Qing Deng
Impact in
- Immunology top 2%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
- Immune Response and Inflammation
- Aquaculture disease management and microbiota
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications
Papers in
- Cell Biology 30
- Zebrafish Biomedical Research Applications 12
- Cellular transport and secretion 7
- Immunology 34
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 17
- Immune cells in cancer 9
- Immune Response and Inflammation 7
- Co-authors
- Anna HuttenlocherSa Kan YooJoseph BarbieriTaylor W. StarnesPeter J. CavnarRobert T. KennedyWenqing ZhouKlaus M. Hahn
- Journals
- Cell Reports (4 papers)Journal of Biological Chemistry (3 papers)Developmental Cell (3 papers)Cellular Microbiology (3 papers)Journal of Cell Science (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Qing Deng
97 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Immunology 1.3k
- Cell Biology 610
- Immunology and Allergy 206
- Cancer Research 392
- Molecular Biology 1.6k
Countries citing papers authored by Qing Deng
This map shows the geographic impact of Qing Deng'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 Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Deng more than expected).
Fields of papers citing papers by Qing Deng
This network shows the impact of papers produced by Qing Deng. 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 Deng. The network helps show where Qing Deng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qing Deng, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 15 | |
| 10 | 2019 | 38 | |
| 11 | 2019 | 13 | |
| 12 | 2018 | 20 | |
| 13 | 2016 | 30 | |
| 14 | Host-pathogen interactions in zebrafish | 2014 | 1 |
| 15 | 2011 | 15 | |
| 16 | 2011 | 4 | |
| 17 | 2011 | 75 | |
| 18 | 2010 | 87 | |
| 19 | 2007 | 29 | |
| 20 | 2003 | 3 |
About Qing Deng
Qing Deng is a scholar working on Cell Biology, Immunology, Immunology and Allergy, Cancer Research and Oncology, having authored 100 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (17 papers), Zebrafish Biomedical Research Applications (12 papers), Immune cells in cancer (9 papers), Cell Adhesion Molecules Research (9 papers), Cellular transport and secretion (7 papers), Immune Response and Inflammation (7 papers), MicroRNA in disease regulation (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Immunology (1.3k citations), Cell Biology (610 citations), Immunology and Allergy (206 citations), Cancer Research (392 citations) and Molecular Biology (1.6k citations). Qing Deng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Anna Huttenlocher, Sa Kan Yoo, Joseph Barbieri, Taylor W. Starnes, Peter J. Cavnar, Robert T. Kennedy, Wenqing Zhou, Klaus M. Hahn, Yi Wu and Alan Y. Hsu. Their work appears in journals such as Cell Reports, Journal of Biological Chemistry, Developmental Cell, Cellular Microbiology and Journal of Cell Science.
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.