Jingjun Li
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
Papers in
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- Genomics and Chromatin Dynamics 1
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- Neurobiology and Insect Physiology Research 5
- Co-authors
- Manzoor A. Bhat (5 shared papers)James Ashley (2 shared papers)Vivian Budnik (2 shared papers)Swati Banerjee (3 shared papers)Raehum Paik (2 shared papers)Anilkumar M. Pillai (2 shared papers)Yong Lin (1 shared paper)Koen J. T. Venken (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Neuron (2 papers)Clinical Epigenetics (1 paper)Annals of Palliative Medicine (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jingjun Li
13 papers receiving 405 citations
Peers
Comparison fields: 5 of 65
- Aging 44
- Cellular and Molecular Neuroscience 215
- Developmental Neuroscience 33
- Cell Biology 113
- Neurology 27
Countries citing papers authored by Jingjun Li
This map shows the geographic impact of Jingjun Li'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 Jingjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingjun Li more than expected).
Fields of papers citing papers by Jingjun Li
This network shows the impact of papers produced by Jingjun Li. 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 Jingjun Li. The network helps show where Jingjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingjun Li, 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 | 2007 | 132 | |
| 2 | 2006 | 93 | |
| 3 | 2012 | 55 | |
| 4 | 2019 | 40 | |
| 5 | 2024 | 23 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 15 | |
| 8 | 2015 | 11 | |
| 9 | 2019 | 8 | |
| 10 | 2008 | 7 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 1 |
About Jingjun Li
Jingjun Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience and Immunology, having authored 13 papers that have together received 406 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (5 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Invertebrate Immune Response Mechanisms (1 paper), MicroRNA in disease regulation (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Physiological and biochemical adaptations (1 paper), Autism Spectrum Disorder Research (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Aging (44 citations), Cellular and Molecular Neuroscience (215 citations), Developmental Neuroscience (33 citations), Cell Biology (113 citations) and Neurology (27 citations). Jingjun Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Manzoor A. Bhat, James Ashley, Vivian Budnik, Swati Banerjee, Raehum Paik, Anilkumar M. Pillai, Yong Lin, Koen J. T. Venken, Hugo J. Bellen and Kuchuan Chen. Their work appears in journals such as Journal of Neuroscience, Neuron, Clinical Epigenetics, Annals of Palliative Medicine and Frontiers in Cell and Developmental Biology.
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.