Jacob Kim
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Long-Term Effects of COVID-19
Papers in
-
- Fungal and yeast genetics research 2
- Chemical Synthesis and Analysis 2
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- Atrial Fibrillation Management and Outcomes 2
- ECG Monitoring and Analysis 2
- Co-authors
- Daniel Butler (2 shared papers)Christopher E. Mason (2 shared papers)Cem Meydan (2 shared papers)Jonathan Foox (2 shared papers)Sagi Shapira (2 shared papers)Vijendra Ramlall (1 shared paper)Jessica K. De Freitas (1 shared paper)Nicholas P. Tatonetti (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)Journal of Science Teacher Education (1 paper)The Pharmacogenomics Journal (1 paper)iScience (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Jacob Kim
11 papers receiving 461 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 154
- Neurology 53
- Immunology 73
- Obstetrics and Gynecology 17
- Cardiology and Cardiovascular Medicine 49
Countries citing papers authored by Jacob Kim
This map shows the geographic impact of Jacob 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 Jacob Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Kim more than expected).
Fields of papers citing papers by Jacob Kim
This network shows the impact of papers produced by Jacob 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 Jacob Kim. The network helps show where Jacob Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob 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 | 215 | |
| 2 | 2021 | 55 | |
| 3 | 2011 | 54 | |
| 4 | 2021 | 34 | |
| 5 | 2022 | 27 | |
| 6 | 2022 | 25 | |
| 7 | 2020 | 23 | |
| 8 | 2017 | 14 | |
| 9 | 2024 | 12 | |
| 10 | 2021 | 7 | |
| 11 | 2019 | 1 | |
| 12 | 1991 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2026 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2021 | 0 |
About Jacob Kim
Jacob Kim is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Organic Chemistry and Genetics, having authored 16 papers that have together received 468 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (2 papers), Chemical Synthesis and Analysis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), COVID-19 Clinical Research Studies (2 papers), ECG Monitoring and Analysis (2 papers), Cyclopropane Reaction Mechanisms (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Infectious Diseases (154 citations), Neurology (53 citations), Immunology (73 citations), Obstetrics and Gynecology (17 citations) and Cardiology and Cardiovascular Medicine (49 citations). Jacob Kim has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Daniel Butler, Christopher E. Mason, Cem Meydan, Jonathan Foox, Sagi Shapira, Vijendra Ramlall, Jessica K. De Freitas, Nicholas P. Tatonetti, Phyllis Thangaraj and Benjamin S. Glicksberg. Their work appears in journals such as Journal of the American Chemical Society, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Journal of Science Teacher Education, The Pharmacogenomics Journal and iScience.
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.