Yaqi Gu
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
- Immune Response and Inflammation
- Immune responses and vaccinations
- T-cell and B-cell Immunology
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Immune cells in cancer 2
- Invertebrate Immune Response Mechanisms 2
- Surgery 3
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 3
- Co-authors
- Zhaoyuan Liu (2 shared papers)Florent Ginhoux (2 shared papers)Amanda Shin (2 shared papers)Weijie Huang (1 shared paper)Honglin Wang (1 shared paper)Camille Blériot (1 shared paper)Andreas Schlitzer (1 shared paper)Lai Guan Ng (1 shared paper)
In The Last Decade
Yaqi Gu
12 papers receiving 586 citations
Yaqi Gu's Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 375
- Neurology 90
- Developmental Neuroscience 16
- Obstetrics and Gynecology 14
- Molecular Biology 140
Countries citing papers authored by Yaqi Gu
This map shows the geographic impact of Yaqi Gu'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 Yaqi Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaqi Gu more than expected).
Fields of papers citing papers by Yaqi Gu
This network shows the impact of papers produced by Yaqi Gu. 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 Yaqi Gu. The network helps show where Yaqi Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaqi Gu, 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 | Fate Mapping via Ms4a3-Expression History Traces Monocyte-Derived Cells Hit paper breakdown → | 2019 | 432 |
| 2 | 2020 | 68 | |
| 3 | 2019 | 18 | |
| 4 | 2020 | 12 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2019 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2025 | 3 |
About Yaqi Gu
Yaqi Gu is a scholar working on Immunology, Surgery, Molecular Biology, Aquatic Science and Ecology, having authored 12 papers that have together received 589 indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Immune cells in cancer (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Aquaculture Nutrition and Growth (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Physiological and biochemical adaptations (2 papers), Adipose Tissue and Metabolism (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Immunology (375 citations), Neurology (90 citations), Developmental Neuroscience (16 citations), Obstetrics and Gynecology (14 citations) and Molecular Biology (140 citations). Yaqi Gu has collaborated with scholars based in China, Singapore and Germany. Frequent co-authors include Zhaoyuan Liu, Florent Ginhoux, Amanda Shin, Weijie Huang, Honglin Wang, Camille Blériot, Andreas Schlitzer, Lai Guan Ng, Jinmiao Chen and Zhiduo Liu. Their work appears in journals such as Fish & Shellfish Immunology, Fish Physiology and Biochemistry, Journal of Functional Foods, Frontiers in Physiology and Frontiers in Public Health.
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.