Mike Jin
Impact in
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- Ultrasound in Clinical Applications
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- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- RNA Research and Splicing
Papers in
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- Single-cell and spatial transcriptomics 1
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- Ultrasound in Clinical Applications 2
- Co-authors
- Nicolas Garreau de Loubresse (1 shared paper)Jongmin Kim (1 shared paper)Peng Yin (1 shared paper)Daniel G. MacArthur (1 shared paper)Jeremy Liu (1 shared paper)Patrick D. McGillivray (1 shared paper)Mark Gerstein (1 shared paper)Yao Fu (1 shared paper)
- Journals
- The Journal of the American Dental Association (1 paper)Nature Communications (1 paper)Journal of Medical Internet Research (1 paper)ACS Synthetic Biology (1 paper)American Journal of Perinatology (1 paper)
- Partner nations
- United StatesItalyNorway
In The Last Decade
Mike Jin
7 papers receiving 86 citations
Peers
Comparison fields: 5 of 27
- Critical Care and Intensive Care Medicine 9
- Molecular Biology 53
- Genetics 21
- Health Informatics 1
- Aging 1
Countries citing papers authored by Mike Jin
This map shows the geographic impact of Mike Jin'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 Mike Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Jin more than expected).
Fields of papers citing papers by Mike Jin
This network shows the impact of papers produced by Mike Jin. 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 Mike Jin. The network helps show where Mike Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mike Jin, 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 | 2019 | 37 | |
| 2 | 2017 | 28 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2007 | 1 |
About Mike Jin
Mike Jin is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine, Oncology, Genetics and Periodontics, having authored 8 papers that have together received 88 indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (2 papers), Cancer-related Molecular Pathways (1 paper), Genomics and Rare Diseases (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), AI in cancer detection (1 paper), Single-cell and spatial transcriptomics (1 paper), Animal Genetics and Reproduction (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (9 citations), Molecular Biology (53 citations), Genetics (21 citations), Health Informatics (1 citation) and Aging (1 citation). Mike Jin has collaborated with scholars based in United States, Italy and Norway. Frequent co-authors include Nicolas Garreau de Loubresse, Jongmin Kim, Peng Yin, Daniel G. MacArthur, Jeremy Liu, Patrick D. McGillivray, Mark Gerstein, Yao Fu, Konrad J. Karczewski and Suganthi Balasubramanian. Their work appears in journals such as The Journal of the American Dental Association, Nature Communications, Journal of Medical Internet Research, ACS Synthetic Biology and American Journal of Perinatology.
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.