Hankui Chen
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
Papers in ⓘ
-
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Oncology 6
- Cancer-related Molecular Pathways 3
- Co-authors
- Rick A. Kittles (4 shared papers)Peter Paschka (1 shared paper)James W. Vardiman (1 shared paper)Tamara Vukosavljevic (1 shared paper)Amy S. Ruppert (1 shared paper)Danilo Perrotti (1 shared paper)Guido Marcucci (1 shared paper)Andrew J. Carroll (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Oncotarget (2 papers)The Prostate (1 paper)RNA (1 paper)Human Genetics (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Hankui Chen
22 papers receiving 974 citations
Peers
Comparison fields: 5 of 84
- Hematology 423
- Cancer Research 257
- Genetics 152
- Molecular Biology 506
- Immunology 137
Countries citing papers authored by Hankui Chen
This map shows the geographic impact of Hankui Chen'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 Hankui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hankui Chen more than expected).
Fields of papers citing papers by Hankui Chen
This network shows the impact of papers produced by Hankui Chen. 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 Hankui Chen. The network helps show where Hankui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hankui Chen, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 464 | |
| 2 | 2016 | 111 | |
| 3 | 2016 | 94 | |
| 4 | 2016 | 60 | |
| 5 | 2009 | 55 | |
| 6 | 2017 | 43 | |
| 7 | 2006 | 26 | |
| 8 | 2012 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2012 | 18 | |
| 11 | 2018 | 18 | |
| 12 | 1988 | 14 | |
| 13 | 2010 | 11 | |
| 14 | 2011 | 10 | |
| 15 | [Amplification of RIT1 in hepatocellular carcinoma and its clinical significance]. | 2003 | 8 |
| 16 | 2014 | 7 | |
| 17 | 1982 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 1982 | 1 |
About Hankui Chen
Hankui Chen is a scholar working on Cancer Research, Oncology, Molecular Biology, Biochemistry and Spectroscopy, having authored 22 papers that have together received 993 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cancer-related Molecular Pathways (3 papers), Electromagnetic Scattering and Analysis (3 papers), RNA modifications and cancer (3 papers), Microwave Imaging and Scattering Analysis (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Hematology (423 citations), Cancer Research (257 citations), Genetics (152 citations), Molecular Biology (506 citations) and Immunology (137 citations). Hankui Chen has collaborated with scholars based in United States, China and India. Frequent co-authors include Rick A. Kittles, Peter Paschka, James W. Vardiman, Tamara Vukosavljevic, Amy S. Ruppert, Danilo Perrotti, Guido Marcucci, Andrew J. Carroll, Clara D. Bloomfield and Jonathan E. Kolitz. Their work appears in journals such as Journal of Clinical Oncology, Oncotarget, The Prostate, RNA and Human Genetics.
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.