Hexin Shi
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- interferon and immune responses
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
- Immunology 12
- Immune Response and Inflammation 9
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 2
- IL-33, ST2, and ILC Pathways 2
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- Inflammasome and immune disorders 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Co-authors
- Bruce Beutler (11 shared papers)Eva Marie Y. Moresco (7 shared papers)Ying Wang (4 shared papers)Chen Wang (3 shared papers)Yujie Tang (2 shared papers)Dale L. Boger (4 shared papers)Bianhong Zhang (2 shared papers)Shaogang Sun (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Journal of Experimental Medicine (2 papers)Nature Communications (1 paper)Journal of Medicinal Chemistry (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Hexin Shi
14 papers receiving 659 citations
Peers
Comparison fields: 5 of 77
- Immunology 333
- Microbiology 38
- Cancer Research 79
- Molecular Biology 298
- Oncology 98
Countries citing papers authored by Hexin Shi
This map shows the geographic impact of Hexin 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 Hexin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hexin Shi more than expected).
Fields of papers citing papers by Hexin Shi
This network shows the impact of papers produced by Hexin 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 Hexin Shi. The network helps show where Hexin Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hexin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 136 | |
| 2 | 2018 | 100 | |
| 3 | 2006 | 85 | |
| 4 | 2012 | 71 | |
| 5 | 2007 | 52 | |
| 6 | 2018 | 45 | |
| 7 | 2019 | 44 | |
| 8 | 2006 | 41 | |
| 9 | 2021 | 33 | |
| 10 | 2016 | 24 | |
| 11 | 2019 | 17 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 2 |
About Hexin Shi
Hexin Shi is a scholar working on Immunology, Molecular Biology, Cancer Research, Oncology and Surgery, having authored 14 papers that have together received 662 indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), NF-κB Signaling Pathways (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (2 papers), Inflammasome and immune disorders (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Immunology (333 citations), Microbiology (38 citations), Cancer Research (79 citations), Molecular Biology (298 citations) and Oncology (98 citations). Hexin Shi has collaborated with scholars based in United States and China. Frequent co-authors include Bruce Beutler, Eva Marie Y. Moresco, Ying Wang, Chen Wang, Yujie Tang, Dale L. Boger, Bianhong Zhang, Shaogang Sun, Kai S. Yang and Lijing Su. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine, Nature Communications, Journal of Medicinal Chemistry and Molecular Biology of the Cell.
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.