Qingjun Wei
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
-
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- RNA modifications and cancer 6
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 3
- Co-authors
- Li Zheng (3 shared papers)Dachang Liu (3 shared papers)Shuhan Liu (2 shared papers)Yuting Chen (1 shared paper)Ming Gao (1 shared paper)Jinhong Cai (1 shared paper)Wenyu Feng (12 shared papers)Yun Liu (5 shared papers)
In The Last Decade
Qingjun Wei
34 papers receiving 384 citations
Peers
Comparison fields: 5 of 75
- Rehabilitation 48
- Biomaterials 47
- Cancer Research 47
- Molecular Medicine 11
- Inorganic Chemistry 29
Countries citing papers authored by Qingjun Wei
This map shows the geographic impact of Qingjun Wei'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 Qingjun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingjun Wei more than expected).
Fields of papers citing papers by Qingjun Wei
This network shows the impact of papers produced by Qingjun Wei. 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 Qingjun Wei. The network helps show where Qingjun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingjun Wei, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 115 | |
| 2 | 2024 | 30 | |
| 3 | 2024 | 25 | |
| 4 | 2023 | 24 | |
| 5 | 2024 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 2023 | 13 | |
| 8 | 2019 | 13 | |
| 9 | 2022 | 11 | |
| 10 | Exploration and validation of downregulated microRNA-199a-3p, downstream messenger RNA targets and transcriptional regulation in osteosarcoma. | 2019 | 11 |
| 11 | 2006 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2010 | 5 | |
| 20 | 2021 | 5 |
About Qingjun Wei
Qingjun Wei is a scholar working on Molecular Biology, Cancer Research, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 40 papers that have together received 389 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (6 papers), Immune cells in cancer (5 papers), Contact Dermatitis and Allergies (3 papers), Advanced Nanomaterials in Catalysis (3 papers), MicroRNA in disease regulation (3 papers), Nanoplatforms for cancer theranostics (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Rehabilitation (48 citations), Biomaterials (47 citations), Cancer Research (47 citations), Molecular Medicine (11 citations) and Inorganic Chemistry (29 citations). Qingjun Wei has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Li Zheng, Dachang Liu, Shuhan Liu, Yuting Chen, Ming Gao, Jinhong Cai, Wenyu Feng, Yun Liu, Shijie Liao and Jingyuan Fan. Their work appears in journals such as Medicine, Experimental Biology and Medicine, Regenerative Biomaterials, Aging and Frontiers in Pediatrics.
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.