Duo Wen
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
-
- Thyroid Cancer Diagnosis and Treatment
Papers in
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- RNA modifications and cancer 6
- Circular RNAs in diseases 3
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- Thyroid Cancer Diagnosis and Treatment 17
- Co-authors
- Dongli Liu (8 shared papers)Wei‐Zhong Wu (8 shared papers)Jia Fan (8 shared papers)Lili Dong (7 shared papers)Ben Ma (15 shared papers)Tian Liao (16 shared papers)Qinghai Ji (13 shared papers)Yulong Wang (13 shared papers)
- Journals
- Scientific Reports (2 papers)Oncology Reports (2 papers)Tumor Biology (2 papers)Cancer Medicine (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaEthiopiaSaudi Arabia
In The Last Decade
Duo Wen
36 papers receiving 842 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 361
- Endocrinology, Diabetes and Metabolism 212
- Molecular Biology 513
- Oncology 106
- Immunology 60
Countries citing papers authored by Duo Wen
This map shows the geographic impact of Duo Wen'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 Duo Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duo Wen more than expected).
Fields of papers citing papers by Duo Wen
This network shows the impact of papers produced by Duo Wen. 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 Duo Wen. The network helps show where Duo Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Duo Wen, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 89 | |
| 2 | 2020 | 73 | |
| 3 | 2014 | 67 | |
| 4 | 2015 | 55 | |
| 5 | 2018 | 52 | |
| 6 | 2016 | 42 | |
| 7 | 2016 | 40 | |
| 8 | 2020 | 40 | |
| 9 | 2019 | 32 | |
| 10 | 2016 | 28 | |
| 11 | 2018 | 23 | |
| 12 | 2016 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2017 | 22 | |
| 15 | 2015 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2018 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2020 | 17 | |
| 20 | 2015 | 14 |
About Duo Wen
Duo Wen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Oncology and Surgery, having authored 36 papers that have together received 848 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (17 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (6 papers), Thyroid and Parathyroid Surgery (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Circular RNAs in diseases (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (361 citations), Endocrinology, Diabetes and Metabolism (212 citations), Molecular Biology (513 citations), Oncology (106 citations) and Immunology (60 citations). Duo Wen has collaborated with scholars based in China, Ethiopia and Saudi Arabia. Frequent co-authors include Dongli Liu, Wei‐Zhong Wu, Jia Fan, Lili Dong, Ben Ma, Tian Liao, Qinghai Ji, Yulong Wang, Wenjun Wei and Zhong‐Wu Lu. Their work appears in journals such as Scientific Reports, Oncology Reports, Tumor Biology, Cancer Medicine and Oncotarget.
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.