Hong Jin
- Molecular Biology
- Surgery top 10%
- Pharmacology top 5%
- Cancer Research top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Juan ShanYan XuPhilip S. TsaoJunya AzumaLars MäegdefesselRamendra K. KunduThomas QuertermousPatrick Yue
- Topics
- MicroRNA in disease regulation (13 papers)Cancer-related molecular mechanisms research (11 papers)Atherosclerosis and Cardiovascular Diseases (7 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Hong Jin
68 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 557
- Surgery 432
- Pharmacology 339
- Cancer Research 306
- Cardiology and Cardiovascular Medicine 288
Countries citing papers authored by Hong Jin
This map shows the geographic impact of Hong 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 Hong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Jin more than expected).
Fields of papers citing papers by Hong Jin
This network shows the impact of papers produced by Hong 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 Hong Jin. The network helps show where Hong Jin may publish in the future.
Co-authorship network of co-authors of Hong Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Jin. A scholar is included among the top collaborators of Hong Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hong Jin. Hong Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | LncSNHG3/miR-139-5p/BMI1 axis regulates proliferation, migration, and invasion in hepatocellular carcinoma | 1 |
| 6 | 23 | |
| 7 | 20 | |
| 8 | 23 | |
| 9 | 41 | |
| 10 | Abstract 15313: Long Non-Coding RNA MIAT Regulates Smooth Muscle Cell Plasticity and Macrophage Activity in Advanced Atherosclerosis Lesions | 1 |
| 11 | MiR-144 suppresses cell proliferation, migration, and invasion in hepatocellular carcinoma by targeting SMAD4 | 9 |
| 12 | MiR-502-3P suppresses cell proliferation, migration, and invasion in hepatocellular carcinoma by targeting SET | 2 |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 187 | |
| 16 | 53 | |
| 17 | 20 | |
| 18 | 12 | |
| 19 | 10 | |
| 20 | 7 |
About Hong Jin
Hong Jin is a scholar working on Cancer Research, Immunology and Endocrine and Autonomic Systems, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (11 papers) and Atherosclerosis and Cardiovascular Diseases (7 papers). The work is most often cited by research in Cancer Research (306 citations), Pharmacology (339 citations) and Immunology (286 citations). Hong Jin has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Juan Shan, Yan Xu, Philip S. Tsao, Junya Azuma, Lars Mäegdefessel, Ramendra K. Kundu, Thomas Quertermous, Patrick Yue, Alicia Deng and Gerald M. Reaven. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.
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.