Wantae Kim

1.3k citations
15 papers · 896 indexed · 1 hit paper · h-index 5
Topics
Metal-Catalyzed Oxygenation Mechanisms (4 papers)RNA and protein synthesis mechanisms (4 papers)Microbial Natural Products and Biosynthesis (2 papers)

In The Last Decade

Wantae Kim

13 papers receiving 881 citations

Hit Papers

Machine learning-aided engineering of hydrolases for PET ...20222026202320242022250500750

Peers

Wantae Kim
Comparison fields: 5 of 84
  • Pollution 439
  • Biomaterials 354
  • Molecular Biology 289
  • Industrial and Manufacturing Engineering 221
  • Biomedical Engineering 153
Replace Daniel J. Diaz with:
Daniel J. Diaz United States
Hongyuan Lu United States
Congzhi Zhu United States
Daniel J. Acosta United States
Antonino Biundo Austria
Elizabeth L. Bell United Kingdom
Maike Otto Germany
Yingying Qu China
Harry P. Austin Germany
Susan Billig Germany
Wantae Kim relative to Daniel J. Diaz United States Daniel J. Diaz's profile →
Citations per field
00.5×1.5×
Daniel J. Diaz · 1×
Citations per year

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

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 1
6 3
7 1
8 30
9 3
10 14
11 2
12
Machine learning-aided engineering of hydrolases for PET depolymerizationbreakdown →
767
13 10
14 61
15 1

About Wantae Kim

Wantae Kim is a scholar working on Inorganic Chemistry, Pharmacology and Electrochemistry, having authored 15 papers that have together received 896 indexed citations. Recurring topics across this work include Metal-Catalyzed Oxygenation Mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Pollution (439 citations), Biomaterials (354 citations) and Industrial and Manufacturing Engineering (221 citations). Wantae Kim has collaborated with scholars based in United States, Malaysia and China. Frequent co-authors include Yan Zhang, Andrew D. Ellington, Hal S. Alper, Daniel J. Diaz, Daniel J. Acosta, Hannah Cole, Hongyuan Lu, Congzhi Zhu, Raghav Shroff and Nathaniel A. Lynd. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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