Jin Jun Luo
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
- Neurology 13
- Long-Term Effects of COVID-19 3
- Co-authors
- Yamei Tang (5 shared papers)Ruying Fu (2 shared papers)Pengfei Xu (1 shared paper)Qingyu Shen (1 shared paper)Nae J. Dun (17 shared papers)Rong‐Ming Lyu (3 shared papers)John W. Kusiak (7 shared papers)J.K. Chang (2 shared papers)
- Journals
- Neurology (4 papers)Frontiers in Immunology (3 papers)Journal of the Neurological Sciences (3 papers)Neuroscience (3 papers)Clinical Neurophysiology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jin Jun Luo
86 papers receiving 2.4k citations
Jin Jun Luo's Hit Papers
Peers
Comparison fields: 5 of 139
- Neurology 475
- Biological Psychiatry 84
- Physiology 753
- Cellular and Molecular Neuroscience 410
- Developmental Neuroscience 83
Countries citing papers authored by Jin Jun Luo
This map shows the geographic impact of Jin Jun Luo'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 Jun Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Jun Luo more than expected).
Fields of papers citing papers by Jin Jun Luo
This network shows the impact of papers produced by Jin Jun Luo. 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 Jun Luo. The network helps show where Jin Jun Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Jun Luo, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Phagocytosis of Microglia in the Central Nervous System Diseases Hit paper breakdown → | 2014 | 504 |
| 2 | 1998 | 316 | |
| 3 | 2013 | 192 | |
| 4 | 2014 | 150 | |
| 5 | 1994 | 115 | |
| 6 | 2011 | 85 | |
| 7 | 2018 | 79 | |
| 8 | 2021 | 72 | |
| 9 | 2007 | 71 | |
| 10 | 2013 | 64 | |
| 11 | 2021 | 52 | |
| 12 | 2015 | 45 | |
| 13 | 2019 | 44 | |
| 14 | 2010 | 44 | |
| 15 | 2020 | 40 | |
| 16 | 1999 | 38 | |
| 17 | 2017 | 35 | |
| 18 | 2001 | 31 | |
| 19 | 2014 | 29 | |
| 20 | 2003 | 24 |
About Jin Jun Luo
Jin Jun Luo is a scholar working on Molecular Biology, Neurology, Physiology, Cellular and Molecular Neuroscience and Rheumatology, having authored 97 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Folate and B Vitamins Research (6 papers), Metabolism and Genetic Disorders (5 papers), Neuropeptides and Animal Physiology (4 papers), Cancer Treatment and Pharmacology (3 papers), Nerve injury and regeneration (3 papers), Long-Term Effects of COVID-19 (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Neurology (475 citations), Biological Psychiatry (84 citations), Physiology (753 citations), Cellular and Molecular Neuroscience (410 citations) and Developmental Neuroscience (83 citations). Jin Jun Luo has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yamei Tang, Ruying Fu, Pengfei Xu, Qingyu Shen, Nae J. Dun, Rong‐Ming Lyu, John W. Kusiak, J.K. Chang, S.L. Dun and Ali Mahta. Their work appears in journals such as Neurology, Frontiers in Immunology, Journal of the Neurological Sciences, Neuroscience and Clinical Neurophysiology.
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.