Jun Shi
Impact in
- Immunology top 10%
- interferon and immune responses
- Aquaculture disease management and microbiota
- Immune Response and Inflammation
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- Cancer-related molecular mechanisms research
Papers in
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- Fungal and yeast genetics research 3
- RNA Research and Splicing 3
- Muscle Physiology and Disorders 3
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- interferon and immune responses 6
- Immune Response and Inflammation 3
- Co-authors
- Jian‐Fang Gui (5 shared papers)Yi-Bing Zhang (5 shared papers)Ting‐Kai Liu (4 shared papers)Fan Sun (3 shared papers)Bing Wang (1 shared paper)Jianshe Zhang (3 shared papers)Jing Fan (4 shared papers)Wenming Wang (4 shared papers)
- Journals
- Animals (2 papers)The Journal of Pediatrics (1 paper)Journal of Thoracic Oncology (1 paper)Human Molecular Genetics (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Jun Shi
33 papers receiving 823 citations
Peers
Comparison fields: 5 of 92
- Immunology 394
- Cancer Research 127
- Anesthesiology and Pain Medicine 39
- Infectious Diseases 104
- Developmental Neuroscience 18
Countries citing papers authored by Jun Shi
This map shows the geographic impact of Jun Shi'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 Jun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shi more than expected).
Fields of papers citing papers by Jun Shi
This network shows the impact of papers produced by Jun Shi. 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 Jun Shi. The network helps show where Jun Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shi, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 232 | |
| 2 | 2014 | 58 | |
| 3 | 2014 | 58 | |
| 4 | 2017 | 52 | |
| 5 | 1994 | 51 | |
| 6 | 2012 | 50 | |
| 7 | 2019 | 47 | |
| 8 | 2013 | 32 | |
| 9 | 2018 | 32 | |
| 10 | 2013 | 23 | |
| 11 | 2015 | 21 | |
| 12 | 2012 | 21 | |
| 13 | 2016 | 20 | |
| 14 | 2022 | 19 | |
| 15 | 2007 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2009 | 12 | |
| 18 | 2022 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2015 | 9 |
About Jun Shi
Jun Shi is a scholar working on Molecular Biology, Immunology, Plant Science, Oncology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 837 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Fungal and yeast genetics research (3 papers), RNA Research and Splicing (3 papers), Immune Response and Inflammation (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Cancer-related molecular mechanisms research (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Immunology (394 citations), Cancer Research (127 citations), Anesthesiology and Pain Medicine (39 citations), Infectious Diseases (104 citations) and Developmental Neuroscience (18 citations). Jun Shi has collaborated with scholars based in China, United States and France. Frequent co-authors include Jian‐Fang Gui, Yi-Bing Zhang, Ting‐Kai Liu, Fan Sun, Bing Wang, Jianshe Zhang, Jing Fan, Bing Wang, Wenming Wang and Elizabeth H. Chen. Their work appears in journals such as Animals, The Journal of Pediatrics, Journal of Thoracic Oncology, Human Molecular Genetics and Frontiers in Plant Science.
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.