Ning Jiang
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 38
- T-cell and B-cell Immunology 25
- Immune Cell Function and Interaction 25
- Immunotherapy and Immune Responses 9
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- Glycosylation and Glycoproteins Research 5
- Single-cell and spatial transcriptomics 4
- Co-authors
- Cheng Zhu (9 shared papers)Stephen R. Quake (4 shared papers)Daniel S. Fisher (3 shared papers)Joshua A. Weinstein (3 shared papers)Brian D. Evavold (4 shared papers)Jun Huang (4 shared papers)Richard White (2 shared papers)Baoyu Liu (2 shared papers)
- Journals
- The Journal of Immunology (7 papers)Frontiers in Immunology (5 papers)Nature Communications (3 papers)Proceedings of the National Academy of Sciences (2 papers)Science Translational Medicine (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Ning Jiang
77 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 144
- Immunology 1.8k
- Oncology 681
- Radiology, Nuclear Medicine and Imaging 507
- Immunology and Allergy 110
- Molecular Biology 1.1k
Countries citing papers authored by Ning Jiang
This map shows the geographic impact of Ning Jiang'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 Ning Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Jiang more than expected).
Fields of papers citing papers by Ning Jiang
This network shows the impact of papers produced by Ning Jiang. 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 Ning Jiang. The network helps show where Ning Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Jiang, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 387 | |
| 2 | 2009 | 321 | |
| 3 | 2013 | 249 | |
| 4 | 2015 | 218 | |
| 5 | 2011 | 162 | |
| 6 | 2018 | 141 | |
| 7 | 2021 | 119 | |
| 8 | 1997 | 104 | |
| 9 | 1997 | 99 | |
| 10 | 2011 | 90 | |
| 11 | 2019 | 86 | |
| 12 | 2000 | 84 | |
| 13 | 2000 | 78 | |
| 14 | 2020 | 76 | |
| 15 | 2022 | 62 | |
| 16 | 2019 | 61 | |
| 17 | 2012 | 60 | |
| 18 | 2009 | 60 | |
| 19 | 2021 | 59 | |
| 20 | 2002 | 57 |
About Ning Jiang
Ning Jiang is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 80 papers that have together received 3.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (25 papers), Immune Cell Function and Interaction (25 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (8 papers), Glycosylation and Glycoproteins Research (5 papers), HIV Research and Treatment (5 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Immunology (1.8k citations), Oncology (681 citations), Radiology, Nuclear Medicine and Imaging (507 citations), Immunology and Allergy (110 citations) and Molecular Biology (1.1k citations). Ning Jiang has collaborated with scholars based in United States, China and France. Frequent co-authors include Cheng Zhu, Stephen R. Quake, Daniel S. Fisher, Joshua A. Weinstein, Brian D. Evavold, Jun Huang, Richard White, Baoyu Liu, Lindsay J. Edwards and Veronika I. Zarnitsyna. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Nature Communications, Proceedings of the National Academy of Sciences and Science Translational Medicine.
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.