Hailing Cheng
Impact in
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- RNA Research and Splicing
- RNA modifications and cancer
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 11
- Genomics, phytochemicals, and oxidative stress 5
- RNA modifications and cancer 5
- DNA Repair Mechanisms 4
- Glutathione Transferases and Polymorphisms 3
- Oncology 17
- HER2/EGFR in Cancer Research 4
- PARP inhibition in cancer therapy 4
- Co-authors
- Jean J. Zhao (15 shared papers)Thomas M. Roberts (9 shared papers)Pixu Liu (20 shared papers)Claire Moore (3 shared papers)Xiaoyuan He (2 shared papers)Ole Gjoerup (2 shared papers)Li Wang (1 shared paper)Aki Mikami (1 shared paper)
- Journals
- Oncogene (4 papers)Cancer Letters (3 papers)Proceedings of the National Academy of Sciences (3 papers)Cancer Research (3 papers)Redox Biology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hailing Cheng
39 papers receiving 4.3k citations
Hailing Cheng's Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 3.0k
- Genetics 413
- Oncology 1.0k
- Cancer Research 574
- Pathology and Forensic Medicine 336
Countries citing papers authored by Hailing Cheng
This map shows the geographic impact of Hailing Cheng'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 Hailing Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailing Cheng more than expected).
Fields of papers citing papers by Hailing Cheng
This network shows the impact of papers produced by Hailing Cheng. 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 Hailing Cheng. The network helps show where Hailing Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailing Cheng, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting the phosphoinositide 3-kinase pathway in cancer Hit paper breakdown → | 2009 | 2210 |
| 2 | 2011 | 211 | |
| 3 | 2006 | 186 | |
| 4 | 2013 | 149 | |
| 5 | 2009 | 131 | |
| 6 | 2003 | 123 | |
| 7 | 2012 | 114 | |
| 8 | 2016 | 89 | |
| 9 | 2016 | 88 | |
| 10 | 2017 | 84 | |
| 11 | 2017 | 84 | |
| 12 | 2016 | 82 | |
| 13 | 2004 | 80 | |
| 14 | 2016 | 74 | |
| 15 | 2016 | 73 | |
| 16 | 2019 | 60 | |
| 17 | 2015 | 52 | |
| 18 | 2006 | 49 | |
| 19 | 2013 | 46 | |
| 20 | 2015 | 34 |
About Hailing Cheng
Hailing Cheng is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 4.3k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (11 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), RNA modifications and cancer (5 papers), DNA Repair Mechanisms (4 papers), HER2/EGFR in Cancer Research (4 papers), PARP inhibition in cancer therapy (4 papers) and Glutathione Transferases and Polymorphisms (3 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Genetics (413 citations), Oncology (1.0k citations), Cancer Research (574 citations) and Pathology and Forensic Medicine (336 citations). Hailing Cheng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jean J. Zhao, Thomas M. Roberts, Pixu Liu, Claire Moore, Xiaoyuan He, Ole Gjoerup, Li Wang, Aki Mikami, Shidong Jia and Carolynn E. Ohlson. Their work appears in journals such as Oncogene, Cancer Letters, Proceedings of the National Academy of Sciences, Cancer Research and Redox Biology.
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.