Danielle Kim
Impact in
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- Tryptophan and brain disorders
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- Microbial Applications in Construction Materials
Papers in
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- Autism Spectrum Disorder Research 4
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- Microbial Applications in Construction Materials 3
- Co-authors
- Woojun Park (3 shared papers)Yun Suk Lee (2 shared papers)R. David Andrew (2 shared papers)Christine Brisson (1 shared paper)Yi‐Ting Hsieh (1 shared paper)Judy Van de Water (3 shared papers)Albert Jin (1 shared paper)Bora Shin (1 shared paper)
- Journals
- Brain Behavior and Immunity (4 papers)PLoS ONE (1 paper)Frontiers in Psychiatry (1 paper)Applied Microbiology and Biotechnology (1 paper)Journal of Vascular Surgery (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Danielle Kim
12 papers receiving 274 citations
Peers
Comparison fields: 5 of 79
- Biological Psychiatry 28
- Environmental Engineering 62
- Cognitive Neuroscience 43
- Behavioral Neuroscience 7
- Neurology 16
Countries citing papers authored by Danielle Kim
This map shows the geographic impact of Danielle 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 Danielle Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Kim more than expected).
Fields of papers citing papers by Danielle Kim
This network shows the impact of papers produced by Danielle 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 Danielle Kim. The network helps show where Danielle Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle 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 | 2020 | 90 | |
| 2 | 2014 | 48 | |
| 3 | 2017 | 47 | |
| 4 | 2017 | 35 | |
| 5 | 2021 | 23 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2023 | 0 | |
| 14 | 2021 | 0 |
About Danielle Kim
Danielle Kim is a scholar working on Cognitive Neuroscience, Environmental Engineering, Genetics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 280 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (4 papers), Microbial Applications in Construction Materials (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers), COVID-19 Impact on Reproduction (2 papers), Calcium Carbonate Crystallization and Inhibition (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Pain Management and Treatment (1 paper). The work is most often cited by research in Biological Psychiatry (28 citations), Environmental Engineering (62 citations), Cognitive Neuroscience (43 citations), Behavioral Neuroscience (7 citations) and Neurology (16 citations). Danielle Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Woojun Park, Yun Suk Lee, R. David Andrew, Christine Brisson, Yi‐Ting Hsieh, Judy Van de Water, Albert Jin, Bora Shin, Trina A. Knotts and Mariana Barboza. Their work appears in journals such as Brain Behavior and Immunity, PLoS ONE, Frontiers in Psychiatry, Applied Microbiology and Biotechnology and Journal of Vascular Surgery.
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.