Na Wang
Impact in
- Physiology top 5%
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 9
- RNA modifications and cancer 5
- Hematology 33
- Acute Myeloid Leukemia Research 17
- Hematopoietic Stem Cell Transplantation 14
- Co-authors
- Songlin Chen (6 shared papers)Jihui Jia (2 shared papers)Cheng‐Feng Qin (1 shared paper)Gary Wong (1 shared paper)Lina Jia (1 shared paper)Magnus Björkholm (1 shared paper)Dawei Xu (1 shared paper)Shihua Li (1 shared paper)
- Journals
- Frontiers in Oncology (6 papers)Frontiers in Immunology (5 papers)Medicine (4 papers)PLoS ONE (3 papers)Cancer Biology & Therapy (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Na Wang
177 papers receiving 2.8k citations
Na Wang's Hit Papers
Peers
Comparison fields: 5 of 145
- Physiology 88
- Hematology 198
- Cancer Research 243
- Genetics 146
- Molecular Biology 926
Countries citing papers authored by Na Wang
This map shows the geographic impact of Na Wang'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 Na Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Wang more than expected).
Fields of papers citing papers by Na Wang
This network shows the impact of papers produced by Na Wang. 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 Na Wang. The network helps show where Na Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Wang, 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 196 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Zika Virus Causes Testis Damage and Leads to Male Infertility in Mice Hit paper breakdown → | 2016 | 312 |
| 2 | 2009 | 129 | |
| 3 | 2012 | 120 | |
| 4 | 2008 | 115 | |
| 5 | 2020 | 51 | |
| 6 | 2007 | 50 | |
| 7 | 2022 | 47 | |
| 8 | 2018 | 46 | |
| 9 | 2017 | 45 | |
| 10 | 2024 | 44 | |
| 11 | 2012 | 41 | |
| 12 | 2018 | 41 | |
| 13 | 2015 | 40 | |
| 14 | 2009 | 40 | |
| 15 | 2018 | 38 | |
| 16 | 2008 | 37 | |
| 17 | 2020 | 36 | |
| 18 | 2021 | 35 | |
| 19 | 2014 | 33 | |
| 20 | 2020 | 33 |
About Na Wang
Na Wang is a scholar working on Molecular Biology, Hematology, Genetics, Public Health, Environmental and Occupational Health and Genetics, having authored 196 papers that have together received 2.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Hematopoietic Stem Cell Transplantation (14 papers), Epigenetics and DNA Methylation (9 papers), Acute Lymphoblastic Leukemia research (7 papers), Glioma Diagnosis and Treatment (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Physiology (88 citations), Hematology (198 citations), Cancer Research (243 citations), Genetics (146 citations) and Molecular Biology (926 citations). Na Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Songlin Chen, Jihui Jia, Cheng‐Feng Qin, Gary Wong, Lina Jia, Magnus Björkholm, Dawei Xu, Shihua Li, Wei Li and Jinghua Yan. Their work appears in journals such as Frontiers in Oncology, Frontiers in Immunology, Medicine, PLoS ONE and Cancer Biology & Therapy.
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.