Daniel K. Kim
Impact in
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- Carbon dioxide utilization in catalysis
- Inorganic Chemistry top 5%
- Asymmetric Hydrogenation and Catalysis
Papers in
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- Fluorine in Organic Chemistry 4
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- Radical Photochemical Reactions 5
- Catalytic C–H Functionalization Methods 4
- Organometallic Complex Synthesis and Catalysis 2
- Co-authors
- Vy M. Dong (3 shared papers)Qing-An Chen (1 shared paper)Timothy W. Funk (2 shared papers)Taylor N. Plank (1 shared paper)David W. C. MacMillan (1 shared paper)Richard Y.‐C. Huang (1 shared paper)Gregory D. Scholes (1 shared paper)Jennifer Xiaoxin Qiao (1 shared paper)
- Journals
- Journal of the American Chemical Society (3 papers)Organic Letters (2 papers)Advanced Synthesis & Catalysis (2 papers)ChemCatChem (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- United StatesArmeniaMacao
In The Last Decade
Daniel K. Kim
16 papers receiving 602 citations
Peers
Comparison fields: 5 of 47
- Process Chemistry and Technology 82
- Inorganic Chemistry 306
- Organic Chemistry 514
- Pharmaceutical Science 62
- Ophthalmology 35
Countries citing papers authored by Daniel K. Kim
This map shows the geographic impact of Daniel K. 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 Daniel K. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel K. Kim more than expected).
Fields of papers citing papers by Daniel K. Kim
This network shows the impact of papers produced by Daniel K. 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 Daniel K. Kim. The network helps show where Daniel K. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel K. Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 164 | |
| 2 | 2021 | 143 | |
| 3 | 2017 | 91 | |
| 4 | 2012 | 84 | |
| 5 | 2015 | 54 | |
| 6 | 1997 | 39 | |
| 7 | 2018 | 38 | |
| 8 | 2023 | 33 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2025 | 3 | |
| 12 | 2026 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2026 | 1 | |
| 16 | 2025 | 1 |
About Daniel K. Kim
Daniel K. Kim is a scholar working on Pharmaceutical Science, Organic Chemistry, Inorganic Chemistry, Process Chemistry and Technology and Ophthalmology, having authored 16 papers that have together received 671 indexed citations. Recurring topics across this work include Radical Photochemical Reactions (5 papers), Asymmetric Hydrogenation and Catalysis (5 papers), Catalytic C–H Functionalization Methods (4 papers), Fluorine in Organic Chemistry (4 papers), Chemical Synthesis and Analysis (2 papers), Carbon dioxide utilization in catalysis (2 papers), Organometallic Complex Synthesis and Catalysis (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Process Chemistry and Technology (82 citations), Inorganic Chemistry (306 citations), Organic Chemistry (514 citations), Pharmaceutical Science (62 citations) and Ophthalmology (35 citations). Daniel K. Kim has collaborated with scholars based in United States, Armenia and Macao. Frequent co-authors include Vy M. Dong, Qing-An Chen, Timothy W. Funk, Taylor N. Plank, David W. C. MacMillan, Richard Y.‐C. Huang, Gregory D. Scholes, Jennifer Xiaoxin Qiao, William R. Ewing and Steven H. Bloom. Their work appears in journals such as Journal of the American Chemical Society, Organic Letters, Advanced Synthesis & Catalysis, ChemCatChem and International Journal of Biological Sciences.
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.