Juyong Brian Kim
- Molecular Biology top 2%
- Hedgehog Signaling Pathway Studies 10
- RNA modifications and cancer 7
- Pollution top 2%
- Heavy metals in environment 8
- Oncology top 5%
- Hematology top 5%
- Environmental Chemistry top 2%
- Mine drainage and remediation techniques 7
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- Cardiac Valve Diseases and Treatments 10
- Cardiovascular Function and Risk Factors 6
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- Air Quality and Health Impacts 8
- Climate Change and Health Impacts 6
- Co-authors
- Philip A. BeachyKyoung‐Woong KimJames KimMasaki KatoDale R. GardnerJohn J. LeeTannishtha ReyaMark Fereshteh
- Cited by
- Molecular BiologyPollutionOncology
- Journals
- Circulation (4 papers)Circulation Research (3 papers)Journal of the American Heart Association (3 papers)
- Partner nations
- United StatesSouth KoreaSweden
In The Last Decade
Juyong Brian Kim
85 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 2.7k
- Pollution 428
- Oncology 882
- Hematology 351
- Environmental Chemistry 302
Countries citing papers authored by Juyong Brian Kim
This map shows the geographic impact of Juyong Brian 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 Juyong Brian Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juyong Brian Kim more than expected).
Fields of papers citing papers by Juyong Brian Kim
This network shows the impact of papers produced by Juyong Brian 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 Juyong Brian Kim. The network helps show where Juyong Brian Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juyong Brian 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 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 4 | |
| 9 | 2020 | 63 | |
| 10 | 2020 | 35 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 4 | |
| 14 | SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization. | 2017 | 31 |
| 15 | 2017 | 8 | |
| 16 | 2016 | 83 | |
| 17 | 2016 | 75 | |
| 18 | 2012 | 39 | |
| 19 | Study on Adsorption Features of Arsenic onto Lepidocrocite | 2009 | 2 |
| 20 | 2000 | 62 |
About Juyong Brian Kim
Juyong Brian Kim is a scholar working on Geochemistry and Petrology, Environmental Chemistry and Pollution, having authored 90 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (10 papers), Hedgehog Signaling Pathway Studies (10 papers), Air Quality and Health Impacts (8 papers), Heavy metals in environment (8 papers), RNA modifications and cancer (7 papers), Mine drainage and remediation techniques (7 papers), Climate Change and Health Impacts (6 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Pollution (428 citations) and Oncology (882 citations). Juyong Brian Kim has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Philip A. Beachy, Kyoung‐Woong Kim, James Kim, Masaki Kato, Dale R. Gardner, John J. Lee, Tannishtha Reya, Mark Fereshteh, Hyo‐Taek Chon and Ricardo A. Feldman. Their work appears in journals such as Circulation, Circulation Research, Journal of the American Heart Association, Proceedings of the National Academy of Sciences and PLoS Genetics.
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.