Jin Chu
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in ⓘ
-
- Tryptophan and brain disorders 9
- Physiology 28
- Alzheimer's disease research and treatments 26
- Co-authors
- Domenico Praticò (27 shared papers)Yash B. Joshi (6 shared papers)Elisabetta Lauretti (4 shared papers)Phillip F. Giannopoulos (5 shared papers)Jianguo Li (5 shared papers)Carlos A. Barrero (1 shared paper)Salim Merali (1 shared paper)Carolina Ceballos‐Diaz (2 shared papers)
- Journals
- Neurobiology of Aging (4 papers)Biological Psychiatry (3 papers)Molecular Psychiatry (3 papers)Annals of Neurology (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jin Chu
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 118
- Biological Psychiatry 155
- Neurology 232
- Physiology 522
- Pharmacology 256
- Behavioral Neuroscience 48
Countries citing papers authored by Jin Chu
This map shows the geographic impact of Jin Chu'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 Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Chu more than expected).
Fields of papers citing papers by Jin Chu
This network shows the impact of papers produced by Jin Chu. 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 Chu. The network helps show where Jin Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 105 | |
| 2 | 2010 | 83 | |
| 3 | 2017 | 74 | |
| 4 | 2014 | 69 | |
| 5 | 2018 | 61 | |
| 6 | 2010 | 59 | |
| 7 | 2012 | 53 | |
| 8 | 2012 | 52 | |
| 9 | 2013 | 44 | |
| 10 | 2017 | 44 | |
| 11 | 2013 | 36 | |
| 12 | 2014 | 35 | |
| 13 | 2015 | 35 | |
| 14 | 2018 | 33 | |
| 15 | 2014 | 32 | |
| 16 | 2022 | 32 | |
| 17 | 2021 | 32 | |
| 18 | 2022 | 30 | |
| 19 | 2009 | 30 | |
| 20 | 2012 | 29 |
About Jin Chu
Jin Chu is a scholar working on Biological Psychiatry, Physiology, Neurology, Behavioral Neuroscience and Pharmacology, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (26 papers), Cholinesterase and Neurodegenerative Diseases (10 papers), Tryptophan and brain disorders (9 papers), Parasitic infections in humans and animals (7 papers), Congenital Anomalies and Fetal Surgery (7 papers), Plant-Microbe Interactions and Immunity (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Biological Psychiatry (155 citations), Neurology (232 citations), Physiology (522 citations), Pharmacology (256 citations) and Behavioral Neuroscience (48 citations). Jin Chu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Domenico Praticò, Yash B. Joshi, Elisabetta Lauretti, Phillip F. Giannopoulos, Jianguo Li, Carlos A. Barrero, Salim Merali, Carolina Ceballos‐Diaz, Lin Li and Lan Zhang. Their work appears in journals such as Neurobiology of Aging, Biological Psychiatry, Molecular Psychiatry, Annals of Neurology and Scientific Reports.
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.