Jin Wang
- Cancer Research top 0.5%
- MicroRNA in disease regulation 36
- Cancer-related molecular mechanisms research 36
- Molecular Biology top 1%
- Circular RNAs in diseases 30
- RNA modifications and cancer 22
- Cancer-related gene regulation 12
- Epidemiology top 1%
- Liver Disease Diagnosis and Treatment 19
- Oncology top 2%
- Emergency Medicine top 2%
- Cardiac Arrest and Resuscitation 12
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- COVID-19 epidemiological studies 19
- Co-authors
- Subrata SenChristopher HugHarvey F. LodishJonathan S. BoganTsu‐Shuen TsaoFrederick P. RivaraZuojia LiuXunzhe Yin
- Journals
- Journal of Translational Medicine (6 papers)Scientific Reports (6 papers)Journal of Clinical Oncology (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Wang
323 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Cancer Research 2.9k
- Molecular Biology 4.3k
- Epidemiology 2.2k
- Oncology 1.6k
- Emergency Medicine 358
Countries citing papers authored by Jin Wang
This map shows the geographic impact of Jin Wang'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 Jin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Wang more than expected).
Fields of papers citing papers by Jin Wang
This network shows the impact of papers produced by Jin Wang. 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 Jin Wang. The network helps show where Jin Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Wang, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 118 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 70 | |
| 16 | 2020 | 1 | |
| 17 | 2018 | 32 | |
| 18 | 2015 | 76 | |
| 19 | MicroRNA as Biomarkers and Diagnosticsbreakdown → | 2015 | 601 |
| 20 | 2005 | 18 |
About Jin Wang
Jin Wang is a scholar working on Cancer Research, Modeling and Simulation, Oncology, Epidemiology and Emergency Medicine, having authored 342 papers that have together received 9.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (36 papers), Cancer-related molecular mechanisms research (36 papers), Circular RNAs in diseases (30 papers), RNA modifications and cancer (22 papers), Liver Disease Diagnosis and Treatment (19 papers), COVID-19 epidemiological studies (19 papers), Cancer-related gene regulation (12 papers) and Cardiac Arrest and Resuscitation (12 papers). The work is most often cited by research in Cancer Research (2.9k citations), Molecular Biology (4.3k citations), Epidemiology (2.2k citations), Oncology (1.6k citations) and Emergency Medicine (358 citations). Jin Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Subrata Sen, Christopher Hug, Harvey F. Lodish, Jonathan S. Bogan, Tsu‐Shuen Tsao, Frederick P. Rivara, Zuojia Liu, Xunzhe Yin, Jinyun Chen and Xiangyu Guo. Their work appears in journals such as Journal of Translational Medicine, Scientific Reports, Journal of Clinical Oncology, Mathematical Biosciences & Engineering and Frontiers in Oncology.
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.