Xiaochen Gao
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- interferon and immune responses
- Immune cells in cancer
- Biomaterials top 10%
- Nanocomposite Films for Food Packaging
Papers in
- Immunology 10
- interferon and immune responses 4
- Immune cells in cancer 3
- T-cell and B-cell Immunology 2
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- Traditional Chinese Medicine Analysis 5
- Co-authors
- Jie Sun (5 shared papers)Xiaobo Zhang (1 shared paper)Yan Wang (1 shared paper)Zhiwei Tong (1 shared paper)Haihong Li (1 shared paper)Yue Wu (3 shared papers)Chaofan Li (2 shared papers)Bibo Zhu (4 shared papers)
- Journals
- Combinatorial Chemistry & High Throughput Screening (3 papers)Molecules (3 papers)Flavour and Fragrance Journal (2 papers)Journal of Surgical Research (2 papers)TrAC Trends in Analytical Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Xiaochen Gao
43 papers receiving 900 citations
Peers
Comparison fields: 5 of 80
- Immunology 275
- Biomaterials 76
- Infectious Diseases 92
- Epidemiology 139
- Aging 6
Countries citing papers authored by Xiaochen Gao
This map shows the geographic impact of Xiaochen Gao'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 Xiaochen Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Gao more than expected).
Fields of papers citing papers by Xiaochen Gao
This network shows the impact of papers produced by Xiaochen Gao. 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 Xiaochen Gao. The network helps show where Xiaochen Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochen Gao, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 166 | |
| 2 | 2021 | 122 | |
| 3 | 2019 | 104 | |
| 4 | 2012 | 94 | |
| 5 | 2021 | 49 | |
| 6 | 2021 | 43 | |
| 7 | 2019 | 38 | |
| 8 | 2023 | 34 | |
| 9 | 2020 | 32 | |
| 10 | 2022 | 32 | |
| 11 | 2020 | 23 | |
| 12 | 2021 | 15 | |
| 13 | 2019 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2014 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2023 | 8 |
About Xiaochen Gao
Xiaochen Gao is a scholar working on Immunology, Complementary and alternative medicine, Pharmacology, Molecular Biology and Immunology and Allergy, having authored 46 papers that have together received 909 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (5 papers), interferon and immune responses (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Immune cells in cancer (3 papers), Influenza Virus Research Studies (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Allergic Rhinitis and Sensitization (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (275 citations), Biomaterials (76 citations), Infectious Diseases (92 citations), Epidemiology (139 citations) and Aging (6 citations). Xiaochen Gao has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Jie Sun, Xiaobo Zhang, Yan Wang, Zhiwei Tong, Haihong Li, Yue Wu, Chaofan Li, Bibo Zhu, Wenjun Ma and Yao Chen. Their work appears in journals such as Combinatorial Chemistry & High Throughput Screening, Molecules, Flavour and Fragrance Journal, Journal of Surgical Research and TrAC Trends in Analytical Chemistry.
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.