Xian‐Jun Qu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Sphingolipid Metabolism and Signaling 8
- Cancer therapeutics and mechanisms 8
- Oncology 47
- Drug Transport and Resistance Mechanisms 12
- Peptidase Inhibition and Analysis 12
- Chemokine receptors and signaling 8
- Co-authors
- Shu‐Xiang Cui (54 shared papers)Zu‐Hua Gao (24 shared papers)Xinfeng Yu (13 shared papers)Zhiyu Song (17 shared papers)Wei Tang (23 shared papers)Xiaohui Wang (5 shared papers)Shiyue Sun (8 shared papers)Ye Li (5 shared papers)
In The Last Decade
Xian‐Jun Qu
129 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 821
- Hepatology 243
- Oncology 783
- Molecular Biology 1.8k
- Immunology 482
Countries citing papers authored by Xian‐Jun Qu
This map shows the geographic impact of Xian‐Jun 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 Xian‐Jun Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xian‐Jun Qu more than expected).
Fields of papers citing papers by Xian‐Jun Qu
This network shows the impact of papers produced by Xian‐Jun 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 Xian‐Jun Qu. The network helps show where Xian‐Jun Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xian‐Jun 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 284 | |
| 2 | 2019 | 152 | |
| 3 | 2014 | 138 | |
| 4 | 2022 | 115 | |
| 5 | 2017 | 109 | |
| 6 | 2015 | 106 | |
| 7 | 2015 | 97 | |
| 8 | 2010 | 88 | |
| 9 | 2014 | 84 | |
| 10 | 2006 | 74 | |
| 11 | 2015 | 70 | |
| 12 | 2009 | 62 | |
| 13 | 2018 | 60 | |
| 14 | 2009 | 56 | |
| 15 | 2014 | 54 | |
| 16 | 2018 | 54 | |
| 17 | 2008 | 53 | |
| 18 | 2008 | 52 | |
| 19 | 2008 | 49 | |
| 20 | 2008 | 48 |
About Xian‐Jun Qu
Xian‐Jun Qu is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 131 papers that have together received 3.9k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Peptidase Inhibition and Analysis (12 papers), Protease and Inhibitor Mechanisms (10 papers), Sphingolipid Metabolism and Signaling (8 papers), Chemokine receptors and signaling (8 papers), Cancer therapeutics and mechanisms (8 papers), Autophagy in Disease and Therapy (7 papers) and Cancer Mechanisms and Therapy (7 papers). The work is most often cited by research in Cancer Research (821 citations), Hepatology (243 citations), Oncology (783 citations), Molecular Biology (1.8k citations) and Immunology (482 citations). Xian‐Jun Qu has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Shu‐Xiang Cui, Zu‐Hua Gao, Xinfeng Yu, Zhiyu Song, Wei Tang, Xiaohui Wang, Shiyue Sun, Ye Li, Yanna Cheng and Xue Xia. Their work appears in journals such as Biomedicine & Pharmacotherapy, European Journal of Medicinal Chemistry, Cancer Letters, European Journal of Pharmacology and Cancer Biology & Therapy.
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.