Mengdi Guo
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Immunology 12
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 6
- Immune cells in cancer 3
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- HIV/AIDS Research and Interventions 3
- Tuberculosis Research and Epidemiology 2
- Co-authors
- David G. Brooks (8 shared papers)Zheng Zhu (10 shared papers)Tracy L. McGaha (6 shared papers)Yan Hu (6 shared papers)Weijie Xing (4 shared papers)Bethany MacLeod (5 shared papers)Pamela S. Ohashi (3 shared papers)Bei Wu (6 shared papers)
- Journals
- Immunity (2 papers)AIDS Care (2 papers)Trends in Immunology (1 paper)Science Immunology (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Mengdi Guo
23 papers receiving 628 citations
Peers
Comparison fields: 5 of 93
- Immunology 248
- Biological Psychiatry 16
- Oncology 141
- Research and Theory 4
- Infectious Diseases 65
Countries citing papers authored by Mengdi Guo
This map shows the geographic impact of Mengdi Guo'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 Mengdi Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengdi Guo more than expected).
Fields of papers citing papers by Mengdi Guo
This network shows the impact of papers produced by Mengdi Guo. 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 Mengdi Guo. The network helps show where Mengdi Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengdi Guo, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 145 | |
| 2 | 2019 | 115 | |
| 3 | 2022 | 72 | |
| 4 | 2019 | 52 | |
| 5 | 2018 | 35 | |
| 6 | 2024 | 32 | |
| 7 | 2021 | 29 | |
| 8 | 2021 | 28 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2021 | 17 | |
| 12 | 2019 | 13 | |
| 13 | 2023 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2021 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2025 | 3 |
About Mengdi Guo
Mengdi Guo is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 24 papers that have together received 633 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), HIV/AIDS Research and Interventions (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Immunology (248 citations), Biological Psychiatry (16 citations), Oncology (141 citations), Research and Theory (4 citations) and Infectious Diseases (65 citations). Mengdi Guo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include David G. Brooks, Zheng Zhu, Tracy L. McGaha, Yan Hu, Weijie Xing, Bethany MacLeod, Pamela S. Ohashi, Bei Wu, Heidi Elsaesser and Marcus O. Butler. Their work appears in journals such as Immunity, AIDS Care, Trends in Immunology, Science Immunology and Cell Reports.
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.