Yang Wan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- RNA modifications and cancer 11
- Epigenetics and DNA Methylation 11
- Cancer-related gene regulation 9
- Hematology 18
- Acute Myeloid Leukemia Research 11
- Co-authors
- Yongchun Yu (3 shared papers)Qiuhui Pan (3 shared papers)Xiaofan Zhu (34 shared papers)Qiongyu Chen (3 shared papers)Chunsheng Li (1 shared paper)Fenyong Sun (2 shared papers)Hong Wu (1 shared paper)Ji Ma (2 shared papers)
- Journals
- Blood (4 papers)Biochemical and Biophysical Research Communications (3 papers)International Journal of Hematology (2 papers)BMC Medical Genomics (2 papers)BMC Genomics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yang Wan
53 papers receiving 780 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 182
- Genetics 91
- Molecular Biology 446
- Hematology 65
- Rheumatology 80
Countries citing papers authored by Yang Wan
This map shows the geographic impact of Yang Wan'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 Yang Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Wan more than expected).
Fields of papers citing papers by Yang Wan
This network shows the impact of papers produced by Yang Wan. 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 Yang Wan. The network helps show where Yang Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Wan, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 119 | |
| 2 | 2009 | 97 | |
| 3 | Cytochrome P450 2E1 DraI polymorphisms in lung cancer in minority populations. | 1998 | 64 |
| 4 | 2001 | 53 | |
| 5 | 2018 | 49 | |
| 6 | 2016 | 28 | |
| 7 | 2016 | 28 | |
| 8 | 2014 | 27 | |
| 9 | 2014 | 25 | |
| 10 | 2013 | 23 | |
| 11 | 2019 | 23 | |
| 12 | 2013 | 22 | |
| 13 | 2014 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2014 | 15 | |
| 16 | 2015 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 12 |
About Yang Wan
Yang Wan is a scholar working on Molecular Biology, Hematology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Genetics, having authored 59 papers that have together received 789 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), RNA modifications and cancer (11 papers), Epigenetics and DNA Methylation (11 papers), Cancer-related gene regulation (9 papers), Acute Lymphoblastic Leukemia research (6 papers), Birth, Development, and Health (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Prenatal Screening and Diagnostics (5 papers). The work is most often cited by research in Cancer Research (182 citations), Genetics (91 citations), Molecular Biology (446 citations), Hematology (65 citations) and Rheumatology (80 citations). Yang Wan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yongchun Yu, Qiuhui Pan, Xiaofan Zhu, Qiongyu Chen, Chunsheng Li, Fenyong Sun, Hong Wu, Ji Ma, Fenyong Sun and Jiayi Wang. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, International Journal of Hematology, BMC Medical Genomics and BMC Genomics.
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.