Jin Zhu
- Psychiatry and Mental health top 2%
- Pediatrics, Perinatology and Child Health top 2%
- Physiology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Haichen YangAntonio LaurenzaMark D. EisnerIrmarie Reyes‐RiveraDavid SquillacoteOral AlpanNicola A. HananiaDennis A. Wong
- Topics
- Epilepsy research and treatment (16 papers)Glioma Diagnosis and Treatment (8 papers)EEG and Brain-Computer Interfaces (8 papers)
- Cited by
- Psychiatry and Mental healthImmunology and AllergyPediatrics, Perinatology and Child Health
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jin Zhu
60 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Psychiatry and Mental health 589
- Pediatrics, Perinatology and Child Health 492
- Physiology 472
- Pulmonary and Respiratory Medicine 386
- Cellular and Molecular Neuroscience 379
Countries citing papers authored by Jin Zhu
This map shows the geographic impact of Jin Zhu'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 Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Zhu more than expected).
Fields of papers citing papers by Jin Zhu
This network shows the impact of papers produced by Jin Zhu. 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 Zhu. The network helps show where Jin Zhu may publish in the future.
Co-authorship network of co-authors of Jin Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Zhu. A scholar is included among the top collaborators of Jin Zhu 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 Jin Zhu. Jin Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | 26 | |
| 11 | 13 | |
| 12 | 45 | |
| 13 | A large microRNA cluster on chromosome 19 is a transcriptional hallmark of WHO type A and AB thymomas | 3 |
| 14 | 25 | |
| 15 | 27 | |
| 16 | 21 | |
| 17 | 26 | |
| 18 | 2 | |
| 19 | 77 | |
| 20 | 2 |
About Jin Zhu
Jin Zhu is a scholar working on Neurology, Psychiatry and Mental health and Genetics, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Epilepsy research and treatment (16 papers), Glioma Diagnosis and Treatment (8 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Psychiatry and Mental health (589 citations), Immunology and Allergy (175 citations) and Pediatrics, Perinatology and Child Health (492 citations). Jin Zhu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Haichen Yang, Antonio Laurenza, Mark D. Eisner, Irmarie Reyes‐Rivera, David Squillacote, Oral Alpan, Nicola A. Hanania, Dennis A. Wong, Daniel L. Hamilos and William W. Busse. Their work appears in journals such as Advanced Materials, Annals of Internal Medicine and PLoS ONE.
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.