Weiwei Yan
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Cancer-related gene regulation 5
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
- Oncology 8
- Cancer Immunotherapy and Biomarkers 3
- Lung Cancer Research Studies 2
- Co-authors
- Jinming Yu (9 shared papers)Hui Zhu (7 shared papers)Qun‐Ying Lei (2 shared papers)Ji‐Bin Peng (1 shared paper)Xiaoming Bao (1 shared paper)Haojie Lu (1 shared paper)Miao Yin (1 shared paper)Shaowu Zou (1 shared paper)
- Journals
- Journal of Clinical Investigation (2 papers)Journal of Clinical Oncology (2 papers)Cell Reports (2 papers)OncoTargets and Therapy (2 papers)Cancer Medicine (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Weiwei Yan
30 papers receiving 632 citations
Peers
Comparison fields: 5 of 82
- Geriatrics and Gerontology 35
- Developmental Neuroscience 25
- Critical Care and Intensive Care Medicine 27
- Biological Psychiatry 14
- Cancer Research 77
Countries citing papers authored by Weiwei Yan
This map shows the geographic impact of Weiwei Yan'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 Weiwei Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Yan more than expected).
Fields of papers citing papers by Weiwei Yan
This network shows the impact of papers produced by Weiwei Yan. 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 Weiwei Yan. The network helps show where Weiwei Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Yan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 124 | |
| 2 | 2018 | 74 | |
| 3 | 1994 | 56 | |
| 4 | 2021 | 50 | |
| 5 | 2020 | 42 | |
| 6 | 2017 | 37 | |
| 7 | 2019 | 32 | |
| 8 | 2019 | 24 | |
| 9 | 2019 | 24 | |
| 10 | 2023 | 22 | |
| 11 | 2019 | 20 | |
| 12 | 2017 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2016 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2023 | 7 |
About Weiwei Yan
Weiwei Yan is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 639 indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), Epigenetics and DNA Methylation (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (35 citations), Developmental Neuroscience (25 citations), Critical Care and Intensive Care Medicine (27 citations), Biological Psychiatry (14 citations) and Cancer Research (77 citations). Weiwei Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jinming Yu, Hui Zhu, Qun‐Ying Lei, Ji‐Bin Peng, Xiaoming Bao, Haojie Lu, Miao Yin, Shaowu Zou, Liming Wei and Yingying Xu. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology, Cell Reports, OncoTargets and Therapy and Cancer Medicine.
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.