Jun Shi
Impact in
- Immunology top 5%
- 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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- RNA Research and Splicing 3
- Muscle Physiology and Disorders 3
- Fungal and yeast genetics research 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)Wenming Wang (4 shared papers)Jing Fan (4 shared papers)
- Journals
- Animals (2 papers)Medicine (1 paper)Journal of Thoracic Oncology (1 paper)European Journal of Plant Pathology (1 paper)Aquaculture Nutrition (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Jun Shi
35 papers receiving 867 citations
Peers
Comparison fields: 5 of 84
- Immunology 403
- Cancer Research 123
- Infectious Diseases 103
- Anesthesiology and Pain Medicine 28
- Developmental Neuroscience 17
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 237 | |
| 2 | 2014 | 63 | |
| 3 | 2014 | 63 | |
| 4 | 1994 | 57 | |
| 5 | 2019 | 52 | |
| 6 | 2017 | 52 | |
| 7 | 2012 | 52 | |
| 8 | 2018 | 35 | |
| 9 | 2013 | 32 | |
| 10 | 2015 | 24 | |
| 11 | 2013 | 23 | |
| 12 | 2022 | 21 | |
| 13 | 2012 | 21 | |
| 14 | 2016 | 20 | |
| 15 | 2007 | 17 | |
| 16 | 2022 | 15 | |
| 17 | 2009 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2008 | 11 | |
| 20 | 2021 | 10 |
About Jun Shi
Jun Shi is a scholar working on Molecular Biology, Immunology, Plant Science, Oncology and Cancer Research, having authored 38 papers that have together received 883 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), RNA Research and Splicing (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Muscle Physiology and Disorders (3 papers), Immune Response and Inflammation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Fungal and yeast genetics research (3 papers). The work is most often cited by research in Immunology (403 citations), Cancer Research (123 citations), Infectious Diseases (103 citations), Anesthesiology and Pain Medicine (28 citations) and Developmental Neuroscience (17 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, Wenming Wang, Bing Wang, Jing Fan and Shaojun Du. Their work appears in journals such as Animals, Medicine, Journal of Thoracic Oncology, European Journal of Plant Pathology and Aquaculture Nutrition.
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.