Xinglong Qu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
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- Melanoma and MAPK Pathways 2
- Circular RNAs in diseases 2
- Oncology 7
- Cutaneous Melanoma Detection and Management 4
- Co-authors
- Shucheng Hua (2 shared papers)Ying Tang (1 shared paper)Huan Xia (1 shared paper)Lingyun Liu (1 shared paper)Hongyu Jing (1 shared paper)Zhigang Cao (5 shared papers)Jianxin Guo (2 shared papers)Xiaoguang Yang (4 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Journal of Cellular Physiology (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Journal of Virology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesSlovakia
In The Last Decade
Xinglong Qu
26 papers receiving 507 citations
Peers
Comparison fields: 5 of 110
- Cancer Research 137
- Immunology 121
- Oncology 111
- Molecular Biology 188
- Biological Psychiatry 5
Countries citing papers authored by Xinglong Qu
This map shows the geographic impact of Xinglong Qu'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 Xinglong Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinglong Qu more than expected).
Fields of papers citing papers by Xinglong Qu
This network shows the impact of papers produced by Xinglong Qu. 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 Xinglong Qu. The network helps show where Xinglong Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinglong Qu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 240 | |
| 2 | 2018 | 44 | |
| 3 | 2018 | 37 | |
| 4 | 2020 | 35 | |
| 5 | 2019 | 26 | |
| 6 | 2019 | 20 | |
| 7 | 2013 | 18 | |
| 8 | 2017 | 17 | |
| 9 | 2019 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2018 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2018 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2017 | 2 |
About Xinglong Qu
Xinglong Qu is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology, having authored 28 papers that have together received 516 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (4 papers), Opinion Dynamics and Social Influence (3 papers), Respiratory viral infections research (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Cancer-related molecular mechanisms research (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Melanoma and MAPK Pathways (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (137 citations), Immunology (121 citations), Oncology (111 citations), Molecular Biology (188 citations) and Biological Psychiatry (5 citations). Xinglong Qu has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Shucheng Hua, Ying Tang, Huan Xia, Lingyun Liu, Hongyu Jing, Zhigang Cao, Jianxin Guo, Xiaoguang Yang, Baihe Gu and Wei Sun. Their work appears in journals such as Frontiers in Immunology, Journal of Cellular Physiology, Frontiers in Cellular and Infection Microbiology, Journal of Virology and Scientific 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.