Yeonjoon Kim

1.9k total citations · 1 hit paper
60 papers, 1.4k citations indexed

About

Yeonjoon Kim is a scholar working on Organic Chemistry, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Yeonjoon Kim has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Organic Chemistry, 19 papers in Materials Chemistry and 14 papers in Biomedical Engineering. Recurrent topics in Yeonjoon Kim's work include Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (9 papers) and Catalysis and Oxidation Reactions (5 papers). Yeonjoon Kim is often cited by papers focused on Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (9 papers) and Catalysis and Oxidation Reactions (5 papers). Yeonjoon Kim collaborates with scholars based in South Korea, United States and United Kingdom. Yeonjoon Kim's co-authors include Seonah Kim, Woo Youn Kim, Peter C. St. John, Robert S. Paton, Yanfei Guan, Kyung‐Min Lim, Jin Woo Kim, Brian D. Etz, Hee‐Yoon Lee and Sunghwan Choi and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yeonjoon Kim

58 papers receiving 1.4k citations

Hit Papers

Prediction of organic homolytic bond dissociation enthalp... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Yeonjoon Kim
Comparison fields: 5 of 139
  • Materials Chemistry 532
  • Biomedical Engineering 287
  • Organic Chemistry 285
  • Computational Theory and Mathematics 223
  • Molecular Biology 210
Replace Ben M. Alston with:
Ben M. Alston United Kingdom
Debra J. Audus United States
Loı̈c M. Roch Switzerland
Matthew T. Stone United States
Nastaran Meftahi Australia
Tristan Bereau Germany
Aditya Nandy United States
Yang Yu China
Mine Yurtsever Türkiye
Jiyong Park South Korea
Ben M. Alston United Kingdom View profile →
Citations per field, relative to Yeonjoon Kim
Yeonjoon Kim · 1×
Citations per year, relative to Yeonjoon Kim
Yeonjoon Kim · 1×

Countries citing papers authored by Yeonjoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yeonjoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeonjoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yeonjoon Kim. A scholar is included among the top collaborators of Yeonjoon 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 Yeonjoon Kim. Yeonjoon Kim 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
# Work Indexed citations
1 2
2 2
3 1
4 1
5 3
6 2
7 2
8 10
9 13
10 31
11 10
12 25
13 14
14 23
15 31
16
Prediction of organic homolytic bond dissociation enthalpies at near chemical accuracy with sub-second computational cost breakdown →
238
17 22
18 30
19 4
20 4

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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2026