Hailing Cheng
Impact in
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
- Protein Kinase Regulation and GTPase Signaling
- RNA Research and Splicing
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 11
- RNA modifications and cancer 6
- DNA Repair Mechanisms 5
- Genomics, phytochemicals, and oxidative stress 5
- Oncology 18
- PARP inhibition in cancer therapy 5
- HER2/EGFR in Cancer Research 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)Shidong Jia (1 shared paper)Li Wang (1 shared paper)
- Journals
- Oncogene (4 papers)Cancer Letters (3 papers)Proceedings of the National Academy of Sciences (3 papers)Cancer Research (3 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hailing Cheng
39 papers receiving 4.2k citations
Hailing Cheng's Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 3.2k
- Genetics 489
- Cancer Research 664
- Oncology 1.2k
- Pathology and Forensic Medicine 391
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 | 2196 |
| 2 | 2011 | 210 | |
| 3 | 2006 | 186 | |
| 4 | 2013 | 147 | |
| 5 | 2009 | 131 | |
| 6 | 2003 | 123 | |
| 7 | 2012 | 112 | |
| 8 | 2016 | 88 | |
| 9 | 2016 | 86 | |
| 10 | 2017 | 83 | |
| 11 | 2017 | 81 | |
| 12 | 2016 | 81 | |
| 13 | 2004 | 80 | |
| 14 | 2016 | 72 | |
| 15 | 2016 | 70 | |
| 16 | 2019 | 58 | |
| 17 | 2015 | 50 | |
| 18 | 2006 | 49 | |
| 19 | 2013 | 45 | |
| 20 | 2015 | 33 |
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), RNA modifications and cancer (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), DNA Repair Mechanisms (5 papers), PARP inhibition in cancer therapy (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers), HER2/EGFR in Cancer Research (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Genetics (489 citations), Cancer Research (664 citations), Oncology (1.2k citations) and Pathology and Forensic Medicine (391 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, Shidong Jia, Li Wang, Aki Mikami and Carolynn E. Ohlson. Their work appears in journals such as Oncogene, Cancer Letters, Proceedings of the National Academy of Sciences, Cancer Research and Cell Death and Disease.
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.