Johnny Yu
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA modifications and cancer 4
- RNA Research and Splicing 4
- Genomics, phytochemicals, and oxidative stress 1
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Jeremy G. T. Wurtzel (1 shared paper)Mikhail A. Kolpakov (1 shared paper)Lawrence E. Goldfinger (1 shared paper)Muniswamy Madesh (1 shared paper)Leonard C. Edelstein (1 shared paper)Nicholas E. Hoffman (1 shared paper)Marvin T. Nieman (1 shared paper)Dhanendra Tomar (1 shared paper)
- Journals
- Nature Cancer (2 papers)Nature Medicine (1 paper)Journal of Medical Entomology (1 paper)Blood (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Johnny Yu
8 papers receiving 349 citations
Peers
Comparison fields: 5 of 70
- Internal Medicine 24
- Cancer Research 91
- Hematology 51
- Oncology 87
- Biochemistry 23
Countries citing papers authored by Johnny Yu
This map shows the geographic impact of Johnny Yu'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 Johnny Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnny Yu more than expected).
Fields of papers citing papers by Johnny Yu
This network shows the impact of papers produced by Johnny Yu. 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 Johnny Yu. The network helps show where Johnny Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Johnny Yu, 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 | 2017 | 192 | |
| 2 | 2016 | 59 | |
| 3 | 2020 | 40 | |
| 4 | 2018 | 30 | |
| 5 | 2023 | 20 | |
| 6 | 2024 | 6 | |
| 7 | Looking Inside Out: A Sociology of Knowledge and Ignorance of Geekness | 2007 | 5 |
| 8 | 2016 | 1 | |
| 9 | 2019 | 0 | |
| 10 | 2026 | 0 |
About Johnny Yu
Johnny Yu is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Pathology and Forensic Medicine and Sociology and Political Science, having authored 10 papers that have together received 353 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (2 papers), Psychology of Social Influence (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Fatty Acid Research and Health (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Vector-Borne Animal Diseases (1 paper). The work is most often cited by research in Internal Medicine (24 citations), Cancer Research (91 citations), Hematology (51 citations), Oncology (87 citations) and Biochemistry (23 citations). Johnny Yu has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Jeremy G. T. Wurtzel, Mikhail A. Kolpakov, Lawrence E. Goldfinger, Muniswamy Madesh, Leonard C. Edelstein, Nicholas E. Hoffman, Marvin T. Nieman, Dhanendra Tomar, Andrew S. Weyrich and James V. Michael. Their work appears in journals such as Nature Cancer, Nature Medicine, Journal of Medical Entomology, Blood and Arteriosclerosis Thrombosis and Vascular Biology.
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.