716
Antonino Biundo Austria	17	347 0.8×	366 1.0×	281 1.0×	144 0.7×	194 1.3×	29	775
Kun Chen China	15	270 0.6×	152 0.4×	79 0.3×	103 0.5×	179 1.2×	41	626
In Jin Cho South Korea	11	960 2.2×	971 2.7×	495 1.7×	346 1.6×	483 3.2×	12	1.6k

Countries citing papers authored by Wantae Kim

Since Specialization

Citations

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

Fields of papers citing papers by Wantae Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wantae Kim

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

All Works

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15 of 15 papers shown

Stappen, Casey Van, et al.. (2025). Beyond Blue: Systematic Modulation of Electronic Structure and Redox Properties of Type 1 Copper in Azurin. Journal of the American Chemical Society. 147(28). 24825–24837.

Chen, Tzu‐Yu, et al.. (2025). Studies of Isonitrile Synthases Help Elucidate the Mechanism of Isonitrile Installation. ACS Catalysis. 15(14). 12005–12013. 2 indexed citations

Stamos, Jennifer L., et al.. (2025). Structural basis for the evolution of a domesticated group II intron–like reverse transcriptase to function in host cell DNA repair. Proceedings of the National Academy of Sciences. 122(31). e2504208122–e2504208122.

Zhang, Hongshan, Chia‐Wei Chou, Kamyab Javanmardi, et al.. (2025). Mechanism of Cas9 inhibition by AcrIIA11. Nucleic Acids Research. 53(8). 1 indexed citations

Kim, Wantae, et al.. (2025). Structural and mechanistic insights into KslB, a bacterial Pictet–Spenglerase in kitasetaline biosynthesis. RSC Chemical Biology. 6(6). 933–941. 1 indexed citations

Kim, Wantae, Runhua Han, J. Fang, et al.. (2024). Selective 8-oxo-rG stalling occurs in the catalytic core of polynucleotide phosphorylase (PNPase) during degradation. Proceedings of the National Academy of Sciences. 121(46). e2317865121–e2317865121. 3 indexed citations

d’Oelsnitz, Simon, Daniel J. Diaz, Wantae Kim, et al.. (2024). Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme. Nature Communications. 15(1). 2084–2084. 30 indexed citations

Zhang, Qian, Wantae Kim, Svetlana Panina, et al.. (2024). Variation of C-terminal domain governs RNA polymerase II genomic locations and alternative splicing in eukaryotic transcription. Nature Communications. 15(1). 7985–7985. 3 indexed citations

Kim, Wantae, Hongyuan Lu, Clayton T. Larue, et al.. (2024). Evolving dual-trait EPSP synthase variants using a synthetic yeast selection system. Proceedings of the National Academy of Sciences. 121(35). e2317027121–e2317027121. 1 indexed citations

10.

Wang, Jingxiang, Avery Vilbert, Chang Cui, et al.. (2023). Increasing Reduction Potentials of Type 1 Copper Center and Catalytic Efficiency of Small Laccase from Streptomyces coelicolor through Secondary Coordination Sphere Mutations. Angewandte Chemie International Edition. 62(52). e202314019–e202314019. 14 indexed citations

11.

Liu, Yiwei, Nicholas Marshall, Sheng‐Song Yu, et al.. (2023). Structural Basis for the Effects of Phenylalanine on Tuning the Reduction Potential of Type 1 Copper in Azurin. Inorganic Chemistry. 62(29). 11618–11625. 2 indexed citations

12.

Lu, Hongyuan, Daniel J. Diaz, Congzhi Zhu, et al.. (2022). Machine learning-aided engineering of hydrolases for PET depolymerization. Nature. 604(7907). 662–667. 767 indexed citations breakdown →

13.

d’Oelsnitz, Simon, Wantae Kim, Kamyab Javanmardi, et al.. (2022). Using fungible biosensors to evolve improved alkaloid biosyntheses. Nature Chemical Biology. 18(9). 981–989. 61 indexed citations

14.

Kim, Wantae, et al.. (2022). Elucidation of divergent desaturation pathways in the formation of vinyl isonitrile and isocyanoacrylate. Nature Communications. 13(1). 5343–5343. 10 indexed citations

15.

Kim, Wantae, et al.. (2021). Advancements in chemical biology targeting the kinases and phosphatases of RNA polymerase II-mediated transcription. Current Opinion in Chemical Biology. 63. 68–77. 1 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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