Meidi Gu
Impact in
-
- interferon and immune responses
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
-
- Cancer, Hypoxia, and Metabolism
- NF-κB Signaling Pathways
Papers in
-
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 3
- Immune cells in cancer 2
- Oncology 5
- Cancer Immunotherapy and Biomarkers 2
- CAR-T cell therapy research 2
- Co-authors
- Xiaoping Xie (10 shared papers)Xuhong Cheng (10 shared papers)Shao‐Cong Sun (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)Gastroenterology (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Meidi Gu
14 papers receiving 464 citations
Peers
Comparison fields: 5 of 68
- Immunology 196
- Cancer Research 119
- Oncology 111
- Neurology 32
- Molecular Biology 188
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 | 2020 | 88 | |
| 2 | 2021 | 87 | |
| 3 | 2019 | 63 | |
| 4 | 2021 | 39 | |
| 5 | 2019 | 39 | |
| 6 | 2018 | 37 | |
| 7 | 2020 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2020 | 21 | |
| 10 | 2021 | 15 | |
| 11 | 2018 | 15 | |
| 12 | 2020 | 12 | |
| 13 | 2019 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2026 | 0 |
About Meidi Gu
Meidi Gu is a scholar working on Immunology, Oncology, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 15 papers that have together received 466 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), NF-κB Signaling Pathways (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune cells in cancer (2 papers), CAR-T cell therapy research (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Immunology (196 citations), Cancer Research (119 citations), Oncology (111 citations), Neurology (32 citations) and Molecular Biology (188 citations). Meidi Gu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Xiaoping Xie, Xuhong Cheng, Shao‐Cong Sun, 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 Gastroenterology.
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.