Qing Ge
- Immunology top 1%
- T-cell and B-cell Immunology 41
- Immune Cell Function and Interaction 38
- Immunotherapy and Immune Responses 19
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 14
- Genetics top 2%
- Virus-based gene therapy research 6
- Cancer Research top 5%
- Oncology top 5%
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- Multiple Myeloma Research and Treatments 6
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- Adrenal Hormones and Disorders 6
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- Spaceflight effects on biology 5
- Co-authors
- Jianzhu ChenHerman N. EisenTam NguyenBryan K. ChoVarada P. RaoJames LuAlexander M. KlibanovMini Thomas
- Cited by
- ImmunologyMolecular BiologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (12 papers)The Journal of Immunology (5 papers)Biochemical and Biophysical Research Communications (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Qing Ge
97 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 123
- Immunology 1.7k
- Molecular Biology 2.1k
- Genetics 723
- Cancer Research 329
- Oncology 481
Countries citing papers authored by Qing Ge
This map shows the geographic impact of Qing Ge'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 Qing Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Ge more than expected).
Fields of papers citing papers by Qing Ge
This network shows the impact of papers produced by Qing Ge. 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 Qing Ge. The network helps show where Qing Ge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qing Ge, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 36 | |
| 10 | 2019 | 26 | |
| 11 | 2017 | 23 | |
| 12 | 2013 | 21 | |
| 13 | 2010 | 25 | |
| 14 | 2010 | 1 | |
| 15 | 2009 | 56 | |
| 16 | 2009 | 65 | |
| 17 | 2004 | 14 | |
| 18 | 2002 | 66 | |
| 19 | 2002 | 52 | |
| 20 | 1999 | 1 |
About Qing Ge
Qing Ge is a scholar working on Immunology, Horticulture, Hematology, Endocrine and Autonomic Systems and Aging, having authored 102 papers that have together received 4.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (41 papers), Immune Cell Function and Interaction (38 papers), Immunotherapy and Immune Responses (19 papers), RNA Interference and Gene Delivery (14 papers), Virus-based gene therapy research (6 papers), Multiple Myeloma Research and Treatments (6 papers), Adrenal Hormones and Disorders (6 papers) and Spaceflight effects on biology (5 papers). The work is most often cited by research in Immunology (1.7k citations), Molecular Biology (2.1k citations), Genetics (723 citations), Cancer Research (329 citations) and Oncology (481 citations). Qing Ge has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianzhu Chen, Herman N. Eisen, Tam Nguyen, Bryan K. Cho, Varada P. Rao, James Lu, Alexander M. Klibanov, Mini Thomas, Ailin Bai and Ching-Hung Shen. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Biochemical and Biophysical Research Communications, Scientific Reports and Frontiers in Immunology.
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.