Meidi Gu
Impact in
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- Immune cells in cancer
- interferon and immune responses
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Cancer, Hypoxia, and Metabolism
- NF-κB Signaling Pathways
Papers in
- Immunology 10
- Immune Cell Function and Interaction 5
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 3
- interferon and immune responses 2
- Immune cells in cancer 2
- Oncology 6
- Cancer Immunotherapy and Biomarkers 3
- CAR-T cell therapy research 2
- Co-authors
- Shao‐Cong Sun (10 shared papers)Xiaoping Xie (10 shared papers)Xuhong Cheng (10 shared papers)Zuliang Jie (9 shared papers)Xiaofei Zhou (8 shared papers)Lele Zhu (7 shared papers)Yanchuan Li (7 shared papers)Jin‐Young Yang (7 shared papers)
- Journals
- Nature Immunology (3 papers)Nature Cell Biology (2 papers)Cellular and Molecular Immunology (2 papers)Translational Oncology (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Meidi Gu
14 papers receiving 442 citations
Peers
Comparison fields: 5 of 75
- Immunology 205
- Cancer Research 132
- Oncology 126
- Neurology 33
- Molecular Biology 204
Countries citing papers authored by Meidi Gu
This map shows the geographic impact of Meidi 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 Meidi Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meidi Gu more than expected).
Fields of papers citing papers by Meidi Gu
This network shows the impact of papers produced by Meidi 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 Meidi Gu. The network helps show where Meidi Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Meidi 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 | 2021 | 81 | |
| 2 | 2020 | 81 | |
| 3 | 2019 | 61 | |
| 4 | 2019 | 39 | |
| 5 | 2021 | 36 | |
| 6 | 2018 | 36 | |
| 7 | 2020 | 25 | |
| 8 | 2022 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2018 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 11 | |
| 13 | 2021 | 1 | |
| 14 | 2019 | 1 |
About Meidi Gu
Meidi Gu is a scholar working on Immunology, Oncology, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 14 papers that have together received 443 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (3 papers), Immunotherapy and Immune Responses (3 papers), NF-κB Signaling Pathways (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), interferon and immune responses (2 papers), CAR-T cell therapy research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (205 citations), Cancer Research (132 citations), Oncology (126 citations), Neurology (33 citations) and Molecular Biology (204 citations). Meidi Gu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Shao‐Cong Sun, Xiaoping Xie, Xuhong Cheng, Zuliang Jie, Xiaofei Zhou, Lele Zhu, Yanchuan Li, Jin‐Young Yang, Chun‐Jung Ko and Tianxiao Gao. Their work appears in journals such as Nature Immunology, Nature Cell Biology, Cellular and Molecular Immunology, Translational Oncology and Frontiers in Oncology.
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.