Hailun Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Biotechnology top 5%
Papers in
-
- Epigenetics and DNA Methylation 4
- Bacillus and Francisella bacterial research 3
- Cancer-related gene regulation 3
- Oncology 9
- Co-authors
- Phuoc T. Tran (9 shared papers)Zhaozhong Han (7 shared papers)Stephen H. Leppla (3 shared papers)Shihui Liu (3 shared papers)Dennis E. Hallahan (5 shared papers)Sharmina Miller-Randolph (2 shared papers)Devorah Crown (2 shared papers)Mahtab Moayeri (2 shared papers)
- Journals
- Cancer Letters (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Research (2 papers)Oncogene (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hailun Wang
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Cancer Research 215
- Biotechnology 106
- Molecular Biology 820
- Oncology 302
- Biomaterials 132
Countries citing papers authored by Hailun Wang
This map shows the geographic impact of Hailun 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 Hailun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailun Wang more than expected).
Fields of papers citing papers by Hailun Wang
This network shows the impact of papers produced by Hailun 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 Hailun Wang. The network helps show where Hailun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailun 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 138 | |
| 2 | 2009 | 118 | |
| 3 | 2013 | 99 | |
| 4 | 2017 | 93 | |
| 5 | 2021 | 84 | |
| 6 | 2020 | 78 | |
| 7 | 2012 | 78 | |
| 8 | 2007 | 70 | |
| 9 | 2017 | 69 | |
| 10 | 2009 | 69 | |
| 11 | 2022 | 61 | |
| 12 | 2008 | 59 | |
| 13 | 2013 | 40 | |
| 14 | 2017 | 28 | |
| 15 | 2013 | 28 | |
| 16 | 2010 | 27 | |
| 17 | 2017 | 26 | |
| 18 | 2010 | 24 | |
| 19 | 2016 | 24 | |
| 20 | 2014 | 23 |
About Hailun Wang
Hailun Wang is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Surgery, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Advanced NMR Techniques and Applications (3 papers), Bacillus and Francisella bacterial research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer-related gene regulation (3 papers), Helminth infection and control (3 papers) and Coccidia and coccidiosis research (2 papers). The work is most often cited by research in Cancer Research (215 citations), Biotechnology (106 citations), Molecular Biology (820 citations), Oncology (302 citations) and Biomaterials (132 citations). Hailun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Phuoc T. Tran, Zhaozhong Han, Stephen H. Leppla, Shihui Liu, Dennis E. Hallahan, Sharmina Miller-Randolph, Devorah Crown, Mahtab Moayeri, Jin‐Yih Low and Satish Govindaraj. Their work appears in journals such as Cancer Letters, Proceedings of the National Academy of Sciences, Cancer Research, Oncogene and PLoS ONE.
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.