Hua Jin
- Molecular Biology top 2%
- Genetics top 2%
- Cell Biology top 1%
- Plant Science top 5%
- Biomedical Engineering top 5%
- Co-authors
- Jiye CaiJiang PiMaxence V. NachuryJianming LiE. Scott SeeleyFen YangJinhuan JiangZhi Hong
- Topics
- Force Microscopy Techniques and Applications (10 papers)Lipid Membrane Structure and Behavior (10 papers)Autophagy in Disease and Therapy (9 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Hua Jin
124 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 2.7k
- Genetics 996
- Cell Biology 809
- Plant Science 714
- Biomedical Engineering 684
Countries citing papers authored by Hua Jin
This map shows the geographic impact of Hua 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 Hua Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Jin more than expected).
Fields of papers citing papers by Hua Jin
This network shows the impact of papers produced by Hua 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 Hua Jin. The network helps show where Hua Jin may publish in the future.
Co-authorship network of co-authors of Hua Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Jin. A scholar is included among the top collaborators of Hua 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 Hua Jin. Hua 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 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 27 | |
| 10 | Sequential Infusion of Anti-CD22 and Anti-CD19 Chimeric Antigen Receptor T Cells for a Pediatric Ph-Like B-ALL Patient That Relapsed After CART-Cell and Haplo-HSCT Therapy: A Case Report and Review of Literature | 1 |
| 11 | 57 | |
| 12 | Variable Effects Of LDL Subclasses Of Cholesterol On Endothelial Nitric Oxide/Peroxynitrite Balance â The Risks And Clinical Implications For Cardiovascular Disease | 2 |
| 13 | 123 | |
| 14 | 100 | |
| 15 | 1 | |
| 16 | 36 | |
| 17 | Abstract 12089: Human Umbilical Cord Blood Cells Secrete Growth Factors and Cytokines that Inhibit Hypoxic-induced Apoptosis in Human Coronary Artery Endothelial Cells and Cardiac Myocytes by Activation of the Survival Proteins Akt and Bcl-2 | 1 |
| 18 | 392 | |
| 19 | 1 | |
| 20 | 157 |
About Hua Jin
Hua Jin is a scholar working on Molecular Medicine, Biological Psychiatry and Toxicology, having authored 128 papers that have together received 5.2k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (10 papers), Lipid Membrane Structure and Behavior (10 papers) and Autophagy in Disease and Therapy (9 papers). The work is most often cited by research in Cell Biology (809 citations), Molecular Biology (2.7k citations) and Genetics (996 citations). Hua Jin has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jiye Cai, Jiang Pi, Maxence V. Nachury, Jianming Li, E. Scott Seeley, Fen Yang, Jinhuan Jiang, Zhi Hong, Peihui Yang and Huaihong Cai. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.