Yanjun Wei
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
-
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
Papers in
-
- Cancer-related molecular mechanisms research 6
- Cancer Genomics and Diagnostics 2
- Breast Cancer Treatment Studies 2
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- Epigenetics and DNA Methylation 14
- CRISPR and Genetic Engineering 3
- Genomics and Chromatin Dynamics 2
- Co-authors
- Hongbo Liu (13 shared papers)Jianzhong Su (10 shared papers)Yan Zhang (6 shared papers)Qiong Wu (7 shared papers)Yan Zhang (7 shared papers)Yihan Wang (7 shared papers)Jiang Zhu (4 shared papers)Yue Gu (4 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Scientific Reports (3 papers)Science Advances (2 papers)PLoS ONE (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yanjun Wei
35 papers receiving 878 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 193
- Molecular Biology 494
- Oncology 86
- Genetics 30
- Pulmonary and Respiratory Medicine 80
Countries citing papers authored by Yanjun Wei
This map shows the geographic impact of Yanjun 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 Yanjun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Wei more than expected).
Fields of papers citing papers by Yanjun Wei
This network shows the impact of papers produced by Yanjun 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 Yanjun Wei. The network helps show where Yanjun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 122 | |
| 2 | 2015 | 81 | |
| 3 | 2015 | 66 | |
| 4 | 2018 | 63 | |
| 5 | 2012 | 51 | |
| 6 | 2015 | 46 | |
| 7 | 2020 | 40 | |
| 8 | 2023 | 37 | |
| 9 | 2023 | 37 | |
| 10 | 2021 | 34 | |
| 11 | 2014 | 31 | |
| 12 | 2021 | 24 | |
| 13 | 2024 | 24 | |
| 14 | 2016 | 21 | |
| 15 | 2016 | 20 | |
| 16 | 2022 | 20 | |
| 17 | 2023 | 20 | |
| 18 | 2023 | 20 | |
| 19 | 2023 | 18 | |
| 20 | 2023 | 16 |
About Yanjun Wei
Yanjun Wei is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 37 papers that have together received 894 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), Cancer-related molecular mechanisms research (6 papers), Ferroptosis and cancer prognosis (4 papers), CRISPR and Genetic Engineering (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer Genomics and Diagnostics (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Cancer Research (193 citations), Molecular Biology (494 citations), Oncology (86 citations), Genetics (30 citations) and Pulmonary and Respiratory Medicine (80 citations). Yanjun Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hongbo Liu, Jianzhong Su, Yan Zhang, Qiong Wu, Yan Zhang, Yihan Wang, Jiang Zhu, Yue Gu, Chuangeng Chen and Shipeng Shang. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Science Advances, PLoS ONE and Nature Communications.
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.