Lu E. Jin
Impact in
- Biological Psychiatry top 5%
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Receptor Mechanisms and Signaling 5
- Ion channel regulation and function 4
- Nicotinic Acetylcholine Receptors Study 3
- Phosphodiesterase function and regulation 2
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- Neuroscience and Neuropharmacology Research 11
- Co-authors
- Amy F.T. Arnsten (10 shared papers)Min Wang (6 shared papers)Yang Yang (7 shared papers)Nao J. Gamo (3 shared papers)Xiao‐Jing Wang (2 shared papers)James A. Mazer (2 shared papers)Constantinos D. Paspalas (7 shared papers)Mark Laubach (2 shared papers)
- Journals
- Neuron (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Death and Disease (1 paper)Behavioural Brain Research (1 paper)Neurobiology of Learning and Memory (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Lu E. Jin
17 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Biological Psychiatry 110
- Cellular and Molecular Neuroscience 782
- Cognitive Neuroscience 717
- Neurology 181
- Behavioral Neuroscience 66
Countries citing papers authored by Lu E. Jin
This map shows the geographic impact of Lu E. 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 Lu E. Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu E. Jin more than expected).
Fields of papers citing papers by Lu E. Jin
This network shows the impact of papers produced by Lu E. 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 Lu E. Jin. The network helps show where Lu E. Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu E. Jin, 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 | 2013 | 355 | |
| 2 | 2011 | 346 | |
| 3 | 2013 | 153 | |
| 4 | 2014 | 107 | |
| 5 | 2017 | 86 | |
| 6 | Guanfacine for the treatment of cognitive disorders: a century of discoveries at Yale. | 2012 | 70 |
| 7 | 2017 | 64 | |
| 8 | 2012 | 63 | |
| 9 | 2014 | 60 | |
| 10 | 2020 | 56 | |
| 11 | 2016 | 45 | |
| 12 | 2013 | 29 | |
| 13 | 2019 | 18 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2013 | 1 |
About Lu E. Jin
Lu E. Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pharmacology and Physiology, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (7 papers), Receptor Mechanisms and Signaling (5 papers), Ion channel regulation and function (4 papers), Neural dynamics and brain function (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Alzheimer's disease research and treatments (2 papers) and Phosphodiesterase function and regulation (2 papers). The work is most often cited by research in Biological Psychiatry (110 citations), Cellular and Molecular Neuroscience (782 citations), Cognitive Neuroscience (717 citations), Neurology (181 citations) and Behavioral Neuroscience (66 citations). Lu E. Jin has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Amy F.T. Arnsten, Min Wang, Yang Yang, Nao J. Gamo, Xiao‐Jing Wang, James A. Mazer, Constantinos D. Paspalas, Mark Laubach, John H. Morrison and Daeyeol Lee. Their work appears in journals such as Neuron, Proceedings of the National Academy of Sciences, Cell Death and Disease, Behavioural Brain Research and Neurobiology of Learning and Memory.
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.